Closed listing
HPC (High-Performance Computing) Consultant
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Responsibilities
Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers. You're responsible for cluster lifecycle, node pool management, networking policy, and maintaining stability during rapid growth.
Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, GCP, and OCI, with additional providers to be expanded in the near future.
Manage job scheduling to allocate GPU compute across training and inference workloads.
Define and maintain SLIs/SLOs. Build monitoring and alerting. Participate in severity escalation response and author post-incident reviews.
Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.
Requirements
4+ years in infrastructure engineering, cloud platforms, or HPC.
Kubernetes is the core requirement. You should have hands-on experience operating clusters at meaningful scale: node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets. Candidates whose K8s experience is limited to small or local environments are unlikely to be a fit.
Terraform proficiency. You'll write and review infrastructure-as-code daily.
Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre).
Python for tooling and automation.
More about this job
Responsibilities
Operate and scale Kubernetes platforms across cloud providers, manage HPC infrastructure provisioning through CI/CD, and schedule GPU resources for training and inference workloads. Define service-level indicators and objectives, build monitoring and alerting, respond to incidents, document post-incident reviews, and coordinate with networking, storage, security, and AI/ML teams.
Requirements
Requires at least four years of experience in infrastructure engineering, cloud platforms, or HPC, with substantial hands-on experience operating Kubernetes clusters at scale. Candidates should be proficient in Terraform, have working knowledge of AWS services including EC2, S3, EFS, and FSx for Lustre, and use Python for tooling and automation.
Skills
- Kubernetes
- Terraform
- AWS
- Python
- HPC Infrastructure
- Cluster Lifecycle Management
- Node Pool Management
- Job Scheduling
- GPU Computing
- Networking
- Monitoring and Alerting
- Incident Response
- Infrastructure as Code
- CI/CD
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Software
- Consulting
Keywords
- Kubernetes
- EKS
- CKS
- GKE
- Terraform
- AWS
- EC2
- S3
- EFS
- FSx for Lustre
- CoreWeave
- GCP
- OCI
- Python
- HPC
- CI/CD
- GPU Computing
- Job Scheduling
- Node Pools
- Cluster Lifecycle
- Networking Policies
- CNI Troubleshooting
- Scheduler Debugging
- Rolling Upgrades
- Infrastructure as Code
- SLIs
- SLOs
- Monitoring
- Alerting
- Incident Response