QA Manager
$110,000–$135,000 year
HybridToronto, Ontario, Canada
Job Summary
Build and lead a central quality engineering function by recruiting and managing a team of SDETs to embed quality across product development through automation and infrastructure. Define and execute a scalable quality strategy that shifts testing left, strengthens component coverage, and improves E2E test stability for a growing SaaS platform. Design robust quality approaches for non-deterministic AI and analytics systems, applying advanced validation methods like golden datasets and synthetic test generation. Optimize CI/CD pipelines to reduce flaky tests while establishing meaningful quality gates, and oversee release management to ensure readiness through rigorous risk assessment. Drive the creation of scalable, compliant test data systems and integrate observability tools to enhance root cause analysis. Track key DORA metrics to refine quality strategy and guide investments in automation, while partnering with engineering leaders to instill a quality-first mindset and improve developer workflows.
Required Qualifications
- 7+ years' experience leading QA or quality engineering teams within modern SaaS or platform organizations in cloud-native environments (AWS)
- Expertise in building and scaling automated testing infrastructure, including integration with modern CI/CD pipelines (GitHub Workflows)
- Knowledge of testing strategies across the pyramid, from unit to E2E, including contract and performance testing (Cypress, Pact, K6)
- Solid front-end knowledge and testing fluency in HTML/CSS/JavaScript/TypeScript
- Back-end knowledge in RESTful APIs
- Experience applying AI tools in the testing lifecycle, such as for test generation, defect prediction, or intelligent automation, to improve coverage and efficiency
- Experience testing non-deterministic systems such as LLM applications, or statistical algorithms—along with familiarity with validation approaches for GenAI or agentic systems (e.g. snapshot testing, LLM-as-a-judge, synthetic test case generation)
- Hands-on familiarity with observability tools (New Relic)
- Experience integrating QA tools like Zephyr Scale and on-prem CI/CD systems (GitHub)
- A strategic mindset paired with a pragmatic, systems-thinking approach to quality at scale
- 3 days a week in our Toronto office located at 351 King St E Suite 1100 Toronto ON
Desired Qualifications
- Experience with LLM-based GenAI features and agentic AI capabilities
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