Job Description & How to Apply Below
Elevate your career with Capgemini Engineering as a Senior Dev Ops Engineer focused on ML infrastructure. This fully remote role across Canada emphasizes automation, reliability, and scalability.
We're searching for a highly skilled Senior Dev Ops 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.
Position Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×