30 jobs found

Job Description Job Description Skill: Technical Architect Must Have Technical/Functional Skills: 6-7 years experience across cloud, infrastructure engineering, production operations, platform engineering, SRE, DevOps, or enterprise technology transformation. At least 1-2 years in architecture, program ownership, or technology partner roles with accountability for critical platforms, budgets, vendors, regulatory commitments, and distributed teams. Strong expertise across Microsoft Azure and AWS, including enterprise landing zones, identity, networking, compute, storage, databases, containers, security, observability, resilience, governance, and cost management. Preferred DevOps engineering background with credible hands-on experience in CI/CD, GitOps, Infrastructure as Code, automation, scripting, containers, orchestration, observability, release engineering, and production support. Proven leadership of cloud adoption, data-center modernization, hybrid-cloud transformation, migration, platform engineering, resilience, automation, technical-debt reduction, or operating-model change. Deep knowledge of network and infrastructure architecture, identity and access management, backup and recovery, capacity, performance, virtualization, middleware, databases, patching, vulnerability management, and lifecycle governance. Demonstrated command of incident, problem, change, release, availability, configuration, continuity, disaster recovery, major-incident, and service-level management. Strong understanding of DevSecOps, zero trust, cloud security controls, operational resilience, audit evidence, technology risk, compliance, and third-party governance in banking or financial services. Excellent executive communication, stakeholder influence, vendor and commercial management, negotiation, financial management, facilitation, and organizational leadership skills. Ability to work onsite as required, lead across time zones, and provide executive and technical direction during critical incidents or planned changes. Significant experience in banking, financial services, payments, lending, deposits, risk, treasury, digital banking, or another highly regulated and high-availability environment. Demonstrated delivery of enterprise AI/ML, generative AI, agentic AI, AIOps, MLOps, or AI-enabled engineering and operations initiatives. Experience integrating Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise AI services into secure platforms and operating workflows. Knowledge of responsible AI, model governance, data privacy, AI evaluation, retrieval-augmented generation, prompt and model lifecycle management, human oversight, and production AI monitoring. Experience applying AI to anomaly detection, predictive incident management, event correlation, root-cause analysis, capacity forecasting, operational knowledge, engineering productivity, and automated remediation. Relevant certifications such as Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS Solutions Architect Professional, AWS DevOps Engineer Professional, Kubernetes, Terraform, ITIL, SRE, FinOps, or cloud security credentials. Experience with ServiceNow, Splunk, Dynatrace, AppDynamics, Grafana, Prometheus, Azure Monitor, Amazon CloudWatch, OpenTelemetry, or comparable observability and service-management platforms. Experience establishing internal developer platforms, cloud centers of excellence, reusable engineering patterns, service catalogs, golden paths, and communities of practice. Roles & Responsibilities: Cloud Strategy & Architecture: Define and execute the bank's Azure and AWS strategy, target architecture, landing zones, account/subscription model, guardrails, shared services, and migration roadmap. Design secure, resilient, scalable, and cost-effective hybrid and multi-cloud solutions across compute, storage, networking, databases, integration, identity, containers, and serverless services. Lead workload assessments and select appropriate rehost, replatform, refactor, retire, retain, or replace strategies. Establish reusable architecture patterns, golden paths, reference implementations, policy-as-code, and technical standards for regulated workloads. Conduct architecture reviews and ensure alignment with enterprise architecture, security, data, operational resilience, and regulatory requirements. Infrastructure, Operations & Resilience: Own the strategic direction for hybrid infrastructure, including network, compute, storage, virtualization, identity, backup, database platforms, middleware, end-user dependencies, and data-center integrations. Improve operational maturity across incident, problem, change, release, capacity, availability, configuration, patch, vulnerability, backup, and service-continuity management. Define service-level objectives, reliability indicators, error budgets, recovery objectives, operational readiness criteria, escalation paths, and executive service reporting. Lead major incident response, root-cause analysis, corrective actions, resilience testing, disaster-recovery exercises, and systemic risk reduction. Implement end-to-end observability, event correlation, actionable alerting, service mapping, capacity forecasting, and automated remediation. Drive simplification, standardization, technical-debt reduction, lifecycle management, platform currency, and retirement of unsupported technologies. DevOps, Platform Engineering & Automation Champion a DevOps engineering culture based on shared ownership, secure automation, continuous improvement, rapid feedback, and frequent low-risk releases. Design and govern CI/CD and GitOps practices using Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or equivalent enterprise tooling. Drive Infrastructure as Code and configuration automation using Terraform, Bicep/ARM, CloudFormation, Ansible, PowerShell, Python, or Bash. Lead container and orchestration adoption using Docker, Kubernetes, AKS, EKS, and related platform services. Embed automated testing, code quality, secrets management, vulnerability scanning, artifact controls, policy checks, segregation of duties, and deployment approvals into pipelines. Track engineering outcomes through deployment frequency, lead time for change, change failure rate, recovery time, availability, automation coverage, platform adoption, and technical-debt reduction. AI Integration & Intelligent Operations - Preferred: Identify and prioritize responsible AI, generative AI, and machine-learning opportunities across IT operations, engineering productivity, service management, knowledge management, fraud/risk support, and customer or employee experiences. Integrate AI capabilities using services such as Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise platforms. Support MLOps and GenAIOps practices, including model and prompt versioning, automated pipe lines, evaluation, deployment, observability, drift detection, grounding, rollback, and lifecycle controls. Apply secure and responsible AI principles covering privacy, data lineage, access control, human oversight, output validation, explainability, model risk, prompt-injection defense, and confidential-data protection. Evaluate AIOps use cases for anomaly detection, predictive incident management, alert reduction, root-cause analysis, capacity forecasting, and self-healing operations. Partner with data, cybersecurity, legal, compliance, model-risk, and business teams to move AI proofs of value into governed, production-ready services. Security, Risk, Compliance & FinOps: Partner with cybersecurity, enterprise architecture, operational risk, audit, compliance, data governance, and model-risk teams to implement controls aligned with bank policy and applicable regulatory expectations. Apply zero-trust, least-privilege, segregation-of-duties, encryption, key management, privileged-access, secure configuration, immutable logging, and continuous-monitoring principles. Maintain evidence-ready controls and support risk assessments, technology control testing, audits, remediation plans, regulatory examinations, and third-party reviews. Implement FinOps practices for budgeting, tagging, showback/chargeback, commitment management, rightsizing, waste reduction, licensing optimization, and unit-cost transparency. Manage vendor performance, statements of work, service levels, architectural compliance, delivery risks, commercial outcomes, and knowledge transfer.

GovCIO LLC seeks a Senior Application Developer to design, build, and modernize secure enterprise applications for federal agencies within our Information Technology (IT) & Digital Solutions team. You will lead end-to-end development using modern languages, frameworks, APIs, and cloud platforms to deliver scalable, resilient, and compliant solutions that improve mission outcomes and citizen services. In our mission-driven, collaborative, and fast-paced culture, you'll mentor developers, shape technical direction, and apply DevSecOps and agile practices. This role offers the opportunity to work with modern tech, support high-impact government programs, and grow your skills through dedicated training and mentorship while contributing to large-scale digital transformation initiatives. Responsibilities Design, develop, and maintain secure, scalable enterprise applications for federal customers. Lead solution design, code reviews, and technical guidance for mid-level and junior developers. Collaborate with product owners, analysts, and UX to refine requirements into technical solutions. Implement and integrate RESTful services, microservices, and cloud-native components. Ensure code quality through automated testing, code reviews, and Dev Sec Ops best practices. Optimize performance, reliability, and security in alignment with federal standards and policies. Contribute to architecture decisions, technical documentation, and modernization roadmaps. Support agile ceremonies and mentor team members on modern engineering practices. Required Skills Java or C# enterprise development Java Script/Type Script and modern front-end framework (React or Angular) RESTful API design and development Microservices architecture Relational and No SQL databases (e.g., PostgreSQL, SQL Server, Mongo DB) Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Lab CI, or Git Hub Actions) Containerization and orchestration (Docker, Kubernetes) Automated testing (unit, integration, API) Agile/Scrum software development practices

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud's high-performance GPU fleet. This is a highly cross-functional, high-impact role that bridges the gap between our technical infrastructure and our Go-To-Market (GTM) engine. You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to translate commercial customer pipelines into requirements within the datacenter. Your mission will be to maximize resource utilization, eliminate fragmentation across accelerated computing clusters, and ensure our AI/ML customers receive seamless performance, directly supporting Crusoe's mission to align the future of computing with environmental sustainability. What You'll Be Working On GPU Fleet Bin-Packing & Optimization: Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within our data centers, minimizing fragmentation and maximizing cluster utilization. GTM & Pipeline Alignment: Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering, reviewing upcoming pipeline demands and mapping them to physical hardware constraints. Cross-Functional Capacity Execution: Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime of our customer workloads. Utilization Modeling & Metrics: Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks. Strategic Demand Forecasting: Synthesize commercial demand signals and large-scale AI training/inference architectural trends to inform hardware placement and scheduling. Automation Requirements: Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools. What You'll Bring to the Team Proven Capacity & Scheduling Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling. Hyperscaler Experience: Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric. GPU & Accelerated Compute Knowledge: Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems). Strong Cross-Functional Navigation: Proven ability to communicate complex infrastructure and physical layout constraints clearly to business stakeholders like Sales and Customer Success, while translating commercial requirements back to hardware engineers. Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field. Bonus Points Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics. A passion for green energy and aligning massive computing scales with environmental sustainability initiatives. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud's high-performance GPU fleet. This is a highly cross-functional, high-impact role that bridges the gap between our technical infrastructure and our Go-To-Market (GTM) engine. You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to translate commercial customer pipelines into requirements within the datacenter. Your mission will be to maximize resource utilization, eliminate fragmentation across accelerated computing clusters, and ensure our AI/ML customers receive seamless performance, directly supporting Crusoe's mission to align the future of computing with environmental sustainability. What You'll Be Working On GPU Fleet Bin-Packing & Optimization: Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within our data centers, minimizing fragmentation and maximizing cluster utilization. GTM & Pipeline Alignment: Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering, reviewing upcoming pipeline demands and mapping them to physical hardware constraints. Cross-Functional Capacity Execution: Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime of our customer workloads. Utilization Modeling & Metrics: Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks. Strategic Demand Forecasting: Synthesize commercial demand signals and large-scale AI training/inference architectural trends to inform hardware placement and scheduling. Automation Requirements: Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools. What You'll Bring to the Team Proven Capacity & Scheduling Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling. Hyperscaler Experience: Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric. GPU & Accelerated Compute Knowledge: Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems). Strong Cross-Functional Navigation: Proven ability to communicate complex infrastructure and physical layout constraints clearly to business stakeholders like Sales and Customer Success, while translating commercial requirements back to hardware engineers. Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field. Bonus Points Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics. A passion for green energy and aligning massive computing scales with environmental sustainability initiatives. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud's high-performance GPU fleet. This is a highly cross-functional, high-impact role that bridges the gap between our technical infrastructure and our Go-To-Market (GTM) engine. You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to translate commercial customer pipelines into requirements within the datacenter. Your mission will be to maximize resource utilization, eliminate fragmentation across accelerated computing clusters, and ensure our AI/ML customers receive seamless performance, directly supporting Crusoe's mission to align the future of computing with environmental sustainability. What You'll Be Working On GPU Fleet Bin-Packing & Optimization: Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within our data centers, minimizing fragmentation and maximizing cluster utilization. GTM & Pipeline Alignment: Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering, reviewing upcoming pipeline demands and mapping them to physical hardware constraints. Cross-Functional Capacity Execution: Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime of our customer workloads. Utilization Modeling & Metrics: Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks. Strategic Demand Forecasting: Synthesize commercial demand signals and large-scale AI training/inference architectural trends to inform hardware placement and scheduling. Automation Requirements: Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools. What You'll Bring to the Team Proven Capacity & Scheduling Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling. Hyperscaler Experience: Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric. GPU & Accelerated Compute Knowledge: Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems). Strong Cross-Functional Navigation: Proven ability to communicate complex infrastructure and physical layout constraints clearly to business stakeholders like Sales and Customer Success, while translating commercial requirements back to hardware engineers. Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field. Bonus Points Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics. A passion for green energy and aligning massive computing scales with environmental sustainability initiatives. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Mid Level Onsite Python Developer with CDE Experience About Futrend Technology, Inc. Futrend Technology, Inc. is a forward-thinking business and IT solutions provider supporting mission-critical federal programs. Our core practices include Healthcare IT, Federal Financial Management, and Grants Management. We specialize in enterprise-wide implementations, real-time system integration, and modernization initiatives using industry best practices and emerging technologies. Our culture is rooted in integrity, excellence, collaboration, and continuous improvement. We actively invest in our people through professional development, modern tools, and strong team support. Futrend offers competitive compensation and a comprehensive benefits package. Position Overview We are seeking a Mid-Level Full Stack Software Engineer to support a high-visibility federal client. The ideal candidate is a versatile and independent technologist with strong problem-solving abilities, experience working across complex codebases, and the ability to contribute throughout the full software development lifecycle. You will work in a collaborative Agile environment, contributing to system enhancements, application development, data integration activities, and modernization efforts. Key Responsibilities Design, develop, test, and maintain full stack applications in support of mission critical federal systems. Work across front end and back end components, ensuring seamless integration and performant code. Analyze requirements, propose technical solutions, and deliver enhancements with minimal supervision. Collaborate with cross functional teams-including developers, analysts, architects, and QA-to support high quality software delivery. Contribute to code reviews, design discussions, and architectural decisions. Support data workflows, integration processes, and system modernization efforts. Troubleshoot issues across the stack and provide timely resolution. Stay current with modern development practices, frameworks, and technologies. Core Qualifications (Required) 5+ years of hands-on software application or systems development experience. Strong proficiency in both procedural and object oriented programming, including familiarity with common design patterns. Experience working within large, complex codebases spanning the full technology stack. Ability to complete assignments independently with minimal oversight. Strong communication skills and proven ability to collaborate effectively in team environments. A self driven learner with a commitment to staying current with emerging technologies. Preferred Qualifications Experience with modern web development technologies such as HTML, CSS, JavaScript, Web APIs, JSON, Angular or React. Experience with server side technologies such as TypeScript, Node.js, Express.js, Webpack, NPM, or equivalents. Familiarity with functional or event-driven programming (callbacks, streaming, reactive programming, Promises/Futures). Experience working in Linux environments, including shell programming. Working knowledge of Python and libraries such as NumPy, Pandas, or scikit learn. Experience with SQL, NoSQL (MongoDB), or Elasticsearch, and data pipelines or ETL processes. Familiarity with Common Data Elements (CDEs) or healthcare/medical terminologies. Knowledge of Kubernetes or other container orchestration platforms. Experience with AWS or other cloud platforms, including cloud agnostic architectures. Compensation details: 00 Hourly Wage PIe52f6da6-

Mid Level Onsite Python Developer with CDE Experience About Futrend Technology, Inc. Futrend Technology, Inc. is a forward-thinking business and IT solutions provider supporting mission-critical federal programs. Our core practices include Healthcare IT, Federal Financial Management, and Grants Management. We specialize in enterprise-wide implementations, real-time system integration, and modernization initiatives using industry best practices and emerging technologies. Our culture is rooted in integrity, excellence, collaboration, and continuous improvement. We actively invest in our people through professional development, modern tools, and strong team support. Futrend offers competitive compensation and a comprehensive benefits package. Position Overview We are seeking a Mid-Level Full Stack Software Engineer to support a high-visibility federal client. The ideal candidate is a versatile and independent technologist with strong problem-solving abilities, experience working across complex codebases, and the ability to contribute throughout the full software development lifecycle. You will work in a collaborative Agile environment, contributing to system enhancements, application development, data integration activities, and modernization efforts. Key Responsibilities Design, develop, test, and maintain full stack applications in support of mission critical federal systems. Work across front end and back end components, ensuring seamless integration and performant code. Analyze requirements, propose technical solutions, and deliver enhancements with minimal supervision. Collaborate with cross functional teams-including developers, analysts, architects, and QA-to support high quality software delivery. Contribute to code reviews, design discussions, and architectural decisions. Support data workflows, integration processes, and system modernization efforts. Troubleshoot issues across the stack and provide timely resolution. Stay current with modern development practices, frameworks, and technologies. Core Qualifications (Required) 5+ years of hands-on software application or systems development experience. Strong proficiency in both procedural and object oriented programming, including familiarity with common design patterns. Experience working within large, complex codebases spanning the full technology stack. Ability to complete assignments independently with minimal oversight. Strong communication skills and proven ability to collaborate effectively in team environments. A self driven learner with a commitment to staying current with emerging technologies. Preferred Qualifications Experience with modern web development technologies such as HTML, CSS, JavaScript, Web APIs, JSON, Angular or React. Experience with server side technologies such as TypeScript, Node.js, Express.js, Webpack, NPM, or equivalents. Familiarity with functional or event-driven programming (callbacks, streaming, reactive programming, Promises/Futures). Experience working in Linux environments, including shell programming. Working knowledge of Python and libraries such as NumPy, Pandas, or scikit learn. Experience with SQL, NoSQL (MongoDB), or Elasticsearch, and data pipelines or ETL processes. Familiarity with Common Data Elements (CDEs) or healthcare/medical terminologies. Knowledge of Kubernetes or other container orchestration platforms. Experience with AWS or other cloud platforms, including cloud agnostic architectures. Compensation details: 00 Hourly Wage PIe52f6da6-

Job Description Job Description About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future. AGE Solutions is looking for a Cloud SCA-R, Mid, to join our team in support of a cybersecurity risk management and assessment program with our DoD customer. In this role, you will be part of a team responsible for performing analysis, conducting independent validations of assessments, and Continuous Monitoring (ConMon) for authorized CSPs and CSOs. Individuals in this role must be available to work full-time on-site at Ft. Meade, MD. Essential Duties and Responsibilities Include: Conduct cybersecurity assessments and validations of Cloud Service Offerings (CSOs) in support of the DoD Provisional Authorization (PA) process Prepare 30 Cloud Security Assessment Packages per year, including validated cybersecurity controls, certifier's recommendations, and residual risk statements Review Cloud Service Provider (CSP) documentation packages, including architectural diagrams, System Security Plans (SSP) with Addendums, Readiness Assessment Reports (RAR), Security Assessment Plans (SAP), and Security Assessment Reports (SAR) Evaluate supporting materials such as POA&Ms, Change Requests, Extension and Deviation Requests, Whitelist Requests, Corrective Action Plans, and applicable templates, checklists, and Continuous Monitoring (ConMon) artifacts Attend technical kickoff meetings to evaluate and document the CSP's security posture and readiness for assessment Analyze and provide feedback on assessment documentation, including the RAR, SAP, SSP, and system architecture diagrams Identify and document the operational impact of security authorizations, changes, or identified vulnerabilities within the CSP's environment Develop complete Cloud Security Assessment Packages in accordance with DoD standards, ensuring inclusion of SARs, POA&Ms, and Deviation Requests Create authorization recommendation memorandums summarizing compliance with DoD cybersecurity controls, technical evaluation results, and residual risk considerations Draft DoD PA memorandums outlining CSO boundary definitions, service offerings, authorization duration, terms and conditions, DoD usage considerations, and follow-on actions Validate implementation of CSO controls within eMASS or a government-provided GRC platform, and log assessment completion in the Mission Security Review (MSR) Review the Customer Responsibility Matrix (CRM) and ensure correct inheritance mapping within eMASS or the designated GRC tool Enter all authorization conditions into eMASS as system-level POA&Ms and monitor for timely resolution Upload and associate all CSP documentation with applicable security controls in eMASS or the appropriate system of record Track and manage all CSO-related data using the Team Lead Resource (TLR) Assessment Database Maintain and update the DoD Cloud Process Guide and associated templates, forms, checklists, and documentation Contribute to the development of internal instructions, how-to guides, and reference material to support consistent assessor workflows Ensure assessment activities are conducted in compliance with DoDI 8510.01 and the DoD Cloud Computing Security Requirements Guide (SRG) Document assessment methodologies and validation best practices to continuously improve assessment accuracy, consistency, and process efficiency Support the ongoing development and annual updates of the DoD Cloud Assessment Process Guides in alignment with evolving policy and government directives Required Qualifications: Education: Bachelor's degree (IT-related field preferred) Experience: Five (5) years of overall experience in cybersecurity or network security position Security Clearance: Must have an active DoD Top Secret clearance with SCI eligibility Certifications: DoD 8570 IAM/IA Technical (IAT) Level II certification Skills and Knowledge: Working knowledge of DoD Risk Management Framework (RMF) and DoDI 8510.01 Familiarity with the DoD Cloud Computing Security Requirements Guide (SRG) and associated cloud security policies Familiarity with security controls for Azure, AWS, and assorted cloud platforms Experience conducting security assessments and developing security documentation (e.g., SSP, SAR, POA&M, SAP) Proficiency with eMASS or equivalent Government Risk and Compliance (GRC) tools Demonstrated ability to interpret and apply NIST SP 800-53 security controls in cloud environments Strong analytical and technical writing skills with the ability to communicate complex topics clearly Location: Applicants must reside within a commutable distance of Ft. Meade, MD in order to work onsite full time. The projected salary range for this position is $100,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications. At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally. 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it. Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact. 401(k) with Match: We match 3% of your contributions with immediate vesting. Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents. Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs. Parental Leave: 15 days of fully paid leave for new parents, because family matters. Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving. Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right. Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create. At AGE, you'll do work that matters, supported by a company that delivers for its people.

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 S&P Global The role: Lead, IT Service Operations The location: Dalas, TX (hybrid - 2 days onsite per week) Role & Responsibility Summary: As a Cloud Engineer, you'll be an integral part of our global team of Cloud Engineers to help manage client & internal environments hosted in AWS for our enterprise-grade applications in the Corporate Actions & Custody domain. The team is responsible for all the infrastructure and automation required to support continuous integration and continuous delivery both for client cloud (UAT and Production) environments and internal environments We foster an open, inclusive environment where all perspectives are valued. Our team is focused on driving innovation, leveraging cutting-edge AI technologies, and maximizing engineering efficiency. We prioritize clean architecture, real-time performance, and data quality. Core Technical Qualifications: Good knowledge of UNIX/Linux systems and technologies - including shell scripting, OS configuration and troubleshooting Good knowledge of the Java eco system, JEE applications and application servers e.g. JBoss, Oracle WebLogic, IBM WebSphere Understanding of messaging-oriented middleware especially JMS (e.g. IBM MQ, Active MQ) Hands on experience of working in the AWS cloud (AWS preferred) Knowledge of AWS Cloud formation/Azure DevOps/Terraform and Experience with configuration and deployment management in a scripting language Experience of supporting a high uptime/high availability (24x7) system Prior experience of Incident Management/Ticketing Systems (e.g. Jira, ServiceNow) and workflows Experience in source control systems (e.g. GITHub) - branching, hook scripting, access control, backup & recovery Good knowledge of cloud computing concepts AI & Productivity Tooling (Modern Skills): Good knowledge of GenAI tools (e.g. ChatGPT ) Familiarity with prompt engineering or using AI to automate documentation, scripting, monitoring Experience using AI to accelerate DevOps, CI/CD pipelines, or observability tooling is a major advantage. Additional Preferred Qualifications: Proven experience in monitoring, analysing, and optimizing large-scale distributed systems in a cloud environment. Strong scripting and automation skills (PowerShell, Bash, Python) - bonus if paired with AI-based infrastructure tools. AWS certification or similar credentials are a plus. Ability to estimate usage costs and identify operational cost control mechanisms Experience with observability and monitoring platforms (e.g. Splunk, Datadog) Understanding of Continuous Integration and Continuous Delivery, concepts and tooling Experience of Springboot would be an advantage Soft Skills: 9+ years of experience as a cloud engineer. Strong problem-solving skills with a growth mindset and openness to AI-powered innovation. Excellent communication and cross-functional collaboration abilities. Capable of managing priorities and meeting deadlines in a fast-paced, continuously evolving environment. Occasional outside support hours will be required as part of an on-call rota to provide 24/7 cover Action Managed Services requests within defined SLAs Be familiar with operating in a challenging environment supported from different locations and should also have a strong appreciation of Development processes, tool sets and delivery infrastructure, and be comfortable working with multiple differing systems and tools. Bachelor's degree in computer science, preferably engineering graduate or equivalent Right to work requirements: This role is open only for candidates with indefinite right to work within the USA. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $125,000 - $155000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Duties: We are seeking an experienced Application Security Engineer to join our Software Security team and take charge of ensuring the security and integrity of our software applications. The ideal candidate will have advanced knowledge of secure software development, extensive experience with identifying vulnerabilities, and the ability to implement robust security solutions. This role will require collaboration with development teams, security architects, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Impact Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects to cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications Bachelor's or master's degree in computer science, Information Security, or a related field. Minimum of 5+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications Relevant security certifications such as CEH, OSCP, or GWAPT) from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), container security, and API security. Familiarity with SAST, DAST, and IAST tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advanced understanding and experience with writing source code (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science. Skills and Experience: Required Skills: MITIGATION CLOUD SECURITY METRICS SCANNING GCP Additional Skills: SOC INFORMATION SECURITY API DYNAMIC ANALYSIS C JAVA MAVEN AMAZON WEB SERVICES PROBLEM-SOLVING GITHUB DEPLOYMENT REPORTING TOOLS INCIDENT RESPONSE C/C++ CONTINUOUS INTEGRATION/DELIVERY TERRAFORM CODING DEV OPS EXCELLENT COMMUNICATION SKILLS JAVASCRIPT SOFTWARE SECURITY COMPTIA PYTHON STRUCTURED SOFTWARE GIAC SDLC JENKINS CODING STANDARDS TEAM PLAYER GRADLE KUBERNETES

Job Description Job Description Company Description Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. Job Description We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards. What You Will Be Doing : Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. Align models and metadata with governance standards and tools, including Collibra. Ensure all modeling and transformation logic is well-documented for traceability and compliance. Support performance tuning and optimization of data pipelines. Work in a distributed, global environment with both technical and business stakeholders. Qualifications Requirements 4-7 years of experience as a Data Modeler or similar role. Strong expertise in Snowflake data modeling and SQL. Strong business partnering, communication, and stakeholder management skills, with the ability to gather, challenge, and translate business requirements into scalable data solutions. Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models. Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus. Data Vault 2.0 experience is required. Experience with metadata and data governance platforms, ideally Collibra . Familiarity with AWS S3 is a plus. Solid understanding of data modeling methodologies, including Data Vault, Star Schema, and Normalization. Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently in a remote, cross-functional environment. Preferred Experience within pharmaceutical or life sciences organizations. Familiarity with data quality tools such as Ataccama . Experience working in Agile environments and facilitating requirements-gathering workshops. Additional Information WHY YOU SHOULD JOIN FUSION: At Fusion, you'll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You'll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You'll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork-empowering you to grow both professionally and personally. Joining Fusion means becoming part of a company that: Builds strong, trusted partnerships with clients , delivering tailored solutions that create real business value. Drives delivery excellence , holding ourselves accountable for the quality and impact of every outcome. Encourages entrepreneurial thinking , empowering you to take initiative, solve problems, and lead change. Operates with a truly global mindset , where diverse perspectives, cultures, and collaboration fuel our success. WHAT WE OFFER - FUSION BENEFITS We've designed our benefits to support your growth, well-being, and global mobility. Flexibility & Balance Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location. Recharge Freely: Take the time you need with flexible time off-beyond standard holiday allowances. Connect as a Team: Use your team's integration budget to meet, collaborate, and bond. Celebrate Your Birthday: Receive a special gift from Fusion on your birthday. Growth & Development Invest in Your Learning: Access CHF 1,500 annually for professional development. Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills. Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms. Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change. Recognition & Reward Earn What You're Worth: Receive a competitive salary and benefits package that reflects your impact. Refer Talent: Get rewarded for recommending new hires through our referral program. Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme. Global Mobility & Local Support Relocate with Ease: Receive financial assistance when moving for work. Navigate Global Moves: Get help with visas, permits, and international assignments. Benefit Locally: Enjoy perks tailored to your country of residence. Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success. OUR SELECTION PROCESS: Your time is valuable. That's why our hiring process is clear, efficient, and focused on mutual fit: Upload Your CV - Submit your application using the relevant button, depending on the job platform (approx. 3 minutes). Wait for Profile Review - Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks). Join an Introductory Call - Our Talent Acquisition team will arrange a brief conversation (15-30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations. Attend a Technical Interview - Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail. Participate in a Client Interview (if applicable) - For some roles, you may be invited to a client-facing discussion (30-60 minutes online). Receive Final Feedback - We aim to share timely feedback and move forward quickly. Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $ 77,120.00 - $ 147,390.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.