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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QAE/DevOps Solutions Architect - **Company:** Government Employees Health Association, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $123,398.0 - $156,106.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Integration Architecture, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Computer Programming, Modems, Continuous Integration, Data Validation, Cursor (Graphical User Interface Elements), DevOps, Internet Services, Apache JMeter, Python (Programming Language), Windows PowerShell, Systems Development Life Cycle, Azure DevOps Pipelines, Selenium, Software Quality Assurance (SQA), GitHub Copilot, Delivery Pipeline, Snowflake, Technical Debt, Containerization, Integration Tests, Kubernetes, Low Latency, Deployment Automation, Playwright, Bicep, Data Management, Virtual Agents, Terraform, Api Management, Docker - **Published:** September 12, 2026 - **Apply:** https://geha.wd5.myworkdayjobs.com/GEHACareers/job/Missouri-Remote/QAE-DevOps-Solutions-Architect_R-005329 ## About the Role * 10+ years of experience in QA, quality engineering, or test automation, including previous experience in an architect role. * Previous experience leading QA manual-to-automation transformation * Deep expertise in Azure DevOps (Platform Administration, Pipelines, Repos, Test Plans, Artifacts) with a strong focus on deployment pipelines. * Proven experience designing and governing enterprise CI/CD pipelines. * Strong experience with automation frameworks (Playwright, Selenium, or similar). * Experience with API testing, data validation, and pipeline-integrated testing strategies. * Strong scripting/programming skills (C#, Python, PowerShell, JMeter, or similar). * Experience integrating QA into CI/CD workflows with enforceable quality gates, including regression, integration, performance, and other quality checks. * Experience establishing governance frameworks for QA and DevOps practices. * Strong understanding of modern SDLC, DevOps, and Agile practices. * Data and analytics literacy to design QAE processes and interpret trends., * Experience with infrastructure-as-code (Bicep, Terraform, ARM). * Experience with containerization (Docker, Kubernetes). * Experience with cloud-native architectures (Azure preferred). * Experience with AI-assisted development or testing tools (e.g., GitHub Copilot, Claude Code, Cursor AI, AI test generation platforms). * Experience with data platforms (Snowflake, dbt) is a plus. * Familiarity with security, compliance, and enterprise AI governance policies. Work-at-home requirements * Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office. * A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required. * Latency (ping) response time lower than 80 ms ## Description The QAE/DevOps Solutions Architect leads the design and implementation of enterprise-scale quality engineering, automation, and DevOps capabilities. This role will define end-to-end SDLC and QA architecture with a strong emphasis on Azure DevOps pipelines, CI/CD integration, governance, quality gates, and AI-assisted quality engineering practices. The QAE/DevOps Solutions Architect leads the evolution from manual testing to a Quality Assurance Engineering (QAE) function using data to drive to enterprise outcomes., * Define QAE and DevOps automation architecture. Define and evolve the test technology stack, document the reference architecture, code standards, and repo structure the team builds against. * Stay up to date on emerging technology in the Quality and DevOps space. Assess how new technologies can be leveraged to enhance quality services. Stay up to date on the quality implications for emerging technology in development, data, and analytical domains. * Help lead and assist with the modernization of the end-to-end SDLC process and ensure our process and supporting technology stack aligns with emerging best practices. * Design, implement, and optimize Azure DevOps CI/CD pipelines with integrated quality gates and governance controls. Establish enterprise standards for build, release, and deployment pipelines, including compliance and auditability. * Integrate automated testing frameworks into CI/CD pipelines (UI, API, performance, data validation). Define and enforce QA governance models, including standards, controls, and best practices across teams. * Participate in the automation backlog, consuming risk-ranked regression suites with a deliberate record of which test cases are automated and why. Identify and retire technical debt in the QA technology stack. * Lead adoption of AI-assisted QA tools (e.g., test generation, defect prediction, intelligent automation). * Partner with DevOps, engineering, and platform teams to ensure seamless end-to-end SDLC integration. Lead shift-left quality initiatives to embed testing early in the development lifecycle and shift-right processes to ensure learnings with Production incidents. * Evaluate and select tools and frameworks for QA automation, pipeline optimization, and AI integration. * Mentor QA and DevOps engineers on best practices for automation, pipelines, and governance. * Drive continuous improvement of deployment reliability, speed, and quality metrics. * Extend QA oversight onto AI agents and bot interactions, define rules/grades for bots and ensure parity of quality controls across human and virtual agents. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Self-service Quality: QA Without QA](https://www.wearedevelopers.com/videos/100184-self-service-quality-qa-without-qa) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [How I Built QA from Scratch in a Scaling Startup - no fluff real life story](https://www.wearedevelopers.com/videos/2041-how-i-built-qa-from-scratch-in-a-scaling-startup-no-fluff-real-life-story) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)