Closed listing
Kubernetes Engineer
- Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
• Strong 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
More about this job
Responsibilities
Design, deploy, and manage scalable compute platforms for AI/ML, simulation, and data-intensive workloads. Support high-performance computing infrastructure and workload scheduling across cloud and GPU environments.
Requirements
Requires 5+ years of Kubernetes or cloud infrastructure experience and 2+ years of high-performance computing or large-scale compute experience. Candidates should have hands-on experience with Kubernetes, Docker, Helm, workload schedulers, Linux, scripting, GPU infrastructure, CI/CD, monitoring, and cloud platforms.
Skills
- Kubernetes
- Cloud Infrastructure
- High-Performance Computing
- Docker
- Helm
- Slurm
- Volcano
- Linux Administration
- Python
- Bash
- NVIDIA GPU Infrastructure
- AI/ML Workloads
- CI/CD
- Monitoring
- Infrastructure Automation
- AWS EKS
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Science & Research
Keywords
- Kubernetes
- K8S
- High-Performance Computing
- HPC
- Cloud Infrastructure
- Docker
- Helm
- Slurm
- Volcano
- Linux Administration
- Python
- Bash
- NVIDIA GPUs
- AI/ML
- CI/CD
- Monitoring
- Infrastructure Automation
- AWS EKS
- Azure AKS
- GCP GKE
- AWS Trainium
- AWS Inferentia
- AWS Neuron
- RDMA
- InfiniBand
- Parallel Storage
- Scientific Computing
- Engineering Simulation
- Semiconductor Workloads