Kubernetes Engineer With HPC Engineer

BURGEON IT SERVICES LLC

United States

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Continuous Integration Software Debugging Job Scheduling Python (Programming Language) Azure Machine Learning Google Cloud Multi-Cloud Kubernetes

+2 more

Terraform Oracle Cloud Infrastructure

Job description

This role is Kubernetes-heavy. You’ll operate multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours. The clusters are large enough that novel failure modes are routine., * 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, Google Cloud Platform, 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.