QAE/DevOps Architect — AI-Driven Quality & CI/CD
GEHA
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Benefits offered by this job
Job summary
GEHA is seeking a QAE/DevOps Solutions Architect to lead enterprise QA engineering, automation, and DevOps. You will define end-to-end SDLC with Azure DevOps pipelines, CI/CD governance, and AI-assisted quality practices.
You will guide modernization of SDLC, establish quality gates, and ensure alignment with enterprise standards across teams. This role emphasizes data-driven quality and scalable automation in a federal-benefits environment.
Qualifications
- 10+ years in QA, quality engineering, or test automation, including architect experience.
- Led QA manual-to-automation transformations and modernization of SDLC.
Responsibilities
- Define QAE and DevOps automation architecture and governance.
- Evolve test tech stack, reference architecture, and repo standards.
- Design and optimize Azure DevOps CI/CD pipelines with quality gates.
- Integrate automated UI/API/performance/data tests into pipelines.
- Mentor QA and DevOps engineers on best practices and governance.
- Drive continuous improvement of deployment reliability and quality metrics.
Skills
Tools
Job description
GEHA is seeking a QAE/DevOps Solutions Architect to lead enterprise QA engineering, automation, and DevOps. You will define end-to-end SDLC with Azure DevOps pipelines, CI/CD governance, and AI-assisted quality practices.
You will guide modernization of SDLC, establish quality gates, and ensure alignment with enterprise standards across teams. This role emphasizes data-driven quality and scalable automation in a federal-benefits environment.
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