About the role
We’re looking for a Quality Engineer to lead the adoption of AI-driven quality engineering across multiple teams. Instead of relying on manual QA, you’ll use coding agents such as Claude Code, Codex or GitHub Copilot to generate and maintain tests, build automated quality gates, and coach developers to test effectively with AI.
What you’ll do
- Lead AI-driven quality engineering practices across teams.
- Use AI tools to generate, maintain and optimize test cases, automation frameworks, performance tests, API validation suites and release validation workflows.
- Coach developers to use AI for testing.
- Build AI-assisted quality gates throughout the SDLC.
- Evaluate new AI tools and agents that improve quality and productivity.
- Work with engineering teams to reduce escaped defects and production incidents.
- Build autonomous validation workflows that need minimal human intervention.
- Create reusable prompts, agents and workflows that scale across teams.
- Drive release readiness and risk assessment with data and AI-generated insights.
- Measure and report quality, test efficiency and productivity gains.
What you’ll bring
- 5+ years of QA or quality engineering, with a strong emphasis on test automation.
- 3+ years building automated test frameworks for web applications, APIs, microservices or cloud-native platforms.
- 3+ years of programming in Python, C#, Java or TypeScript.
- 3+ years with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins or similar) and automated quality gates.
- Hands-on use of AI development tools such as GitHub Copilot, ChatGPT, Claude, Cursor or Windsurf to create and maintain tests and analyze defects.
Nice to have
- Curiosity about emerging AI technologies and engineering practices.
- Automated testing for high-frequency deployments and rapid release cycles.
- AI-generated test suites, self-healing test frameworks or autonomous testing.