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Senior Platform Engineer, Quality Platform

@ Jobgether

Remote in Canada

RemoteFull-time
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SIGNALS

Requirements summary:

  • 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.
Source and dates

Employer career site / ATS feed · lever

Employer posting date
2026-11-10
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Jobgether

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Your career navigator for remote work.

Full company description

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias. Our purpose is to make remote job search guided and intentional. Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.

LinkedIn followers
1,498,314
People associated on LinkedIn
391
Reported office locations
  • Brussels, BE
Business categories
  • Internet
  • Virtual Workforce
Other recorded names
  • Jobgether
Profile identifies a recruitment agency
No
Reported total investment
2,557,655

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for…

FieldValue
IndustryInternet Marketplace Platforms
Company size11-50 employees
HeadquartersBrussels
Organization typePrivately Held
Year founded2020
Open jobs on Jobsy280
LinkedInView page
Job description

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!

Why Apply Through Jobgether?

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.

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