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.

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