Senior Platform Engineer, Quality Platform

Accountabilities: Build, maintain, and evolve shared quality platforms, test automation frameworks, and developer tools used across engineering teams. Design and develop AI-assisted test authoring infrastructure that significantly reduces test creation time while maintaining high testing standards. Establish and improve Continuous Integration (CI) standards and integrations to strengthen build reliability across engineering teams. Design test harnesses for AI-powered product capabilities, including health checks, graceful degradation, quota monitoring, and adversarial testing. Identify and address systemic testing debt and flaky tests before they affect engineering productivity or software delivery. Develop shared testing utilities and frameworks that can be adopted consistently across the engineering organization. Partner with Quality Advocates, product engineering teams, and SRE to continuously improve testing strategies, platform reliability, and release confidence. Evaluate emerging AI-powered testing tools and lead their adoption when they provide measurable improvements to engineering workflows. Own platform systems end-to-end, from architecture and implementation through deployment, maintenance, and production support. Mentor engineers and promote engineering practices that improve software quality and development effectiveness across teams. Requirements Strong software engineering fundamentals, including experience writing, debugging, and maintaining production application code. Hands-on experience building and maintaining production-grade test automation frameworks using Playwright, Selenium, or comparable technologies. Experience integrating automated testing into CI/CD pipelines and diagnosing flaky tests, failing suites, and build reliability issues. Experience developing or maintaining shared developer tooling, testing infrastructure, or engineering platforms. Familiarity with cloud infrastructure, such as AWS, containerized environments, and observability tools such as Datadog is an advantage. Practical experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions to accelerate engineering workflows while applying sound technical judgment. Ability to take ownership of systems throughout their lifecycle, from architectural design and implementation to production support. Experience mentoring engineers and helping establish stronger engineering quality standards across teams. Excellent spoken and written English, with the ability to collaborate daily with engineering leaders and managers across multiple teams and communicate technical priorities to executive stakeholders. Nice to have: Experience building test harnesses for AI-powered features, including health checks, circuit breakers, adversarial testing, and resilience testing. Experience developing or maintaining autonomous or agentic AI systems. Experience evaluating AI-powered developer tools and integrating them into engineering workflows. Knowledge of incorporating observability and quality metrics into testing platforms. Experience working with large-scale developer platforms that support multiple engineering teams. Benefits Competitive base salary: Senior level: CAD $107,000–$165,000. Principal level: CAD $131,000–$195,000. Equity opportunities. Bonus eligibility, depending on the role. Remote work arrangement for candidates based in Toronto or Montreal. Country-specific benefits covering areas such as health coverage, retirement, and leave. Exact Canadian benefit details are provided by the recruiter. Opportunity to contribute to shared engineering platforms and influence quality practices across multiple product teams. Exposure to AI-assisted development, automated testing innovation, and large-scale engineering infrastructure. Collaborative environment with opportunities for technical leadership, mentoring, and cross-functional impact. Inclusive workplace culture focused on belonging and enabling employees to thrive.