Senior Platform Engineer, Quality Platform
New
J
JobgetherSoftware engineering
Remote work arrangement for candidates based in Toronto or Montreal.Full-TimeSenior
SalarySenior level: CAD $107,000–$165,000. Equity opportunities. Bonus eligibility, depending on the role.
Apply NowOpens the employer's application page
Job Details
- Languages
- Excellent spoken and written English
- Required Skills
- AWSSeleniumCI/CDSoftware EngineeringDatadogPlaywright
Requirements
- Have strong software engineering fundamentals, including experience writing, debugging, and maintaining production application code.
- Have hands-on experience building and maintaining production-grade test automation frameworks using Playwright, Selenium, or comparable technologies.
- Have experience integrating automated testing into CI/CD pipelines and diagnosing flaky tests, failing suites, and build reliability issues.
- Have experience developing or maintaining shared developer tooling, testing infrastructure, or engineering platforms.
- Have practical experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions, applying sound technical judgment.
- Be able to own systems throughout their lifecycle, from architectural design and implementation to production support.
- Have experience mentoring engineers and helping establish stronger engineering quality standards across teams.
- Have excellent spoken and written English and be able to collaborate daily with engineering leaders and managers across multiple teams.
- Be able to communicate technical priorities to executive stakeholders.
- Familiarity with cloud infrastructure such as AWS, containerized environments, and observability tools such as Datadog is an advantage.
- Experience building test harnesses for AI-powered features, developing autonomous or agentic AI systems, or evaluating AI-powered developer tools is nice to have.
Responsibilities
- Build, maintain, and evolve shared quality platforms, test automation frameworks, and developer tools.
- Design AI-assisted test authoring infrastructure to reduce test creation time while maintaining testing standards.
- Establish and improve CI standards and integrations to strengthen build reliability.
- 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.
- Develop shared testing utilities and frameworks for adoption across engineering teams.
- Partner with Quality Advocates, product engineering teams, and SRE to improve testing strategies, platform reliability, and release confidence.
- Evaluate emerging AI-powered testing tools and lead adoption when they measurably improve engineering workflows.
- Own platform systems from architecture and implementation through deployment, maintenance, and production support.
- Mentor engineers and promote practices that improve software quality and development effectiveness.
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