QA Automation Analyst building scripts, dashboards, and validation workflows for Keywords Studios’ game projects. Improving test coverage, reliability, and QA efficiency.
About the role
- SDET building automated testing and stress suites for a startup’s distributed AI infrastructure. Validating GPU kernels, AI frameworks, and performance-critical systems at scale.
Responsibilities
- Design, develop, and maintain a robust automated testing framework from the ground up supporting distributed AI training and inference workloads
- Develop complex test plans covering end-to-end system integration, stress testing, and hardware-software boundary conditions
- Partner with System Engineers to debug issues in distributed clusters using telemetry and profiling tools to identify bottlenecks
- Validate the intersection of distributed systems, GPU kernels, and AI frameworks
- Build a scalable foundation of trust in code and ensure performance-critical primitives work at any scale
Requirements
- Strong proficiency in Python for automation and orchestration
- Proven experience building or extending test automation frameworks for complex back-end systems
- Proven ability to troubleshoot automated test failures within complex large-scale distributed systems and identify root causes
- Experience with containerization (Docker/Kubernetes)
- Experience with modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins)
- Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field
- Experience with Kubernetes, Terraform, or Ansible for managing test-bed environments is desired
- Experience testing high-performance networking protocols or distributed file systems is desired
- Experience testing software that interacts directly with drivers or firmware is desired
- Authorization to work in Canada is required by the application form
Benefits
- Meaningful equity
- Benefits
- RRSP
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