Remote Senior DevOps Engineer – Kubernetes & ML Infra
Capgemini Engineering
Full Job Description
Capgemini Engineering seeks a Senior DevOps Engineer to build, operate, and evolve large-scale infrastructure for ML workloads on Kubernetes. You will implement batch schedulers, maintain CI/CD pipelines, and optimize production workloads across AWS EKS and other clouds.
You will collaborate with data scientists, ML engineers, and software engineers to productionize ML solutions, ensuring observability, security, and reliability across distributed systems.
Land Acknowledgement
The Linux Association of Canada respectfully acknowledges that our home in Saskatoon, Saskatchewan, is located on Treaty 6 Territory and the Homeland of the Métis. These lands have been home to First Nations peoples for thousands of years, including the Cree, Dakota, Nakota, and Saulteaux, who maintain deep and enduring relationships with the land and the South Saskatchewan River.
We are grateful to the First Nations and Métis peoples who have cared for these lands for generations. We honour their enduring relationship with the land, their cultures, histories, and contributions, and we offer our respect and sincere gratitude as we live, work, learn, and build community here.