StackAdapt 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 StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
As a Senior Quality Engineer in Quality Infrastructure at StackAdapt, 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 DevOps 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!
StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada for this position.
What You'll Be Doing:
- 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
What You'll Bring to the Table:
- 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 (BuildKite, Jenkins, GitHub 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
- Proficiency in JavaScript/TypeScript for test automation and Python or Go for infrastructure tooling
- 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 the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
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.
Factors Influencing Final Compensation:
- 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, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Base Salary Band
$104,000—$143,000 CAD
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
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