Senior Platform Engineer, Quality Platform

About the Role:

Remote (Toronto or Montreal)

As a Senior Engineer on the Quality Platform team, you'll build the shared testing infrastructure, frameworks, and AI-assisted tooling that every engineering team at MaintainX relies on to ship quickly and confidently. Rather than owning testing for a single product area, you'll create the platform, developer experience, and automation that make high-quality software the default across the organization.

You'll partner closely with product engineering teams, Quality Advocates, and SRE to improve developer productivity, increase release confidence, and help shape the future of AI-powered testing at MaintainX.

What You'll Do:

• Build and evolve MaintainX's shared quality platform, test automation frameworks, and developer tooling.

• Design and develop AI-assisted test authoring infrastructure that significantly reduces test creation time while maintaining high quality.

• Own CI integration standards and improve 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 eliminate systemic test debt and flaky tests before they impact engineering teams.

• Build shared testing utilities and frameworks adopted across the engineering organization.

• Partner with Quality Advocates, product engineering teams, and SRE to continuously improve testing strategy and platform reliability.

• Evaluate emerging AI testing tools and drive adoption where they create measurable engineering impact.

About You:

• Strong software engineering fundamentals with experience writing, debugging, and maintaining production application code.

• Hands-on experience building and maintaining production-grade test automation frameworks using Playwright, Selenium, or similar technologies.

• Experience integrating automated testing into CI/CD pipelines and diagnosing flaky or failing test suites.

• Experience building or maintaining shared developer tooling, testing infrastructure, or engineering platforms — comfort with cloud infrastructure (e.g., AWS), containerized environments, and observability tooling (e.g., Datadog) is a plus.

• Experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar to accelerate engineering workflows while applying sound engineering judgment.

• Comfortable owning systems end-to-end, from architecture and implementation through production support.

• Experience mentoring engineers and helping raise engineering quality across teams.

• Strong spoken and written English, as you'll collaborate daily with engineering leaders and managers across multiple teams and present technical priorities to executive stakeholders.

Nice to Have:

• Experience building test harnesses for AI-powered features, including health checks, circuit-breakers, adversarial testing, or resilience testing.

• Experience building or maintaining autonomous or agentic AI systems.

• Experience evaluating AI-powered developer tools and integrating them into engineering workflows.

• Experience building observability and quality metrics into testing platforms.

• Experience working with large-scale developer platforms supporting multiple engineering teams.