Kubernetes / HPC Infrastructure Engineer
Braintree - PayPal
United States
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Continuous Integration
Python (Programming Language)
Scripting
Google Cloud
Multi-Cloud
Kubernetes
Machine Learning Operations
Terraform
+1 more
Oracle Cloud Infrastructure
Job description
Our customer operates large-scale GPU and HPC clusters across AWS, CoreWeave, Google Cloud Platform, and OCI, supporting AI/ML workloads and scaling rapidly., * Manage Kubernetes cluster lifecycle, upgrades, networking, and node pools
- Provision multi-cloud HPC infrastructure through CI/CD
- Support GPU scheduling for training and inference workloads
- Build monitoring, alerting, and reliability standards (SLIs/SLOs)
- Handle incident response and collaborate with Networking, Storage, Security, and AI/ML teams
Requirements
- Strong Kubernetes experience (EKS, GKE, CKS)
- Hands-on management of large production clusters
- Terraform (Infrastructure as Code)
- AWS: EC2, S3, EFS, FSx for Lustre
- Python automation/scripting
- HPC, GPU, or AI/ML infrastructure experience preferred, Kubernetes is the primary requirement. Candidates must have proven experience operating large-scale production environments, not just development or small clusters.
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