Senior Platform Engineer, Quality Platform

Jobgether; Toronto, Montreal; Híbrido; CAD 107.000 - 195.000; Tempo integral

Benefícios oferecidos por esta vaga

Equity opportunities

Bonus eligibility

Remote work arrangement for Toronto or

Country-specific benefits

Resumo da vaga

Jobgether is seeking a Senior Platform Engineer in Canada to lead the Quality Platform team. You will build shared testing infrastructure, AI-assisted tools, and developer experiences that raise testing standards across engineering groups.

You will collaborate with SREs, Quality Advocates, and product engineers to improve CI/CD and platform reliability. You will own end-to-end platform systems, mentor engineers, and help shape testing approaches for AI-powered capabilities while evaluating new

Qualificações

• Production-grade test automation frameworks experience.
• Experience integrating automated testing into CI/CD pipelines.
• Ability to own testing platforms end-to-end from design to production.

Responsabilidades

• Build and evolve shared quality platforms and test automation frameworks.
• Design AI-assisted test authoring infrastructure and health checks.
• Improve CI/CD standards and integrations for reliability.
• Develop test harnesses for AI-powered capabilities and resilience.
• Address flaky tests and testing debt to boost productivity.
• Mentor engineers and promote strong testing practices across teams.

Conhecimentos

Software engineering

Test automation

CI/CD pipelines

AI tooling in development

Cloud infrastructure

Observability tools

Mentoring engineers

English communication

Ferramentas

Playwright

Selenium

Datadog

Claude Code

GitHub Copilot

Cursor

Descrição da vaga

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Engineer, Quality Platform based in Canada.

As a Senior Platform Engineer on the Quality Platform team, you will build the shared testing infrastructure, automation frameworks, and AI-assisted tools that enable engineering teams to deliver reliable software with confidence. Rather than focusing on quality within a single product area, you will develop scalable platforms and developer experiences that make effective testing a standard across the organization. You will collaborate closely with product engineers, Quality Advocates, and Site Reliability Engineering (SRE) teams to improve developer productivity and release confidence. Your work will include advancing AI-assisted test creation, strengthening CI/CD practices, and improving the reliability of automated testing systems. You will also help establish testing approaches for AI-powered product capabilities and evaluate emerging tools that can deliver measurable engineering improvements. This is an opportunity to influence engineering practices across multiple teams while remaining hands-on with architecture, implementation, and production support.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.