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. Design scalable automated testing foundations from the ground upCreate complex plans for end-to-end system integrationExecute stress tests across distributed AI environmentsInvestigate cluster failures with telemetry and profiling toolsValidate performance-critical primitives at scaleRequirements: Solid Python skills for automation and orchestrationProven complex back-end test framework experienceDistributed systems troubleshooting and root-cause analysis abilityContainerization experience with Docker or KubernetesCI/CD experience with GitHub Actions, GitLab CI, or JenkinsBring distributed testing, Python automation, and root-cause analysis skills to reliability work for AI infrastructure in Montreal. #

📌 SDET - Automation (Winnipeg)
🏢 Delos Data
📍 Winnipeg