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 infrastructure Orchestrate deployments with infrastructure-as-code and containers Benchmark inference workloads and optimize hardware utilization Maintain monitoring systems for reliability Integrate optimization solutions within customer infrastructure Requirements:

Five or more years in AI infrastructure or systems engineering Proficiency in Python and scalable APIs Experience with Kubernetes, Helm, Ansible, and Terraform Production experience shipping LLM serving systems Experience with Ray, RayClusters, or KubeRay Apply AI infrastructure, Kubernetes, Python, and systems expertise to improve reliable model serving at scale.

📌 Senior AI Infrastructure Engineer (Montreal)
🏢 Mission.dev
📍 Montreal