Software Solutions Architect Direct hire Hybrid - Dublin, OH or Orlando, FL JOB SUMMARY An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems. ESSENTIAL DUTIES & RESPONSIBILITIES Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • Excels in meeting both explicit and implicit user needs. • Act as a thought leader in software engineering and AI-augmented development-designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality. • Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents. • Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows. • Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures. • Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking. Data Management • Partner with other expertise sets to provide prescriptive and anticipatory intelligence. • Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services. • Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation). • Set organizational best practices for data management and is considered a Subject Matter Expert. Infrastructure & Integrations • Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization. • Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services. • Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management. Operations • Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes. • Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems. • Subject Matter Expert in operational best practices, tools, and techniques. • Understand business impact at a macro level and advocate for protecting company reputation. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents). • Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST). • Set the standard for security and compliance within the organization. Product & User Experience • Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate. • Define user interaction patterns for multiple products, fostering consistent experiences. • Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set industry standards in crafting functional and non-functional requirements. • Orchestrate complex system architectures. • Fully understand the path of data. • Manage the balance of engineering future and current needs. • Set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work-generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints. KNOWLEDGE & REQUIREMENTS • Highly motivated, self-learner, and technically inquisitive, with a strong bias toward applying emerging AI tooling to engineering problems. • Significant experience creating architecture for complex distributed systems and leading teams through development of those systems. • Hands-on experience using Agentic AI for architecture, technical design, and implementation (e.g., AI coding agents, design copilots, automated code review, RAG-based design assistants). • Capable of leading and/or participating in business, culture, technical, and practice initiatives that support continuous improvement across the organization, including driving adoption of AI-augmented engineering workflows. • Excellent track record of collaborating with stakeholders. Experience proposing new product offerings and contributing to company-wide strategies using industry knowledge and foresight. • Negotiates complex or risky technical business issues on behalf of the company. • Consults with management to determine project objectives with long-term implications. • Experience leading technical due diligence and road mapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities: capable of communicating strategy and influencing others to align to future state architecture. • Expert level experience with multiple client-side and server-side programming languages (Java with Spring Boot, JavaScript React experience preferred). • Expert level experience developing, deploying, and supporting REST services and microservices. • Expert level experience with container orchestration platforms and cloud-native architectures; ability to design and lead adoption of cloud services across major cloud providers regardless of specific platform. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Expert level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Capable of joining a team to lead initiatives and create software to solve challenging problems. EDUCATION & EXPERIENCE REQUIREMENTS • Minimum years of work experience: 8+ years (including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation) • Minimum level of education or education/experience: Bachelor's or Advanced Degree in related field or equivalent work experience Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions) . click apply for full job details
09/24/2026
Full time
Software Solutions Architect Direct hire Hybrid - Dublin, OH or Orlando, FL JOB SUMMARY An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems. ESSENTIAL DUTIES & RESPONSIBILITIES Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • Excels in meeting both explicit and implicit user needs. • Act as a thought leader in software engineering and AI-augmented development-designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality. • Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents. • Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows. • Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures. • Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking. Data Management • Partner with other expertise sets to provide prescriptive and anticipatory intelligence. • Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services. • Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation). • Set organizational best practices for data management and is considered a Subject Matter Expert. Infrastructure & Integrations • Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization. • Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services. • Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management. Operations • Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes. • Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems. • Subject Matter Expert in operational best practices, tools, and techniques. • Understand business impact at a macro level and advocate for protecting company reputation. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents). • Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST). • Set the standard for security and compliance within the organization. Product & User Experience • Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate. • Define user interaction patterns for multiple products, fostering consistent experiences. • Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set industry standards in crafting functional and non-functional requirements. • Orchestrate complex system architectures. • Fully understand the path of data. • Manage the balance of engineering future and current needs. • Set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work-generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints. KNOWLEDGE & REQUIREMENTS • Highly motivated, self-learner, and technically inquisitive, with a strong bias toward applying emerging AI tooling to engineering problems. • Significant experience creating architecture for complex distributed systems and leading teams through development of those systems. • Hands-on experience using Agentic AI for architecture, technical design, and implementation (e.g., AI coding agents, design copilots, automated code review, RAG-based design assistants). • Capable of leading and/or participating in business, culture, technical, and practice initiatives that support continuous improvement across the organization, including driving adoption of AI-augmented engineering workflows. • Excellent track record of collaborating with stakeholders. Experience proposing new product offerings and contributing to company-wide strategies using industry knowledge and foresight. • Negotiates complex or risky technical business issues on behalf of the company. • Consults with management to determine project objectives with long-term implications. • Experience leading technical due diligence and road mapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities: capable of communicating strategy and influencing others to align to future state architecture. • Expert level experience with multiple client-side and server-side programming languages (Java with Spring Boot, JavaScript React experience preferred). • Expert level experience developing, deploying, and supporting REST services and microservices. • Expert level experience with container orchestration platforms and cloud-native architectures; ability to design and lead adoption of cloud services across major cloud providers regardless of specific platform. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Expert level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Capable of joining a team to lead initiatives and create software to solve challenging problems. EDUCATION & EXPERIENCE REQUIREMENTS • Minimum years of work experience: 8+ years (including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation) • Minimum level of education or education/experience: Bachelor's or Advanced Degree in related field or equivalent work experience Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions) . click apply for full job details
Senior .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - Strong C# / .NET (Core 6/8+) Development Building / Maintaining Production-Grade Applications / APIs / Services Clean / Maintainable Enterprise Code Design Patterns (Factory / Singleton, etc.) Onion / Clean Architecture Cloud Modernization / Migration - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Refactoring / Modernizing Existing Codebases While Maintaining High Uptime (99.9%+) Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads Beyond Portal-Based "Click-Ops" Deep Integration of Azure Services into .NET Code AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools/ Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Release Engineering - Building / Maintaining YAML-Based CI/CD Pipelines in Azure DevOps Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services Blue-Green Deployments / Feature Flags for Zero-Downtime Releases Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights with Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Scripting (PowerShell / BASH / Python) Identity / Security (Azure) - Implementing Secure Patterns in .NET Services (Entra ID / Managed Identities / RBAC / OAuth 2.0 / JWT / Azure Key Vault / Polly Retry Policies / Private Endpoints / VNET Integration) SOX Compliance / Secure Authentication Flows Debugging Post-Migration Identity Issues (Claims / Tokens / Conditional Access) Observability / SRE Practices - Applying SRE Principles within Development Production Troubleshooting / Root-Cause Analysis / Iterative Improvements on .NET Applications in Azure Custom Telemetry / Logging / Performance Monitoring (Application Insights / Log Analytics / Alerting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (Cosmos DB) Hands-on SQL Scripting Designing / Evolving Database Schemas Query Performance Analysis / Indexing / Tuning (Post-Migration Behavior Changes, etc.) Problem Solving / Full SDLC Ownership - End-to-End Ownership of Complex Features / Improvements Architecture Decisions / Implementation / Production Debugging / Refactoring / Post-Deployment Enhancements Developer-First Mindset for Building Automation Tools / Reliability Frameworks PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Senior .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - Strong C# / .NET (Core 6/8+) Development Building / Maintaining Production-Grade Applications / APIs / Services Clean / Maintainable Enterprise Code Design Patterns (Factory / Singleton, etc.) Onion / Clean Architecture Cloud Modernization / Migration - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Refactoring / Modernizing Existing Codebases While Maintaining High Uptime (99.9%+) Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads Beyond Portal-Based "Click-Ops" Deep Integration of Azure Services into .NET Code AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools/ Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Release Engineering - Building / Maintaining YAML-Based CI/CD Pipelines in Azure DevOps Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services Blue-Green Deployments / Feature Flags for Zero-Downtime Releases Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights with Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Scripting (PowerShell / BASH / Python) Identity / Security (Azure) - Implementing Secure Patterns in .NET Services (Entra ID / Managed Identities / RBAC / OAuth 2.0 / JWT / Azure Key Vault / Polly Retry Policies / Private Endpoints / VNET Integration) SOX Compliance / Secure Authentication Flows Debugging Post-Migration Identity Issues (Claims / Tokens / Conditional Access) Observability / SRE Practices - Applying SRE Principles within Development Production Troubleshooting / Root-Cause Analysis / Iterative Improvements on .NET Applications in Azure Custom Telemetry / Logging / Performance Monitoring (Application Insights / Log Analytics / Alerting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (Cosmos DB) Hands-on SQL Scripting Designing / Evolving Database Schemas Query Performance Analysis / Indexing / Tuning (Post-Migration Behavior Changes, etc.) Problem Solving / Full SDLC Ownership - End-to-End Ownership of Complex Features / Improvements Architecture Decisions / Implementation / Production Debugging / Refactoring / Post-Deployment Enhancements Developer-First Mindset for Building Automation Tools / Reliability Frameworks PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Senior Software Architect We are seeking a Principal Software Architect to lead the design and implementation of enterprise cloud, data, and AI solutions. Responsibilities Design scalable, secure cloud and enterprise application architectures. Lead cloud migration and modernization initiatives. Develop AI and data platform solutions to support business operations. Establish architecture standards, governance, and best practices. Provide technical leadership, mentoring, and design guidance to engineering teams. Partner with cross-functional stakeholders to deliver enterprise technology solutions. Ensure applications meet security, compliance, and performance standards. Support software delivery through architecture reviews and technical oversight. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of software engineering experience, including 5+ years in a senior architecture or technical leadership role. Strong experience with Microsoft Azure cloud services and enterprise architecture. Experience with AI, machine learning, cloud data platforms, and application modernization. Proficiency in C#, .NET, Python, SQL, and modern DevOps practices. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Senior Software Architect We are seeking a Principal Software Architect to lead the design and implementation of enterprise cloud, data, and AI solutions. Responsibilities Design scalable, secure cloud and enterprise application architectures. Lead cloud migration and modernization initiatives. Develop AI and data platform solutions to support business operations. Establish architecture standards, governance, and best practices. Provide technical leadership, mentoring, and design guidance to engineering teams. Partner with cross-functional stakeholders to deliver enterprise technology solutions. Ensure applications meet security, compliance, and performance standards. Support software delivery through architecture reviews and technical oversight. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of software engineering experience, including 5+ years in a senior architecture or technical leadership role. Strong experience with Microsoft Azure cloud services and enterprise architecture. Experience with AI, machine learning, cloud data platforms, and application modernization. Proficiency in C#, .NET, Python, SQL, and modern DevOps practices. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details
09/24/2026
Full time
Senior AI Developer (Palantir AI Platform) DETAILS Location: Remote (strong preference to candidates local to Irving, TX 75039) Travel: If not local to the Irving, TX area, must be willing to travel in 1-2x per month, as needed Position Type: Direct-Hire Hourly / Salary: to $170K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior AI Developer (Palantir AI Platform) for a Direct-Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1-2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives. Rather than building isolated machine learning models, the Senior AI Developer will work directly with business leaders to identify valuable use cases, design technical architectures, develop production-grade AI applications, deploy them into cloud environments, and ensure they remain secure, scalable, monitored, and governed over time. The Senior AI Developer will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps, Solution Architecture, and Business Consulting, requiring someone who is equally comfortable writing production Python code, designing LLM applications, facilitating whiteboard sessions with executives, and measuring business value after deployment. Enterprise AI Solution Architecture / Application Delivery - Designing Scalable Enterprise AI / Machine Learning Architectures While Developing / Deploying Production AI Applications Using Python Across Palantir / MS AI Ecosystems Supporting Predictive Models / Generative AI / NLP / Intelligent Automation Enterprise AI Enablement / Business Partnership - Partnering with Finance / Operations / Sales / Marketing / IT Leaders to Identify High-Value AI Opportunities / Educate Business Stakeholders / Facilitate Solution Workshops / Drive Enterprise AI Adoption Enterprise AI Engineering / MLOps - Developing Predictive Models / LLM Applications Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem / Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric Ecosystems Supporting Enterprise AI Exploration / Production AI Delivery Enterprise AI Governance - Establishing Repeatable Engineering / Deployment / Governance Standards While Embedding Security / Explainability / Responsible AI Principles Throughout Solution Design/Production Delivery Enterprise AI Solution Consulting / Technical Leadership - Translating Ambiguous Business Problems into Enterprise AI Solutions While Presenting Technical Concepts to Executive Leadership, Mentoring Developers, Measuring ROI, and Expanding Organizational AI Capabilities About the Project: This project is focused on operationalizing the organization's investment in the Palantir AI Platform by building an enterprise AI capability that delivers measurable business value. The goal is to partner directly with business leaders to identify high-impact use cases, architect and deploy production-ready AI solutions, and establish the engineering, governance, and MLOps standards needed to scale AI across the enterprise. Rather than building isolated AI models or proof-of-concepts, you'll create a repeatable AI delivery framework that enables the organization to leverage AI securely, effectively, and across multiple business functions. JOB REQUIREMENTS Enterprise AI Software Development (7+ years) - Developing Production Enterprise Applications Using Python While Designing / Deploying AI / ML Solutions with PyTorch / TensorFlow / scikit-learn Palantir Exposure - Exposure to Palantir Foundry / AIP / Ontology or Similar Enterprise AI Platforms Ability to Learn Alongside Palantir Forward Deployed Engineers Enterprise LLM Development / MLOps - Designing RAG / Prompt Engineering / AI Agent / Copilot Solutions While Building Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Lifecycle Management Enterprise AI Cloud Platforms - Building Enterprise AI Solutions Across Azure AI Foundry / MS Fabric While Deploying Secure AI Workloads Across Azure / AWS / GCP Data Engineering Fundamentals - Understanding Data Ingestion / Transformation / Storage / Modeling Principles Supporting Production AI Solutions Business AI Consulting / Enablement - Identifying High-Value AI Opportunities / Educating Business Leaders / Explaining Complex AI Concepts / Driving Enterprise AI Adoption PREFERRED (not required) AI Governance - Implementing Enterprise AI Governance / Responsible AI Frameworks Supporting Secure / Compliant AI Solutions Enterprise AI Solutions - Supporting Analytics / Optimization / Decision Intelligence / AI Copilots / Intelligent Assistants / Enterprise Automation Initiatives Business Acumen / Enterprise Experience - Demonstrated Business / Financial Acumen Supporting AI Solutions Within Regulated / Operationally Complex / Enterprise-Scale Organizations Enterprise Environment Experience - Supporting Regulated / Operationally Complex / Enterprise-Scale Organizations Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here () . click apply for full job details
Senior Systems Engineer III - CICS Systems Programmer Overview We are seeking a Senior Systems Engineer III - CICS Systems Programmer to support the integrity, performance, configuration, documentation, and reliability of server operating systems, hardware, storage, and/or application software within an assigned area of responsibility. This role is well suited for someone with strong mainframe, systems programming, troubleshooting, documentation, audit, disaster recovery, and performance management experience. Primary Responsibilities Maintain and monitor usage, performance, and resources for assigned systems, hardware, storage, and/or application software. Troubleshoot day-to-day technical issues related to assigned systems and platforms. Develop, configure, customize, document, and modify system configurations. Support patching and version maintenance activities. Schedule testing and maintain documentation related to audit requirements and disaster recovery planning. Maintain technical documentation for assigned software, hardware management tools, and appliances. Participate in audit and disaster recovery practices and activities. Participate in root-cause problem analysis across technology and business areas as needed. Perform capacity planning and performance tuning activities for assigned areas of responsibility. Assist in developing entry-level personnel through mentoring, technical training, and related support. Required Qualifications Seven years of experience in one or more of the following areas: system administration on Windows, Unix, or another distributed platform; systems programming on a mainframe platform; storage management within a large SAN environment; software development; internal audit; or information security. In lieu of seven years of experience, a bachelor's degree and five years of experience in one or more of the same areas is acceptable. Experience demonstrating strong logical reasoning, problem-solving, and analytical skills. Ability to translate technical knowledge in a way that supports another person's understanding. Experience working with team members, team leads, end users, business partners, and management during day-to-day operations and project-based activities. Ability to help ensure software and hardware functionality, performance, and availability. Willingness to develop and train entry-level staff on operational and systems management tasks related to the area of expertise. Experience managing day-to-day operational workload and assigned projects within established deadlines and timeframes. Organizational skills to work with vendors and notify management and team members of pending patches, upgrades, and functionality enhancements. Experience maintaining and monitoring usage, performance, and resources while troubleshooting day-to-day issues. Strong written and verbal communication skills. Experience documenting initial system configuration, change management, audit, disaster recovery, and business continuity information while keeping required system documentation up to date. Preferred Qualifications Bachelor's degree in IT or a related field. Advanced-level certification in mainframe, Db2 database, network, UNIX/Linux, or storage designations in a systems engineering track. Experience leading mid-scale IT infrastructure projects. Experience working in an IBM z/OS mainframe environment. Knowledge of CICS architecture, internal interfaces, and resource management. CICS systems programming experience. SMP/E experience. CICSPlex configuration and management experience. Understanding of common mainframe utilities and programming languages such as COBOL, JCL, SQL, and REXX. Performance and capacity management experience using BMC tools. CICS application programming experience. Familiarity with other core mainframe products such as Db2 and MQ. BMC tools support experience, including installation, configuration, and maintenance. Automation development experience using languages and tools such as REXX, Python, YAML, and Ansible. Ideal Candidate Experienced in supporting complex systems environments with a focus on reliability, performance, and availability. Comfortable troubleshooting operational issues and participating in root-cause analysis. Strong documentation habits across configuration, change management, audit, disaster recovery, and business continuity activities. Able to work with both technical and non-technical stakeholders across day-to-day operations and project work. Interested in mentoring and helping entry-level staff grow technically. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law . click apply for full job details
09/24/2026
Full time
Senior Systems Engineer III - CICS Systems Programmer Overview We are seeking a Senior Systems Engineer III - CICS Systems Programmer to support the integrity, performance, configuration, documentation, and reliability of server operating systems, hardware, storage, and/or application software within an assigned area of responsibility. This role is well suited for someone with strong mainframe, systems programming, troubleshooting, documentation, audit, disaster recovery, and performance management experience. Primary Responsibilities Maintain and monitor usage, performance, and resources for assigned systems, hardware, storage, and/or application software. Troubleshoot day-to-day technical issues related to assigned systems and platforms. Develop, configure, customize, document, and modify system configurations. Support patching and version maintenance activities. Schedule testing and maintain documentation related to audit requirements and disaster recovery planning. Maintain technical documentation for assigned software, hardware management tools, and appliances. Participate in audit and disaster recovery practices and activities. Participate in root-cause problem analysis across technology and business areas as needed. Perform capacity planning and performance tuning activities for assigned areas of responsibility. Assist in developing entry-level personnel through mentoring, technical training, and related support. Required Qualifications Seven years of experience in one or more of the following areas: system administration on Windows, Unix, or another distributed platform; systems programming on a mainframe platform; storage management within a large SAN environment; software development; internal audit; or information security. In lieu of seven years of experience, a bachelor's degree and five years of experience in one or more of the same areas is acceptable. Experience demonstrating strong logical reasoning, problem-solving, and analytical skills. Ability to translate technical knowledge in a way that supports another person's understanding. Experience working with team members, team leads, end users, business partners, and management during day-to-day operations and project-based activities. Ability to help ensure software and hardware functionality, performance, and availability. Willingness to develop and train entry-level staff on operational and systems management tasks related to the area of expertise. Experience managing day-to-day operational workload and assigned projects within established deadlines and timeframes. Organizational skills to work with vendors and notify management and team members of pending patches, upgrades, and functionality enhancements. Experience maintaining and monitoring usage, performance, and resources while troubleshooting day-to-day issues. Strong written and verbal communication skills. Experience documenting initial system configuration, change management, audit, disaster recovery, and business continuity information while keeping required system documentation up to date. Preferred Qualifications Bachelor's degree in IT or a related field. Advanced-level certification in mainframe, Db2 database, network, UNIX/Linux, or storage designations in a systems engineering track. Experience leading mid-scale IT infrastructure projects. Experience working in an IBM z/OS mainframe environment. Knowledge of CICS architecture, internal interfaces, and resource management. CICS systems programming experience. SMP/E experience. CICSPlex configuration and management experience. Understanding of common mainframe utilities and programming languages such as COBOL, JCL, SQL, and REXX. Performance and capacity management experience using BMC tools. CICS application programming experience. Familiarity with other core mainframe products such as Db2 and MQ. BMC tools support experience, including installation, configuration, and maintenance. Automation development experience using languages and tools such as REXX, Python, YAML, and Ansible. Ideal Candidate Experienced in supporting complex systems environments with a focus on reliability, performance, and availability. Comfortable troubleshooting operational issues and participating in root-cause analysis. Strong documentation habits across configuration, change management, audit, disaster recovery, and business continuity activities. Able to work with both technical and non-technical stakeholders across day-to-day operations and project work. Interested in mentoring and helping entry-level staff grow technically. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law . click apply for full job details
Senior Network Engineer (Fortinet / Cisco) DETAILS Location: Irving, TX 75039 (hybrid 4days M-TH per week onsite) Position Type: Direct-Hire Hourly / Salary: to $150K (based on experience) JOB SUMMARY Vaco is currently seeking a Senior Network Engineer (Fortinet / Cisco) for a Direct-Hire opportunity that is located in Irving, TX 75039 (onsite 5-days per week). The Senior Network Engineer (Fortinet / Cisco) will primarily focus on supporting the integration of acquired companies into the established enterprise network configuration, including assessment, standardization, and migration activities across network and security environments. The Senior Network Engineer (Fortinet / Cisco) will manage and optimize a large-scale enterprise network and security infrastructure and will design, implement, maintain and troubleshoot LAN / WAN, wireless, and data center networks, while ensuring high availability, performance, and security. Additionally, the Senior Network Engineer (Fortinet / Cisco) will resolve escalated technical issues, mentor junior engineers, lead network projects, perform capacity planning, maintain comprehensive documentation, and drive continuous process and systems improvements. Enterprise Network / Security Operations - Managing Enterprise Network / Security Infrastructure Supporting Availability / Integrity / Stability / Performance Across Large-Scale Environments LAN / WAN / Wireless Networks / Routing / Switching Consistency / Routers / Firewalls / Switches / IP-Based Communication Systems Network Engineering / Administration - Designing / Implementing / Maintaining Enterprise Network Infrastructure Supporting Performance Monitoring / Bottleneck Resolution / Capacity Planning / Infrastructure Scalability / Global Connectivity / Operational Stability Technical Support / Operations - Resolving Escalated Network Issues Managing Monitoring / Alerting / Incident Activities / Enterprise Ticketing Processes / Operational Issue Resolution / Incident Documentation Providing Advanced Troubleshooting Support Security / Governance - Maintaining Security Controls (Firewalls / Access Controls / Intrusion Detection) Supporting Change Management / Operational Governance / Process Improvements / Enterprise Standards Alignment Infrastructure Delivery / Cross-Functional Collaboration - Managing Infrastructure Software / Hardware Initiatives / Technical Analytics / Reporting / Documentation / Knowledge Base Contributions Coordinating Cross-Functional Resources Supporting Technology Projects / Enterprise Implementations M&A Network Integration - Supporting Acquired Company Network Integration / Infrastructure Standardization / Migration Activities Aligning Legacy Environments to Enterprise Standards Documentation / Continuous Improvement - Developing Technical Documentation (Diagrams / Procedures / Configurations) Supporting Technology Modernization / Process Enhancements / Operational Visibility / Long-Term Infrastructure Scalability About the Project: The core mission is to lead the migration and standardization of a large, acquired network into an established enterprise "golden configuration." This involves assessing the acquired environment, performing gap analysis, designing migration strategies, and executing large-scale cutovers across Cisco (Nexus 7k/9k / Catalyst) and Fortinet (FortiGate / SD-WAN / FortiManager) environments while maintaining HA and security. This role will require a combination of deep technical expertise in Cisco Routing / Switching and Fortinet Security with strong integration leadership to consolidate hundreds of sites into one standardized, high-performing network. This is a high-impact role blending hands-on engineering, project leadership, and cross-team coordination during a critical growth phase, with the ultimate goal of unifying 2 large networks into one best-in-class enterprise infrastructure. JOB REQUIREMENTS Enterprise Network Engineering (9+ years) - Data Center Infrastructure (advanced) / Cisco / Fortinet Cisco Networking (9+ years hands-on) - Design / Configuration / Troubleshooting Cisco Nexus 7K/9K / Catalyst Routing/Switching Platforms Fortinet Security (5+ years) - Supporting FortiGate / FortiManager / FortiAnalyzer / Fortinet SD-WAN Routing / Network Architecture (deep expertise) - Across Routing Protocols (BGP / OSPF / EIGRP / Route Redistribution / Policy-Based Routing) M&A Network Integration - Network Integration / Consolidation / Standardization Initiatives Following Enterprise Mergers and Acquisitions Enterprise Network Transformation - Delivering Large-Scale Network Migrations into Standardized Enterprise "Golden Configuration" Models Preserving Availability / Reducing Operational Disruption Network Assessment / Migration Strategy - Conducting Network Assessments / Gap Analysis / Migration Planning / Roadmap Development for Acquired Enterprise Environments PREFERRED (not required) Fortinet Security Ecosystem (advanced) - FortiGate HA Clusters / Security Fabric / FortiSwitch / FortiAP / Integrated Security Components Network Access Control (NAC) - Implementing / Managing Cisco ISE for Enterprise Network Access Control / Policy Enforcement Enterprise Wireless Management - Supporting Ruckus Wireless Solutions for Large-Scale WiFi Infrastructure Network Monitoring / Observability - Utilizing SolarWinds for Network Monitoring / Performance Management / Reporting / Operational Visibility VPN / Secure Connectivity - Designing / Supporting Site-to-Site IPsec VPN / SSL VPN Solutions Enterprise-wide M&A Network Integration - Executing Large-Scale NW Integration / Post-Acquisition Consolidation Initiatives Network Standardization (Multi-Site) - Leading Multi-Site Network Standardization Across Distributed Enterprise Environments Ensuring Consistency and Compliance Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies . click apply for full job details
09/24/2026
Full time
Senior Network Engineer (Fortinet / Cisco) DETAILS Location: Irving, TX 75039 (hybrid 4days M-TH per week onsite) Position Type: Direct-Hire Hourly / Salary: to $150K (based on experience) JOB SUMMARY Vaco is currently seeking a Senior Network Engineer (Fortinet / Cisco) for a Direct-Hire opportunity that is located in Irving, TX 75039 (onsite 5-days per week). The Senior Network Engineer (Fortinet / Cisco) will primarily focus on supporting the integration of acquired companies into the established enterprise network configuration, including assessment, standardization, and migration activities across network and security environments. The Senior Network Engineer (Fortinet / Cisco) will manage and optimize a large-scale enterprise network and security infrastructure and will design, implement, maintain and troubleshoot LAN / WAN, wireless, and data center networks, while ensuring high availability, performance, and security. Additionally, the Senior Network Engineer (Fortinet / Cisco) will resolve escalated technical issues, mentor junior engineers, lead network projects, perform capacity planning, maintain comprehensive documentation, and drive continuous process and systems improvements. Enterprise Network / Security Operations - Managing Enterprise Network / Security Infrastructure Supporting Availability / Integrity / Stability / Performance Across Large-Scale Environments LAN / WAN / Wireless Networks / Routing / Switching Consistency / Routers / Firewalls / Switches / IP-Based Communication Systems Network Engineering / Administration - Designing / Implementing / Maintaining Enterprise Network Infrastructure Supporting Performance Monitoring / Bottleneck Resolution / Capacity Planning / Infrastructure Scalability / Global Connectivity / Operational Stability Technical Support / Operations - Resolving Escalated Network Issues Managing Monitoring / Alerting / Incident Activities / Enterprise Ticketing Processes / Operational Issue Resolution / Incident Documentation Providing Advanced Troubleshooting Support Security / Governance - Maintaining Security Controls (Firewalls / Access Controls / Intrusion Detection) Supporting Change Management / Operational Governance / Process Improvements / Enterprise Standards Alignment Infrastructure Delivery / Cross-Functional Collaboration - Managing Infrastructure Software / Hardware Initiatives / Technical Analytics / Reporting / Documentation / Knowledge Base Contributions Coordinating Cross-Functional Resources Supporting Technology Projects / Enterprise Implementations M&A Network Integration - Supporting Acquired Company Network Integration / Infrastructure Standardization / Migration Activities Aligning Legacy Environments to Enterprise Standards Documentation / Continuous Improvement - Developing Technical Documentation (Diagrams / Procedures / Configurations) Supporting Technology Modernization / Process Enhancements / Operational Visibility / Long-Term Infrastructure Scalability About the Project: The core mission is to lead the migration and standardization of a large, acquired network into an established enterprise "golden configuration." This involves assessing the acquired environment, performing gap analysis, designing migration strategies, and executing large-scale cutovers across Cisco (Nexus 7k/9k / Catalyst) and Fortinet (FortiGate / SD-WAN / FortiManager) environments while maintaining HA and security. This role will require a combination of deep technical expertise in Cisco Routing / Switching and Fortinet Security with strong integration leadership to consolidate hundreds of sites into one standardized, high-performing network. This is a high-impact role blending hands-on engineering, project leadership, and cross-team coordination during a critical growth phase, with the ultimate goal of unifying 2 large networks into one best-in-class enterprise infrastructure. JOB REQUIREMENTS Enterprise Network Engineering (9+ years) - Data Center Infrastructure (advanced) / Cisco / Fortinet Cisco Networking (9+ years hands-on) - Design / Configuration / Troubleshooting Cisco Nexus 7K/9K / Catalyst Routing/Switching Platforms Fortinet Security (5+ years) - Supporting FortiGate / FortiManager / FortiAnalyzer / Fortinet SD-WAN Routing / Network Architecture (deep expertise) - Across Routing Protocols (BGP / OSPF / EIGRP / Route Redistribution / Policy-Based Routing) M&A Network Integration - Network Integration / Consolidation / Standardization Initiatives Following Enterprise Mergers and Acquisitions Enterprise Network Transformation - Delivering Large-Scale Network Migrations into Standardized Enterprise "Golden Configuration" Models Preserving Availability / Reducing Operational Disruption Network Assessment / Migration Strategy - Conducting Network Assessments / Gap Analysis / Migration Planning / Roadmap Development for Acquired Enterprise Environments PREFERRED (not required) Fortinet Security Ecosystem (advanced) - FortiGate HA Clusters / Security Fabric / FortiSwitch / FortiAP / Integrated Security Components Network Access Control (NAC) - Implementing / Managing Cisco ISE for Enterprise Network Access Control / Policy Enforcement Enterprise Wireless Management - Supporting Ruckus Wireless Solutions for Large-Scale WiFi Infrastructure Network Monitoring / Observability - Utilizing SolarWinds for Network Monitoring / Performance Management / Reporting / Operational Visibility VPN / Secure Connectivity - Designing / Supporting Site-to-Site IPsec VPN / SSL VPN Solutions Enterprise-wide M&A Network Integration - Executing Large-Scale NW Integration / Post-Acquisition Consolidation Initiatives Network Standardization (Multi-Site) - Leading Multi-Site Network Standardization Across Distributed Enterprise Environments Ensuring Consistency and Compliance Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies . click apply for full job details
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
09/24/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
Job Description Job Description Purpose Information technology is foundational to how Citadel Aviation operates at every site, from the systems that move work across the hangar floor and the shops to the platforms that support administrative staff. Secure, reliable network and identity infrastructure enable Citadel to operate without interruption, protect its work and its people, and meet its obligations to customers and partners. This role owns the design, operation, and security of Citadel's network and identity infrastructure across every Citadel site: reliable connectivity, a hardened identity platform, and a security posture that scales with the business. The role serves as Citadel's internal technical counterpart to the company's security SOC and managed detection and response (MDR) provider, partners with IT leadership and peers across IT and the business, owns assigned IT projects, and is accountable for the reliability of the network and the strength of the security posture across every site. Environment The technology stack includes Palo Alto next-generation firewalls, Cisco switching, Meraki wireless, Microsoft 365 with Entra ID for identity, Microsoft Defender for Endpoint and Intune for endpoint security and management, Tenable for vulnerability management, and KnowBe4 for security awareness. Security operations are delivered in partnership with an external SOC and MDR provider. Essential Job Functions Own the design, operation, and security of Citadel's network infrastructure across all sites. Maintain firewalls, switching, wireless, ISP connectivity, and backup connectivity. Design and implement upgrades to support growth, lead network design and turn-up for new Citadel facilities, and maintain secure connectivity between sites, between sites and the cloud, and for remote users. Own the design, operation, and security of Citadel's voice and unified communications infrastructure, including the company's calling system, VOIP infrastructure, and integration with Microsoft 365 communications. Maintain consistent network and security service quality across all Citadel sites. Travel between sites is heavier during the initial standardization phase across existing sites and during turn-up of new sites, and lighter once the environment reaches steady state. Perform in line with established KPIs and service-level targets, including network availability, security patch SLA, mean time to remediate vulnerabilities, mean time to respond to security incidents, and related measures. Track and report performance regularly to IT leadership. Serve as the internal technical counterpart to the company's security SOC and MDR provider, who operate detection, monitoring, and response. Partner closely on detection tuning, alert triage, investigation, and remediation. Own endpoint security policy across the Microsoft 365 platform, including Microsoft Defender for Endpoint configuration, conditional access, identity hardening, and Intune security baselines. Partner with the IT manager and the support team on day-to-day operation and enforcement. Own technical email security controls, including anti-phishing, anti-malware, secure transport, and tenant security configuration. Partner with the IT manager on user-facing reporting and response workflows. Run Citadel's vulnerability management process in partnership with the MDR provider. Operate scanning tooling, prioritize findings, and drive remediation across the IT organization. Own identity and access management hardening, including multi-factor authentication, conditional access policy, privileged access controls, and account lifecycle hygiene. Set program direction and content for Citadel's cybersecurity awareness program, including training plans, phishing simulation strategy, and ongoing user education topics. Partner with the IT manager, who runs the user-facing activities and reporting. Conduct third-party security review of new vendors, software platforms, and integrations before they enter the environment. Assess data handling, integration security, and ongoing risk; track approval and remediation. Coordinate Citadel's response to external security assessments, including penetration testing, cyber insurance reviews, customer security questionnaires, and regulatory inquiries. Scope engagements, work with vendors, maintain evidence, and track remediation. Deliver assigned IT projects within networking and security, and contribute to broader IT initiatives. Coordinate with IT leadership and peers, and engage external specialists and contractors as needed. Partner with IT leadership and peers in infrastructure, support, and software development on initiatives originating in those service lines. Contribute network and security expertise to keep delivery on track. Own vendor relationships within the network and security portfolio, including ISPs, network hardware, security tooling, and specialized contractors. Take on broader IT vendor relationships as assigned. Own the network and security operating budget, with broader budget scope as assigned. Track expenses, project upcoming needs, and provide input on annual IT budget planning. Own the on-call rotation for network and security incidents. Drive diagnosis, coordinate internal and external resources, and engage directly in resolution. Own incident communication for network and security events. Notify IT leadership and impacted business stakeholders, provide regular status updates throughout an incident, and deliver post-incident summaries with root cause and follow-up actions. Conduct periodic internal security audits across user access, identity hygiene, configuration baselines, vulnerability posture, and policy adherence. Remediate findings in partnership with the IT manager. Maintain and enforce IT network and security policies, procedures, runbooks, technical documentation, and asset inventory. Contribute to the creation and modification of policies as needed. Identify and propose improvements in network design, security posture, monitoring coverage, and tool consolidation. Deliver approved initiatives. Non-Essential Functions Running cables and installing hardware. Other duties as assigned. Minimum Qualifications or Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Network Engineering, or a related technical discipline. Equivalent professional experience considered in lieu of degree. 5+ years of progressive experience in enterprise network engineering and information security. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Experience operating in partnership with a managed detection and response (MDR) provider or security operations center (SOC). Experience with vulnerability management, including scanning tooling (Tenable Nessus or comparable), prioritization, and driving remediation across an organization. Experience operating in an environment with regular external security assessments (penetration testing, cyber insurance reviews, customer security audits) and remediating findings under deadline. Experience supporting multi-site operations or production environments where uptime, security, and consistency of service are operational requirements. Experience delivering IT projects from scope through completion, including scheduling, vendor coordination, and budget tracking. Demonstrated ability to communicate technical concepts clearly to non-technical business stakeholders and to senior leadership. Demonstrated experience adhering to and enforcing security best practices across network, endpoint, and identity domains. Preferred Qualifications or Experience Experience in aviation, aerospace, manufacturing, MRO, or other regulated operational environments. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Active IT industry certifications such as CompTIA Security+ or Network+, Cisco CCNA / CCNP, Palo Alto PCNSA / PCNSE, Microsoft Security or Identity certifications, CISSP, GIAC, or comparable. Experience designing and bringing up network infrastructure at new sites or facilities. Experience with SD-WAN, zero-trust architecture, network segmentation, or related modern network design patterns. Familiarity with security frameworks (NIST, CIS) and audit or compliance work. Experience with security awareness platforms (KnowBe4 or comparable). Experience administering identity and access controls in a hybrid or cloud-first environment. Experience with VOIP or unified communications infrastructure. Supervisory Responsibilities This position has no direct reports. Coordinates day-to-day with external network and security contractors, managed-service providers, and the company's SOC and MDR partner. Provides technical guidance and security expertise to IT team peers and to business stakeholders as needed. Knowledge, Skills, and Other Attributes Deep technical expertise across enterprise networking (firewalls, switching, wireless, routing) and information security (endpoint, identity, vulnerability management, security monitoring). . click apply for full job details
09/24/2026
Full time
Job Description Job Description Purpose Information technology is foundational to how Citadel Aviation operates at every site, from the systems that move work across the hangar floor and the shops to the platforms that support administrative staff. Secure, reliable network and identity infrastructure enable Citadel to operate without interruption, protect its work and its people, and meet its obligations to customers and partners. This role owns the design, operation, and security of Citadel's network and identity infrastructure across every Citadel site: reliable connectivity, a hardened identity platform, and a security posture that scales with the business. The role serves as Citadel's internal technical counterpart to the company's security SOC and managed detection and response (MDR) provider, partners with IT leadership and peers across IT and the business, owns assigned IT projects, and is accountable for the reliability of the network and the strength of the security posture across every site. Environment The technology stack includes Palo Alto next-generation firewalls, Cisco switching, Meraki wireless, Microsoft 365 with Entra ID for identity, Microsoft Defender for Endpoint and Intune for endpoint security and management, Tenable for vulnerability management, and KnowBe4 for security awareness. Security operations are delivered in partnership with an external SOC and MDR provider. Essential Job Functions Own the design, operation, and security of Citadel's network infrastructure across all sites. Maintain firewalls, switching, wireless, ISP connectivity, and backup connectivity. Design and implement upgrades to support growth, lead network design and turn-up for new Citadel facilities, and maintain secure connectivity between sites, between sites and the cloud, and for remote users. Own the design, operation, and security of Citadel's voice and unified communications infrastructure, including the company's calling system, VOIP infrastructure, and integration with Microsoft 365 communications. Maintain consistent network and security service quality across all Citadel sites. Travel between sites is heavier during the initial standardization phase across existing sites and during turn-up of new sites, and lighter once the environment reaches steady state. Perform in line with established KPIs and service-level targets, including network availability, security patch SLA, mean time to remediate vulnerabilities, mean time to respond to security incidents, and related measures. Track and report performance regularly to IT leadership. Serve as the internal technical counterpart to the company's security SOC and MDR provider, who operate detection, monitoring, and response. Partner closely on detection tuning, alert triage, investigation, and remediation. Own endpoint security policy across the Microsoft 365 platform, including Microsoft Defender for Endpoint configuration, conditional access, identity hardening, and Intune security baselines. Partner with the IT manager and the support team on day-to-day operation and enforcement. Own technical email security controls, including anti-phishing, anti-malware, secure transport, and tenant security configuration. Partner with the IT manager on user-facing reporting and response workflows. Run Citadel's vulnerability management process in partnership with the MDR provider. Operate scanning tooling, prioritize findings, and drive remediation across the IT organization. Own identity and access management hardening, including multi-factor authentication, conditional access policy, privileged access controls, and account lifecycle hygiene. Set program direction and content for Citadel's cybersecurity awareness program, including training plans, phishing simulation strategy, and ongoing user education topics. Partner with the IT manager, who runs the user-facing activities and reporting. Conduct third-party security review of new vendors, software platforms, and integrations before they enter the environment. Assess data handling, integration security, and ongoing risk; track approval and remediation. Coordinate Citadel's response to external security assessments, including penetration testing, cyber insurance reviews, customer security questionnaires, and regulatory inquiries. Scope engagements, work with vendors, maintain evidence, and track remediation. Deliver assigned IT projects within networking and security, and contribute to broader IT initiatives. Coordinate with IT leadership and peers, and engage external specialists and contractors as needed. Partner with IT leadership and peers in infrastructure, support, and software development on initiatives originating in those service lines. Contribute network and security expertise to keep delivery on track. Own vendor relationships within the network and security portfolio, including ISPs, network hardware, security tooling, and specialized contractors. Take on broader IT vendor relationships as assigned. Own the network and security operating budget, with broader budget scope as assigned. Track expenses, project upcoming needs, and provide input on annual IT budget planning. Own the on-call rotation for network and security incidents. Drive diagnosis, coordinate internal and external resources, and engage directly in resolution. Own incident communication for network and security events. Notify IT leadership and impacted business stakeholders, provide regular status updates throughout an incident, and deliver post-incident summaries with root cause and follow-up actions. Conduct periodic internal security audits across user access, identity hygiene, configuration baselines, vulnerability posture, and policy adherence. Remediate findings in partnership with the IT manager. Maintain and enforce IT network and security policies, procedures, runbooks, technical documentation, and asset inventory. Contribute to the creation and modification of policies as needed. Identify and propose improvements in network design, security posture, monitoring coverage, and tool consolidation. Deliver approved initiatives. Non-Essential Functions Running cables and installing hardware. Other duties as assigned. Minimum Qualifications or Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Network Engineering, or a related technical discipline. Equivalent professional experience considered in lieu of degree. 5+ years of progressive experience in enterprise network engineering and information security. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Experience operating in partnership with a managed detection and response (MDR) provider or security operations center (SOC). Experience with vulnerability management, including scanning tooling (Tenable Nessus or comparable), prioritization, and driving remediation across an organization. Experience operating in an environment with regular external security assessments (penetration testing, cyber insurance reviews, customer security audits) and remediating findings under deadline. Experience supporting multi-site operations or production environments where uptime, security, and consistency of service are operational requirements. Experience delivering IT projects from scope through completion, including scheduling, vendor coordination, and budget tracking. Demonstrated ability to communicate technical concepts clearly to non-technical business stakeholders and to senior leadership. Demonstrated experience adhering to and enforcing security best practices across network, endpoint, and identity domains. Preferred Qualifications or Experience Experience in aviation, aerospace, manufacturing, MRO, or other regulated operational environments. Hands-on experience with endpoint security platforms, including Microsoft Defender for Endpoint and modern identity and access management (Microsoft Entra ID, conditional access, multi-factor authentication). Active IT industry certifications such as CompTIA Security+ or Network+, Cisco CCNA / CCNP, Palo Alto PCNSA / PCNSE, Microsoft Security or Identity certifications, CISSP, GIAC, or comparable. Experience designing and bringing up network infrastructure at new sites or facilities. Experience with SD-WAN, zero-trust architecture, network segmentation, or related modern network design patterns. Familiarity with security frameworks (NIST, CIS) and audit or compliance work. Experience with security awareness platforms (KnowBe4 or comparable). Experience administering identity and access controls in a hybrid or cloud-first environment. Experience with VOIP or unified communications infrastructure. Supervisory Responsibilities This position has no direct reports. Coordinates day-to-day with external network and security contractors, managed-service providers, and the company's SOC and MDR partner. Provides technical guidance and security expertise to IT team peers and to business stakeholders as needed. Knowledge, Skills, and Other Attributes Deep technical expertise across enterprise networking (firewalls, switching, wireless, routing) and information security (endpoint, identity, vulnerability management, security monitoring). . click apply for full job details
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/24/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
09/24/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
09/24/2026
Full time
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
09/24/2026
Full time
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
09/24/2026
Full time
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sr. Automation Engineer - JLL What this job involves: We are seeking a Senior Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. This role requires expertise in engineering principles, programming, and control system technologies, with a focus on maximizing the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and lead the site's automation engineering program. Set program goals, delegate work, and mentor Automation Engineers and Apprentices to meet client objectives and safety/technical requirements. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot automation equipment, including PLC/PC controllers and industrial networks. Govern all automation documentation and change management processes for the site. Collaborate with operations, engineering, and support teams to optimize material handling systems and deliver projects. Provide advanced troubleshooting and escalation support, including remote assistance, root cause analysis, and vendor coordination. Monitor system performance, drive continuous improvement projects, and communicate technical issues, timelines, and workarounds to stakeholders. Required Qualifications: Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, OR 3+ years equivalent professional experience. 5+ years of PLC-controlled automation experience, including Ladder Logic and structured programming (Siemens, Allen-Bradley, or Codesys) and issue diagnosis in production environments. 2+ years with robotics work cells, control systems, electrical theory, controls components, and automated equipment. Leadership experience in directing, training, and mentoring automation engineers. Proficiency in CMMS use, troubleshooting, and coordinating maintenance with multiple stakeholders. Strong communication skills, policy interpretation, and continuous improvement mindset. Ability to adapt to evolving technologies and build scalable automation solutions. Preferred Qualifications: Advanced degree in relevant field plus 5+ years professional experience. 5+ years in PLC programming, troubleshooting, and modification, as well as HMI and control networks, SCADA systems, and motor control systems (VFDs, DC drives, starters). Industrial electrical experience with 480V 3-phase, 110 VAC, 24VDC, and reading/modifying mechanical and electrical drawings. Proficiency in programming tools such as RSLogix5000 Studio, FT View, and other control software; controls design and systems integration experience. Field service engineering and technical training experience, including conveyors, sortation, ASRS, and industrial robotics. Proven ability in remote technical support and driving continuous improvement in automated systems. Experience with advanced automation control systems and programmatic solutions for equipment optimization. At JLL, we work together to create a brighter future for our clients, colleagues, and communities. Our collaborative culture-locally and globally-drives innovative solutions. We value wellbeing, inclusivity, and belonging, ensuring every team member feels supported. JLL is proud to be an Equal Opportunity Employer committed to diversity and inclusion. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 110 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Monee, IL Job Tags: RME If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
09/24/2026
Full time
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sr. Automation Engineer - JLL What this job involves: We are seeking a Senior Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. This role requires expertise in engineering principles, programming, and control system technologies, with a focus on maximizing the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and lead the site's automation engineering program. Set program goals, delegate work, and mentor Automation Engineers and Apprentices to meet client objectives and safety/technical requirements. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot automation equipment, including PLC/PC controllers and industrial networks. Govern all automation documentation and change management processes for the site. Collaborate with operations, engineering, and support teams to optimize material handling systems and deliver projects. Provide advanced troubleshooting and escalation support, including remote assistance, root cause analysis, and vendor coordination. Monitor system performance, drive continuous improvement projects, and communicate technical issues, timelines, and workarounds to stakeholders. Required Qualifications: Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, OR 3+ years equivalent professional experience. 5+ years of PLC-controlled automation experience, including Ladder Logic and structured programming (Siemens, Allen-Bradley, or Codesys) and issue diagnosis in production environments. 2+ years with robotics work cells, control systems, electrical theory, controls components, and automated equipment. Leadership experience in directing, training, and mentoring automation engineers. Proficiency in CMMS use, troubleshooting, and coordinating maintenance with multiple stakeholders. Strong communication skills, policy interpretation, and continuous improvement mindset. Ability to adapt to evolving technologies and build scalable automation solutions. Preferred Qualifications: Advanced degree in relevant field plus 5+ years professional experience. 5+ years in PLC programming, troubleshooting, and modification, as well as HMI and control networks, SCADA systems, and motor control systems (VFDs, DC drives, starters). Industrial electrical experience with 480V 3-phase, 110 VAC, 24VDC, and reading/modifying mechanical and electrical drawings. Proficiency in programming tools such as RSLogix5000 Studio, FT View, and other control software; controls design and systems integration experience. Field service engineering and technical training experience, including conveyors, sortation, ASRS, and industrial robotics. Proven ability in remote technical support and driving continuous improvement in automated systems. Experience with advanced automation control systems and programmatic solutions for equipment optimization. At JLL, we work together to create a brighter future for our clients, colleagues, and communities. Our collaborative culture-locally and globally-drives innovative solutions. We value wellbeing, inclusivity, and belonging, ensuring every team member feels supported. JLL is proud to be an Equal Opportunity Employer committed to diversity and inclusion. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 110 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Monee, IL Job Tags: RME If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/24/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
