We are looking for an experienced Kubernetes (K8S) / HPC Engineer to design, deploy, and manage scalable compute platforms supporting AI/ML, simulation, and data-intensive workloads.
? Key Skills:
- 5+ years of Kubernetes / Cloud Infrastructure experience
- 2+ years of HPC / large-scale compute experience
- Strong hands-on experience with Kubernetes, Docker & Helm
- Experience with Slurm / Volcano workload schedulers
- Robust Linux administration and Python/Bash scripting
- Experience with NVIDIA GPU infrastructure & AI/ML workloads
- CI/CD, monitoring & infrastructure automation
- Experience with AWS EKS, Azure AKS, or GCP GKE
- AWS Trainium / Inferentia / Neuron
⭐ Nice to Have:
- RDMA / InfiniBand
- Parallel storage systems
- Large-scale AI/ML or scientific computing environments
- Engineering simulation/semiconductor workloads
📌 Kubernetes Engineer (Canada)
🏢 Aptino
📍 Canada