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 ML Platform 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 Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture 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 engineering solutions, 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 software 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 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 application layers - from feature scoping through implementation. 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). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and 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. 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. 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 Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. 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 $175,000-$325,000 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 the most important business processes at the world's largest organizations . click apply for full job details
11/10/2026
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 ML Platform 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 Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture 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 engineering solutions, 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 software 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 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 application layers - from feature scoping through implementation. 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). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and 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. 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. 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 Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. 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 $175,000-$325,000 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 the most important business processes at the world's largest organizations . click apply for full job details
Job Description Job Description Mandatory Skills .Net, C#, ASP.NET, Angular We are looking for an experienced Technical Architect with strong expertise in .NET, C#, ASP.NET, and Angular to design and lead scalable, secure, and high-performance enterprise applications. The role involves architectural ownership, technical leadership, and close collaboration with business and development teams. Key Responsibilities Define and own end-to-end application architecture for enterprise solutions using .NET and Angular Design scalable, secure, and high-availability systems aligned with business requirements Lead architecture reviews, design discussions, and code reviews Provide technical leadership to development teams and mentor senior/junior engineers Establish and enforce coding standards, architectural guidelines, and best practices Design and implement RESTful APIs, integrations, and microservices Collaborate with business stakeholders to translate requirements into technical solutions Ensure application security, performance, and compliance standards are met Support DevOps, CI/CD pipelines, and cloud-ready architectures when applicable Technical Skills (Mandatory) Backend: C#, .NET Framework / .NET Core / .NET 6 ASP.NET MVC, ASP.NET Web API Entity Framework / LINQ Frontend: Angular (Angular 10 ) TypeScript, JavaScript, HTML5, CSS3 Architecture & Design: Microservices architecture SOLID principles, design patterns N-tier and component-based architecture Databases: SQL Server (design, performance tuning, optimization) Integration: REST APIs, JSON, OAuth/JWT authentication Good to Have Cloud experience (Azure preferred - App Services, Functions, Storage, Key Vault) CI/CD tools (Azure DevOps, Git, Jenkins) Containerization (Docker, Kubernetes - basic understanding) Experience in Agile / Scrum environments Soft Skills Strong communication and stakeholder management skills Ability to translate business problems into technical solutions Leadership and mentoring capabilities Strong problem-solving and decision-making mindset
11/10/2026
Full time
Job Description Job Description Mandatory Skills .Net, C#, ASP.NET, Angular We are looking for an experienced Technical Architect with strong expertise in .NET, C#, ASP.NET, and Angular to design and lead scalable, secure, and high-performance enterprise applications. The role involves architectural ownership, technical leadership, and close collaboration with business and development teams. Key Responsibilities Define and own end-to-end application architecture for enterprise solutions using .NET and Angular Design scalable, secure, and high-availability systems aligned with business requirements Lead architecture reviews, design discussions, and code reviews Provide technical leadership to development teams and mentor senior/junior engineers Establish and enforce coding standards, architectural guidelines, and best practices Design and implement RESTful APIs, integrations, and microservices Collaborate with business stakeholders to translate requirements into technical solutions Ensure application security, performance, and compliance standards are met Support DevOps, CI/CD pipelines, and cloud-ready architectures when applicable Technical Skills (Mandatory) Backend: C#, .NET Framework / .NET Core / .NET 6 ASP.NET MVC, ASP.NET Web API Entity Framework / LINQ Frontend: Angular (Angular 10 ) TypeScript, JavaScript, HTML5, CSS3 Architecture & Design: Microservices architecture SOLID principles, design patterns N-tier and component-based architecture Databases: SQL Server (design, performance tuning, optimization) Integration: REST APIs, JSON, OAuth/JWT authentication Good to Have Cloud experience (Azure preferred - App Services, Functions, Storage, Key Vault) CI/CD tools (Azure DevOps, Git, Jenkins) Containerization (Docker, Kubernetes - basic understanding) Experience in Agile / Scrum environments Soft Skills Strong communication and stakeholder management skills Ability to translate business problems into technical solutions Leadership and mentoring capabilities Strong problem-solving and decision-making mindset
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
11/09/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI41a9ba4ffd4d-3112
11/09/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI41a9ba4ffd4d-3112
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Job Description Job Description: Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today. We're looking for people who want to build, solve, and operate at that level. Join us and let's shape the future of data.Job Description The Senior Systems Architect is a senior technical leader responsible for the architecture, engineering, standardization, and evolution of enterprise compute and infrastructure platforms. This role requires broad hands-on expertise across enterprise virtualization, Windows and Linux, server infrastructure, automation, containers, and compute integration with storage and networking. The successful candidate will be equally comfortable developing architecture strategy, evaluating new technologies, creating automation, and troubleshooting complex production issues. A primary objective of the role is transforming infrastructure operations from manual administration into standardized, automated, policy-driven platform services. The architect will establish technical standards, lead modernization efforts, reduce operational complexity, and improve reliability, scalability, security, and cost efficiency. The role works closely with Data Center Operations, Storage Architecture, Network Engineering, Security, Cloud Engineering, Application teams, Manufacturing, and technology vendors. Key Responsibilities Infrastructure Architecture & Engineering Serve as a senior technical authority for enterprise compute, virtualization, Windows, Linux, container, and server infrastructure. Develop architecture standards and reference designs for scalable, resilient, secure, and supportable infrastructure. Architect virtualization and compute solutions across platforms such as Hyper-V, VMware, Nutanix AHV/KVM, and emerging technologies. Define standards for operating system deployment, configuration, lifecycle management, patching, upgrades, security, high availability, disaster recovery, capacity, and performance. Establish enterprise server hardware standards covering compute, memory, accelerators, firmware, network interfaces, power, cooling, and lifecycle management. Evaluate new infrastructure technologies through technical assessments, proof-of-concepts, benchmarking, and total-cost-of-ownership analysis. Lead complex troubleshooting and root-cause analysis across compute, virtualization, operating systems, storage, networking, and application dependencies. Drive platform modernization, consolidation, migration, technology refresh, and infrastructure lifecycle initiatives. Automation, AI & Platform Engineering Lead infrastructure automation and platform-engineering strategy across compute and related data center technologies. Identify repetitive operational activities and replace them with standardized, automated, policy-driven workflows. Develop automation using technologies such as PowerShell, Python, Ansible, Terraform, APIs, Git, and CI/CD platforms. Apply Infrastructure as Code and software-engineering practices including source control, reusable modules, peer review, testing, release management, and automated validation. Automate provisioning, configuration, patching, upgrades, firmware, compliance, vulnerability remediation, monitoring integration, and infrastructure retirement. Integrate automation with enterprise systems including ITSM, CMDB, observability, security, vulnerability management, and asset management. Develop self-service and API-driven infrastructure capabilities that reduce manual administrative work. Evaluate and responsibly apply AI, AI agents, and agentic automation to infrastructure engineering, operations, troubleshooting, documentation, and analysis. Infrastructure Integration Partner with the Principal Storage Architect to ensure compute and virtualization platforms integrate effectively with enterprise storage. Define compute-side requirements for storage connectivity, availability, capacity, performance, resiliency, and interoperability. Own architecture and standards for server and hypervisor networking, including host connectivity, NIC configuration, virtual networking, resiliency, performance, and storage-related network traffic. Partner with Network Engineering on physical connectivity, VLANs, routing, addressing, network fabrics, and data center network integration. Maintain clear ownership boundaries: this role owns server and hypervisor networking; enterprise switching, routing, firewall, and network architecture remain with Network Engineering. Work with infrastructure vendors on technology roadmaps, platform supportability, lifecycle planning, technical escalations, and architecture evaluations. Technical Leadership Develop and maintain architecture standards, reference architectures, technology roadmaps, design documentation, and architecture decisions. Establish standards for infrastructure reliability, security, observability, lifecycle management, automation, and supportability. Evaluate technologies based on scalability, performance, reliability, security, operational complexity, automation potential, and total cost of ownership. Partner with Security teams on infrastructure hardening, vulnerability management, compliance, and Zero Trust requirements. Present technical strategies, risks, tradeoffs, and investment recommendations to engineering and executive leadership. Serve as a senior escalation resource and mentor engineers across the infrastructure organization. Lead cross-functional technical initiatives and drive consensus across organizations without requiring direct authority. Qualifications 12+ years of progressive enterprise infrastructure engineering, architecture, or closely related experience, including substantial hands-on responsibility for production environments. Demonstrated experience designing and supporting large-scale, business-critical enterprise infrastructure. Deep experience with one or more enterprise virtualization platforms such as Hyper-V, VMware, Nutanix AHV, KVM, or comparable technologies, with the ability to rapidly learn additional platforms. Strong enterprise experience with Windows Server and Linux. Experience with container technologies and orchestration platforms such as Docker, Kubernetes, OpenShift, or comparable platforms. Significant experience with enterprise server platforms such as HPE, Dell, or comparable technologies. Strong understanding of storage and networking sufficient to design and troubleshoot compute integration with those technologies. Demonstrated infrastructure automation experience using PowerShell, Python, Ansible, Terraform, APIs, or comparable technologies. Experience applying Infrastructure as Code, source control, CI/CD, configuration management, or similar software-engineering practices to infrastructure. Proven ability to troubleshoot complex issues across multiple infrastructure domains. Demonstrated ability to create technical standards and translate architecture into successful production implementations. Preferred Experience Experience in several of the following areas is beneficial; candidates are not expected to have expertise in all of them: Nutanix, KVM, HCI, or software-defined infrastructure Kubernetes or enterprise container platforms Azure Arc, Azure Local, or hybrid infrastructure GitOps, Infrastructure as Code, and CI/CD AI-assisted engineering and agentic automation Enterprise monitoring and observability ITSM, CMDB, security, and vulnerability-management integration Redfish, REST APIs, and hardware-management automation Data center infrastructure management Large-scale platform migrations and technology refresh programs Manufacturing, semiconductor, high-performance engineering, or similarly complex environments Key Competencies Deep technical curiosity and the ability to rapidly learn unfamiliar technologies. Comfortable moving between strategic architecture and hands-on technical investigation. Strong bias toward automation, standardization, simplification, and elimination of repetitive work. Strong analytical approach to reliability, performance, scalability, security, supportability, and cost. Ability to communicate complex technical concepts to both engineering and executive audiences. Ability to work across organizational boundaries and influence technical direction without direct authority. Strong mentoring skills and a desire to raise the technical capability of the broader organization. Willingness to challenge established assumptions using data, testing, and engineering analysis. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status . click apply for full job details
11/09/2026
Full time
Job Description Job Description: Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today. We're looking for people who want to build, solve, and operate at that level. Join us and let's shape the future of data.Job Description The Senior Systems Architect is a senior technical leader responsible for the architecture, engineering, standardization, and evolution of enterprise compute and infrastructure platforms. This role requires broad hands-on expertise across enterprise virtualization, Windows and Linux, server infrastructure, automation, containers, and compute integration with storage and networking. The successful candidate will be equally comfortable developing architecture strategy, evaluating new technologies, creating automation, and troubleshooting complex production issues. A primary objective of the role is transforming infrastructure operations from manual administration into standardized, automated, policy-driven platform services. The architect will establish technical standards, lead modernization efforts, reduce operational complexity, and improve reliability, scalability, security, and cost efficiency. The role works closely with Data Center Operations, Storage Architecture, Network Engineering, Security, Cloud Engineering, Application teams, Manufacturing, and technology vendors. Key Responsibilities Infrastructure Architecture & Engineering Serve as a senior technical authority for enterprise compute, virtualization, Windows, Linux, container, and server infrastructure. Develop architecture standards and reference designs for scalable, resilient, secure, and supportable infrastructure. Architect virtualization and compute solutions across platforms such as Hyper-V, VMware, Nutanix AHV/KVM, and emerging technologies. Define standards for operating system deployment, configuration, lifecycle management, patching, upgrades, security, high availability, disaster recovery, capacity, and performance. Establish enterprise server hardware standards covering compute, memory, accelerators, firmware, network interfaces, power, cooling, and lifecycle management. Evaluate new infrastructure technologies through technical assessments, proof-of-concepts, benchmarking, and total-cost-of-ownership analysis. Lead complex troubleshooting and root-cause analysis across compute, virtualization, operating systems, storage, networking, and application dependencies. Drive platform modernization, consolidation, migration, technology refresh, and infrastructure lifecycle initiatives. Automation, AI & Platform Engineering Lead infrastructure automation and platform-engineering strategy across compute and related data center technologies. Identify repetitive operational activities and replace them with standardized, automated, policy-driven workflows. Develop automation using technologies such as PowerShell, Python, Ansible, Terraform, APIs, Git, and CI/CD platforms. Apply Infrastructure as Code and software-engineering practices including source control, reusable modules, peer review, testing, release management, and automated validation. Automate provisioning, configuration, patching, upgrades, firmware, compliance, vulnerability remediation, monitoring integration, and infrastructure retirement. Integrate automation with enterprise systems including ITSM, CMDB, observability, security, vulnerability management, and asset management. Develop self-service and API-driven infrastructure capabilities that reduce manual administrative work. Evaluate and responsibly apply AI, AI agents, and agentic automation to infrastructure engineering, operations, troubleshooting, documentation, and analysis. Infrastructure Integration Partner with the Principal Storage Architect to ensure compute and virtualization platforms integrate effectively with enterprise storage. Define compute-side requirements for storage connectivity, availability, capacity, performance, resiliency, and interoperability. Own architecture and standards for server and hypervisor networking, including host connectivity, NIC configuration, virtual networking, resiliency, performance, and storage-related network traffic. Partner with Network Engineering on physical connectivity, VLANs, routing, addressing, network fabrics, and data center network integration. Maintain clear ownership boundaries: this role owns server and hypervisor networking; enterprise switching, routing, firewall, and network architecture remain with Network Engineering. Work with infrastructure vendors on technology roadmaps, platform supportability, lifecycle planning, technical escalations, and architecture evaluations. Technical Leadership Develop and maintain architecture standards, reference architectures, technology roadmaps, design documentation, and architecture decisions. Establish standards for infrastructure reliability, security, observability, lifecycle management, automation, and supportability. Evaluate technologies based on scalability, performance, reliability, security, operational complexity, automation potential, and total cost of ownership. Partner with Security teams on infrastructure hardening, vulnerability management, compliance, and Zero Trust requirements. Present technical strategies, risks, tradeoffs, and investment recommendations to engineering and executive leadership. Serve as a senior escalation resource and mentor engineers across the infrastructure organization. Lead cross-functional technical initiatives and drive consensus across organizations without requiring direct authority. Qualifications 12+ years of progressive enterprise infrastructure engineering, architecture, or closely related experience, including substantial hands-on responsibility for production environments. Demonstrated experience designing and supporting large-scale, business-critical enterprise infrastructure. Deep experience with one or more enterprise virtualization platforms such as Hyper-V, VMware, Nutanix AHV, KVM, or comparable technologies, with the ability to rapidly learn additional platforms. Strong enterprise experience with Windows Server and Linux. Experience with container technologies and orchestration platforms such as Docker, Kubernetes, OpenShift, or comparable platforms. Significant experience with enterprise server platforms such as HPE, Dell, or comparable technologies. Strong understanding of storage and networking sufficient to design and troubleshoot compute integration with those technologies. Demonstrated infrastructure automation experience using PowerShell, Python, Ansible, Terraform, APIs, or comparable technologies. Experience applying Infrastructure as Code, source control, CI/CD, configuration management, or similar software-engineering practices to infrastructure. Proven ability to troubleshoot complex issues across multiple infrastructure domains. Demonstrated ability to create technical standards and translate architecture into successful production implementations. Preferred Experience Experience in several of the following areas is beneficial; candidates are not expected to have expertise in all of them: Nutanix, KVM, HCI, or software-defined infrastructure Kubernetes or enterprise container platforms Azure Arc, Azure Local, or hybrid infrastructure GitOps, Infrastructure as Code, and CI/CD AI-assisted engineering and agentic automation Enterprise monitoring and observability ITSM, CMDB, security, and vulnerability-management integration Redfish, REST APIs, and hardware-management automation Data center infrastructure management Large-scale platform migrations and technology refresh programs Manufacturing, semiconductor, high-performance engineering, or similarly complex environments Key Competencies Deep technical curiosity and the ability to rapidly learn unfamiliar technologies. Comfortable moving between strategic architecture and hands-on technical investigation. Strong bias toward automation, standardization, simplification, and elimination of repetitive work. Strong analytical approach to reliability, performance, scalability, security, supportability, and cost. Ability to communicate complex technical concepts to both engineering and executive audiences. Ability to work across organizational boundaries and influence technical direction without direct authority. Strong mentoring skills and a desire to raise the technical capability of the broader organization. Willingness to challenge established assumptions using data, testing, and engineering analysis. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status . click apply for full job details
Job Description Job Description Company Description Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Job Description Location: Chicago (Hybrid - at least 3 days onsite/week) This position is open to candidates who are currently located in the Greater Chicago area. Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). One of our clients, a leading software company operating in the telecommunications and network optimization sector, is seeking a Client Solutions Software Engineer to join its technical team. This role focuses on software deployment, system integration, infrastructure support, and customer-facing technical activities within enterprise environments. Role and responsibilities Deploy, configure, and upgrade software solutions in customer environments. Design and recommend optimal system architectures and deployment models. Provide technical support related to system integration, databases, licensing, and infrastructure. Deliver administration and technical training to customers. Develop and maintain automation scripts for deployment, configuration, and troubleshooting activities. Support pre-sales and post-sales technical engagements, including evaluations, proof of concepts, installations, and production support. Collaborate with internal engineering, support, and customer success teams to ensure successful implementations. Participate in automation and process optimization initiatives. Technical Environment Windows and Linux environments Virtualization technologies (VMware, Citrix) Databases: Oracle, SQL Server, PostgreSQL, MongoDB Scripting & Automation: PowerShell, Python, Bash Cloud Platforms: AWS, Azure, GCP Containerization technologies such as Docker and Kubernetes (nice to have) Qualifications Master's degree in Computer Science, Information Systems, Software Engineering, or a related field. 2-4 years of experience in system administration, software deployment, infrastructure support, or database administration. Strong troubleshooting and problem-solving skills. Experience working with virtualized environments. Knowledge of cloud platforms, particularly AWS. Scripting experience, ideally with PowerShell, Python, or Bash. Excellent communication skills and ability to interact directly with customers. Ability to work across infrastructure, software, database, and cloud-related topics. Preferred Qualifications Experience with enterprise software deployment and support. Knowledge of automation platforms and workflow orchestration. Familiarity with Docker and Kubernetes. Previous customer-facing or consulting experience. Company's Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: Competitive salary between USD $65,000 - US$75,000 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year ️️ Company health, dental, and vision insurance plans + FSA Voluntary STD and LTD Commuter/transit benefits All your information will be kept confidential according to EEO guidelines.
11/09/2026
Full time
Job Description Job Description Company Description Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Job Description Location: Chicago (Hybrid - at least 3 days onsite/week) This position is open to candidates who are currently located in the Greater Chicago area. Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). One of our clients, a leading software company operating in the telecommunications and network optimization sector, is seeking a Client Solutions Software Engineer to join its technical team. This role focuses on software deployment, system integration, infrastructure support, and customer-facing technical activities within enterprise environments. Role and responsibilities Deploy, configure, and upgrade software solutions in customer environments. Design and recommend optimal system architectures and deployment models. Provide technical support related to system integration, databases, licensing, and infrastructure. Deliver administration and technical training to customers. Develop and maintain automation scripts for deployment, configuration, and troubleshooting activities. Support pre-sales and post-sales technical engagements, including evaluations, proof of concepts, installations, and production support. Collaborate with internal engineering, support, and customer success teams to ensure successful implementations. Participate in automation and process optimization initiatives. Technical Environment Windows and Linux environments Virtualization technologies (VMware, Citrix) Databases: Oracle, SQL Server, PostgreSQL, MongoDB Scripting & Automation: PowerShell, Python, Bash Cloud Platforms: AWS, Azure, GCP Containerization technologies such as Docker and Kubernetes (nice to have) Qualifications Master's degree in Computer Science, Information Systems, Software Engineering, or a related field. 2-4 years of experience in system administration, software deployment, infrastructure support, or database administration. Strong troubleshooting and problem-solving skills. Experience working with virtualized environments. Knowledge of cloud platforms, particularly AWS. Scripting experience, ideally with PowerShell, Python, or Bash. Excellent communication skills and ability to interact directly with customers. Ability to work across infrastructure, software, database, and cloud-related topics. Preferred Qualifications Experience with enterprise software deployment and support. Knowledge of automation platforms and workflow orchestration. Familiarity with Docker and Kubernetes. Previous customer-facing or consulting experience. Company's Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: Competitive salary between USD $65,000 - US$75,000 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year ️️ Company health, dental, and vision insurance plans + FSA Voluntary STD and LTD Commuter/transit benefits All your information will be kept confidential according to EEO guidelines.
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
11/08/2026
Full time
Designs and implements security architecture for cloud-based platforms and infrastructure across secure networks. The role supports accreditation and compliance, assesses vulnerabilities and risks, integrates cloud and enterprise security tools, and works with engineering teams to maintain a strong security posture. Responsibilities Validate system security requirements and establish security designs for complex, distributed systems. Develop technical security solutions, products, and standards aligned with security architecture. Integrate cloud-native security services with enterprise platforms, vulnerability tools, STIG evaluation, and SIEM. Design cloud security architectures across AWS, Azure, GCP, and OCI, accounting for provider-specific capabilities. Develop container and Kubernetes security controls, including image security, admission controls, identity, secrets, network policies, and runtime protection. Design and assess enterprise network security controls, including firewalls, intrusion detection and prevention, proxies, VPNs, encryption, and DNS security. Required Skills Cloud security architecture AWS security Azure security Google Cloud Platform security Oracle Cloud Infrastructure security Risk Management Framework (RMF) Vulnerability management STIG evaluation SIEM integration Kubernetes and container security
