
Senior AI Quality Assurance Developer, French Services
Radio-Canada
contract
Posted on:
Location Type: Hybrid
Location: Montreal • Canada
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Job Level
Tech Stack
About the role
- Design and implement testing strategies adapted to products integrating AI.
- Develop automated testing tools and frameworks (Python, TypeScript, others).
- Leverage AI to: Detect anomalies.
- Improve test coverage and validation relevance.
- Implement continuous validation mechanisms in CI/CD pipelines.
- Collaborate closely with developers, product teams, and data teams.
- Contribute to reliability practices (SRE): Observability.
- Monitoring.
- Incident management.
- Participate in continuous improvement of QA practices.
- Ensure the quality of features intended for a large audience.
- Document and simplify the approaches implemented.
Requirements
- Degree in a relevant field (engineering, computer science, etc.) or equivalent professional experience.
- Strong experience in software development (Python and/or TypeScript).
- Experience in test automation (unit, integration, end-to-end).
- Strong interest in AI applied to software development.
- Interest in SRE (Site Reliability Engineering) practices.
- Experience or curiosity with AI tools (LLMs, test generation, etc.).
- Good understanding of CI/CD pipelines.
- Experience in Agile environments (Scrum / Kanban).
- Ability to work on complex and scalable systems.
- Autonomy, resourcefulness, and initiative.
Benefits
- A stimulating technical environment focused on innovation.
- The opportunity to work with AI on a daily basis.
- A culture that values experimentation and learning.
- A collaborative and passionate team.
- Flexibility (remote / hybrid depending on context).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScripttest automationunit testingintegration testingend-to-end testingCI/CDAISREobservability
Soft Skills
collaborationautonomyresourcefulnessinitiative