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# Kubernetes Engineer With HPC Engineer

- **Company:** BURGEON IT SERVICES LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** 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, Terraform, Oracle Cloud Infrastructure
- **Published:** September 29, 2026
- **Apply:** https://www.dice.com/job-detail/3607d053-f345-4026-ab53-c2d0ef7b410d

## About the Role

* 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.

## 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.


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