Senior Quality Engineer, Infrastructure

Stack Adapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI‑powered Stack Adapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose Stack Adapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.

As a Senior Quality Engineer in Quality Infrastructure at Stack Adapt, you'll lead the design and implementation of critical testing infrastructure projects that enhance our engineering velocity and product reliability. You'll collaborate with QE, product engineering, and Dev Ops teams to build robust testing systems and frameworks that enable engineers to develop and deploy with confidence. You'll work closely with team leads and architects to deliver scalable testing solutions based on data‑driven insights.

Today, our engineering teams rely on our QE infrastructure to maintain quality at scale while enabling rapid development cycles. We're evolving from reactive testing to predictive quality engineering, and you'll play a key role in building the systems that power this transformation!

Stack Adapt is a remote‑first company; we are open to candidates located anywhere in Canada for this position.

• Design and implement intelligent test selection systems that optimize regression testing and reduce feedback cycles
• Build and maintain scalable test automation frameworks that improve test reliability and reduce flake rates across our test suite
• Collaborate with engineering teams to implement quality gates, optimize CI/CD pipelines, and reduce regression cycle times
• Contribute to initiatives across our QE pillars:
  Prevent, Prove, Observe, and Scale
• Develop tools and dashboards for test analytics, providing visibility into test coverage, reliability metrics, and performance trends
• Solve complex testing challenges including test parallelization, isolation, and intelligent failure analysis
• Share knowledge and best practices with the team, helping to elevate QE infrastructure capabilities across the organization

• 5+ years of experience in software development or test automation, with at least 2 years focused on test infrastructure
• Experience with Page Object Model patterns and E2E test architecture using popular frameworks such as Playwright
• Strong experience with CI/CD systems (Build Kite, Jenkins, Git Hub Actions) and test automation frameworks
• Proven ability to build developer‑friendly testing tools that drive adoption and improve productivity
• Experience with test analytics and using metrics to guide infrastructure improvements
• Solid understanding of distributed systems and experience with testing in complex environments
• Hands‑on experience with containerization (Docker, Kubernetes) and cloud platforms
• Strong debugging and troubleshooting skills for complex test infrastructure issues
• Good communication skills with ability to document technical solutions and collaborate effectively
• Track record of improving test reliability and reducing test execution times
• Familiarity with AI/ML applications in testing (test selection, self‑healing tests)
• Experience in adtech or similar high‑scale, data‑intensive systems

The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. Stack Adapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

• The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure,…