Elevate your career with Capgemini Engineering as a Senior DevOps Engineer focused on ML infrastructure. This fully remote role across Canada emphasizes automation, reliability, and scalability.

We're searching for a highly skilled Senior DevOps Engineer to join our team at Capgemini Engineering. This role is crucial in managing cloud-native infrastructure for large-scale ML workloads, working closely with software engineers and infrastructure specialists. Your contributions will enhance operational excellence while driving innovation through automation and AI-assisted operations.

Key Responsibilities:
• Develop and manage cloud-native infrastructure for ML workloads
• Implement scheduling solutions like Volcano and Kueue
• Build and maintain CI/CD pipelines for ML services




• Optimize Kubernetes environments on AWS EKS
• Troubleshoot complex distributed systems and performance issues

Requirements:
• Strong experience with Kubernetes and workload orchestration
• Expertise in Python or Golang programming
• Familiarity with Infrastructure-as-Code tools like Terraform
• Proven skills in CI/CD pipeline design and maintenance
• Robust Linux systems administration abilities

Become an essential part of Capgemini’s team and help shape the future of machine learning infrastructure.
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📌 Senior DevOps Engineer for ML Infrastructure (Quebec City)
🏢 Capgemini
📍 Quebec City