Kubernetes (K8S) / HPC Engineer
Toronto, ONCapgemini
5+ YOECandidates need 5+ years in Kubernetes, cloud infrastructure, platform engineering or DevOps, with 2+ years supporting HPC environments. Strong hands-on skills with Kubernetes, Docker, Helm, Linux, Python or Bash, and at least one major cloud platform such as Azure AKS or GKE are required.
Kubernetes, Docker, Helm, Slurm, Volcano, NVIDIA GPU
AI Infrastructure Engineer
Toronto, ONCapgemini
5+ YOECandidates need 5+ years in cloud, data or AI infrastructure, hands-on AWS AI/ML experience, and knowledge of Kubernetes, Docker, Python and PyTorch. Trainium or Inferentia experience is highly preferred.
AWS Trainium, AWS Inferentia, AWS Neuron SDK, Kubernetes, Docker, PyTorch