QAE/DevOps Solutions Architect

🕒 Setembro 11

🏰 Missouri – Remoto

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💵 $123.398 - $156.106 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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GEHA Health

1001 - 5000 funcionários

Fundada em 1937

🏥 Saúde

🛡️ Seguros

⚕️ Seguro de Saúde

Healthcare • Insurance • Healthcare Insurance

A GEHA Health é uma grande associação de benefícios dedicada a atender funcionários federais, aposentados e suas famílias. Fundada por trabalhadores dos correios em 1937, a GEHA oferece uma ampla gama de planos de saúde e odontológicos, incluindo opções FEHB e PSHB, além de benefícios adicionais, como assinaturas de academias, benefícios de visão e recompensas de bem-estar. Com uma rede de 1,7 milhão de prestadores de serviços em todo o país e ampla cobertura de medicamentos prescritos, a GEHA prioriza reinvestir os lucros para melhorar a experiência dos membros e apoiar a saúde da força de trabalho federal. Seus planos incluem opções de Medicare Advantage e uma oferta robusta de telemedicina, garantindo que seus membros recebam o melhor atendimento e cobertura possíveis.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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