Senior Kubernetes / HPC Infrastructure Engineer

Senior Kubernetes / HPC Infrastructure Engineer

Location: Remote

Experience: 10+ years overall; 4+ years Kubernetes at scale

Bill Rate: DOE

Interview Process: Technical interview, client coding test, and rigorous client interview.

Job Description

We are seeking a Senior Kubernetes / HPC Infrastructure Engineer with strong hands-on experience managing large-scale Kubernetes clusters, cloud infrastructure, and GPU workloads across multi-cloud environments.

Key Responsibilities:

* Manage large-scale Kubernetes clusters, node pools, networking, upgrades, and troubleshooting.

* Provision HPC infrastructure through CI/CD pipelines across AWS, Google Cloud Platform, CoreWeave, and OCI.

* Manage GPU scheduling for AI/ML training and inference workloads.

* Develop infrastructure using Terraform and Python automation.

* Maintain monitoring, alerting, SLIs/SLOs, and incident response processes.

* Collaborate with Networking, Storage, Security, and AI/ML teams.

Required Skills:

* 10+ years in infrastructure engineering, cloud platforms, or HPC.

* 4+ years of hands-on Kubernetes experience at scale.

* Strong Terraform and Python skills.

* AWS experience with EC2, S3, EFS, and FSx for Lustre.

* Experience with monitoring, incident management, and production troubleshooting.

* GPU/HPC scheduling and multi-cloud Kubernetes experience are highly preferred.