QAE/DevOps Solutions Architect

🕒 il y a 7 jours

🏰 Missouri – Distant

infoinfo

💵 $123 398 - $156 106 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

👻 Score fantôme 0%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of GEHA Health

GEHA Health

1001 - 5000 employés

Fondée en 1937

🏥 Santé

🛡️ Assurance

⚕️ Assurance santé

Healthcare • Insurance • Healthcare Insurance

GEHA Health est une grande association de prestations dédiée à servir les employés fédéraux, les retraités et leurs familles. Fondée par des employés des postes en 1937, GEHA propose une gamme complète de plans de santé et dentaires, incluant des options FEHB et PSHB, ainsi que des avantages supplémentaires tels que des abonnements à des salles de sport, des avantages visuels et des récompenses bien-être. Avec un réseau de 1,7 million de prestataires à l'échelle nationale et une couverture étendue des médicaments sur ordonnance, GEHA privilégie la réinvestissement des bénéfices pour améliorer l'expérience des membres et soutenir la santé de la main-d’œuvre fédérale. Leurs plans comprennent des options Medicare Advantage et une offre robuste de télésanté, garantissant à leurs membres le meilleur soin et couverture possible.

Description

• Lead the design and implementation of enterprise-scale quality engineering, automation, and DevOps capabilities • Define end-to-end SDLC and QA architecture with emphasis on Azure DevOps pipelines, CI/CD integration, governance, quality gates, and AI-assisted quality engineering • Define and evolve the test technology stack, reference architecture, code standards, and repository structure • Assess emerging Quality and DevOps technologies and their quality implications • Help modernize the end-to-end SDLC process and supporting technology stack • 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 UI, API, performance, and data validation testing into CI/CD pipelines • Define and enforce QA governance models, standards, controls, and best practices across teams • Manage the automation backlog and risk-ranked regression suites; identify and retire QA technology technical debt • Lead adoption of AI-assisted QA tools • Partner with DevOps, engineering, and platform teams for end-to-end SDLC integration • Lead shift-left quality initiatives and shift-right processes informed by production incidents • Evaluate and select QA automation, pipeline optimization, and AI integration tools and frameworks • Mentor QA and DevOps engineers • Drive continuous improvement of deployment reliability, speed, and quality metrics • Extend QA oversight to AI agents and bot interactions, defining bot quality rules and grades

🎯 Exigences

• 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) preferred • Experience with containerization (Docker, Kubernetes) preferred • Experience with cloud-native architectures (Azure preferred) • Experience with AI-assisted development or testing tools preferred • Experience with data platforms (Snowflake, dbt) is a plus • Familiarity with security, compliance, and enterprise AI governance policies • Ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office • Minimum internet speed of 30x5 (30 Mbps download x 5 Mbps upload) • Latency (ping) response time lower than 80 ms • Hotspots, satellite and wireless internet service are not allowed • Dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

🏖️ Avantages

• Competitive pay/salary ranges • Incentive plan • Health/Vision/Dental benefits effective day one • 401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution • Robust employee well-being program • Paid Time Off • Personal Community Enrichment Time • Company-provided Basic Life and AD&D • Company-provided Short-Term & Long-Term Disability • Tuition Assistance Program • Remote and work-from-home options

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