HPC (High-Performance Computing) Consultant
- Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
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, provision HPC infrastructure through CI/CD, and schedule GPU compute for training and inference workloads. Define SLIs and SLOs, build monitoring and alerting, respond to incidents, write 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 hands-on Kubernetes operations at meaningful 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
- HPC Infrastructure
- Cluster Lifecycle Management
- Node Pool Management
- Kubernetes Networking
- Scheduler Debugging
- Terraform
- Infrastructure As Code
- AWS
- EC2
- S3
- EFS
- FSx For Lustre
- Python
- GPU Job Scheduling
- Monitoring And Alerting
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Software
- Consulting
Keywords
- Kubernetes
- EKS
- CKS
- GKE
- HPC
- High-Performance Computing
- AWS
- CoreWeave
- GCP
- OCI
- CI/CD
- Terraform
- Infrastructure As Code
- Python
- GPU Compute
- Job Scheduling
- Training Workloads
- Inference Workloads
- Node Pools
- Kubernetes Networking
- CNI
- Cluster Upgrades
- SLIs
- SLOs
- Monitoring
- Alerting
- Incident Response
- EC2
- S3
- EFS