Strengthen distributed AI systems as a hybrid Software Development Engineer in Test based in Montreal, using Python, profiling, and stress testing. This SDET role focuses on reliability and performance within large-scale AI infrastructure. You will design sophisticated automation for training and inference workloads while validating distributed systems, GPU kernels, and AI frameworks. Collaboration with System Engineers supports deep cluster troubleshooting. Key Responsibilities:

Design scalable automated testing foundations from the ground up Create complex plans for end-to-end system integration Execute stress tests across distributed AI environments Investigate cluster failures with telemetry and profiling tools Validate performance-critical primitives at scale Requirements:

Solid Python skills for automation and orchestration Proven complex back-end test framework experience Distributed systems troubleshooting and root-cause analysis ability Containerization experience with Docker or Kubernetes CI/CD experience with GitHub Actions, GitLab CI, or Jenkins Bring distributed testing, Python automation, and root-cause analysis skills to reliability work for AI infrastructure in Montreal.

📌 Distributed Systems SDET Montreal (Winnipeg)
🏢 Delos Data
📍 Winnipeg