Design scalable AI infrastructure with Python and Kubernetes from Canada, working remotely first and visiting Montreal two to three times quarterly. Build reliable platforms for large-scale model serving.As a founding Senior AI Infrastructure Engineer, you will report to the Chief Technology Officer. You will combine software engineering with systems expertise across public cloud and on-premises environments. Your work supports high concurrency, performance, security, and service quality for AI workloads.Key Responsibilities:
Design multi-cloud and on-premises infrastructureOrchestrate deployments with infrastructure-as-code and containersBenchmark inference workloads and optimize hardware utilizationMaintain monitoring systems for reliabilityIntegrate optimization solutions within customer infrastructureRequirements:
Five or more years in AI infrastructure or systems engineeringProficiency in Python and scalable APIsExperience with Kubernetes, Helm, Ansible, and TerraformProduction experience shipping LLM serving systemsExperience with Ray, RayClusters, or KubeRayApply AI infrastructure, Kubernetes, Python, and systems expertise to improve reliable model serving at scale.
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📌 Senior Ai Infrastructure Engineer (Winnipeg)
🏢 Mission.dev
📍 Winnipeg