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:

- Solid 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.

📌 Senior DevOps Engineer for ML Infrastructure (Edmonton)
🏢 Capgemini
📍 Edmonton