Design and maintain automated regression suites, develop performance and load tests, integrate quality gates into CI/CD pipelines, apply AI-assisted testing techniques, and coach teams on QA best practices. Collaborate with developers and delivery leads to improve release predictability, reduce operational risk, and increase engineering efficiency. The role also supports API and integration testing and quality engineering in enterprise or regulated environments.
This is a remote position.
Role Overview
We are seeking a Senior QA Engineer to help reduce manual regression effort, improve release quality, and enable faster, more reliable delivery. The ideal candidate combines deep hands-on test automation expertise with strong performance testing skills, modern CI/CD quality practices, and the ability to coach a team toward QA best practices.
Key Responsibilities
- Design, build, and maintain automated test suites to expand regression coverage and reduce manual effort.
- Develop and execute performance and load tests to validate system reliability and scalability.
- Integrate quality gates into CI/CD pipelines to ensure consistent, reliable releases.
- Apply AI-assisted quality engineering techniques to accelerate test creation and improve coverage.
- Coach and mentor the team on QA best practices, standards, and tooling.
- Collaborate with developers and delivery leads to improve delivery predictability and reduce operational risk.
Required Skills & Experience
- Test automation and regression coverage — designing and scaling automated test frameworks.
- Robot Framework — strong hands-on automation experience.
- JMeter — performance and load testing.
- Azure DevOps — pipelines, boards, and test management.
- CI/CD quality integration — embedding automated quality gates into delivery pipelines.
- AI-assisted quality engineering, including GitHub Copilot, to accelerate testing.
- Demonstrated ability to coach teams on QA best practices.
Nice to Have
- Experience in regulated or public-sector / enterprise delivery environments.
- Familiarity with shift-left testing and quality-engineering culture.
- Exposure to API and integration testing.
Expected Outcomes
Improved delivery predictability, reduced operational risk, and increased engineering efficiency — through stronger automation, reliable performance validation, and embedded quality practices.
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