QAE/DevOps Solutions Architect

GEHA; Missouri; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Incentive plan

Health/Vision/Dental benefits

401(k) match

Well-being program

Paid Time Off

Tuition Assistance

Company-provided Life Insurance

Disability coverage

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

QA Automation

Azure DevOps

CI/CD pipelines

Playwright

Selenium

C#

Python

PowerShell

Governance

AI QA tools

Tools

Azure DevOps Tools

Docker

Kubernetes

Snowflake

dbt

Job description

About the Company

Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care. G.E.H.A has one mission: To empower federal workers to be healthy and well.

Position Overview

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.

Duties and Responsibilities

• 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.

Knowledge, Skills, and Abilities

• 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.

Preferred Qualifications

• 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
• Hotspots, satellite and wireless internet service is NOT allowed for this role.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Benefits

• 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
• Benefits start on day