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# Kubernetes Platform Engineer Multi-Cloud & HPC

- **Company:** BURGEON IT SERVICES LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Continuous Integration, Software Debugging, Job Scheduling, Azure Machine Learning, Google Cloud, Kubernetes, Terraform, Oracle Cloud Infrastructure
- **Published:** September 23, 2026
- **Apply:** https://www.dice.com/job-detail/1eada08a-e8e0-4b87-aa74-ff4796e6bf20

## 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).

## Description

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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