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