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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior