Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
20 hours ago
AWSGoogle CloudKubernetesPythonTerraform
Job Description
Position : Kubernetes Engineer With HPC Engineer
Location : Remote
Duration : Full Time
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.
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, 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.
Thanks & Regards
Rakesh Vangala
Team Lead
Burgeon IT Services LLC.
Email Id: OR
Website: , LinkedIn:
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