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Capgemini

Vancouver / Global

Senior DevOps Engineer for ML Infrastructure

  • Remote

Job Description

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

• Strong 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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