QAE/DevOps Solutions Architect

🕒 vor 2 Tagen

🏰 Missouri – Remote

infoinfo

💵 $123.398 - $156.106 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of GEHA Health

GEHA Health

1001 - 5000 Mitarbeiter

Gegründet 1937

🏥 Gesundheitswesen

🛡️ Versicherung

⚕️ Krankenversicherung

Healthcare • Insurance • Healthcare Insurance

GEHA Health ist eine große Leistungsgesellschaft, die sich der Betreuung von Bundesangestellten, Rentnern und ihren Familien widmet. Gegründet 1937 von Postarbeitern, bietet GEHA eine umfassende Palette von Gesundheits- und Zahnplänen, einschließlich FEHB- und PSHB-Optionen, sowie zusätzliche Leistungen wie Fitnessstudio-Mitgliedschaften, Sehhilfen und Wellness-Prämien. Mit einem Netzwerk von 1,7 Millionen Anbietern landesweit und umfangreicher Abdeckung von verschreibungspflichtigen Medikamenten, legt GEHA Wert auf die Reinvestition von Gewinnen zur Verbesserung der Mitgliedererfahrung und zur Unterstützung der Gesundheit der Bundesbelegschaft. Ihre Pläne umfassen Medicare Advantage-Optionen und ein robustes Telemedizin-Angebot, um sicherzustellen, dass ihre Mitglieder die bestmögliche Pflege und Abdeckung erhalten.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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