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Zazz

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Senior QA Engineer (Canada)

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Summary

Remote (Canada-based) Senior QA Engineer at Zazz: builds and scales automated regression suites with Robot Framework, runs JMeter performance/load tests, embeds quality gates in Azure DevOps CI/CD pipelines, applies AI-assisted testing (GitHub Copilot), and coaches the team on QA best practices.

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.



See also

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