Senior DevOps Engineer - ML Infrastructure (Remote Canada)
Capgemini Engineering
Full Job Description
Capgemini Engineering is seeking a Senior DevOps Engineer to build, operate, and evolve large-scale, production-grade infrastructure across cloud environments. You will focus on reliability, scalability, automation, and observable systems while collaborating with data scientists and software engineers.
The role emphasizes Kubernetes-based ML workloads, batch scheduling with Volcano/Kueue, and modern CI/CD pipelines.
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.