jobapplierAI Storage Infrastructure Engineer
- United States
- Mid Level
- 7+ years
- Posted
Skills
Required
- Linux
- NFS
- Storage systems
- K8s
- Weka
- DDN
- PowerScale
- SRE / hardware/storage infrastructure operations
Preferred
- GPU-accelerated compute
- AI platforms
- high-performance storage
- NFS-based
- infrastructure-as-code
- Terraform / OpenTofu
- GitOps
- ArgoCD / Flux
Join our team as an AI Storage Infrastructure Engineer, where you will deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will be responsible for the storage layer where Kubernetes meets bare metal, tuning it to keep data flowing to GPU workloads at scale. The ideal candidate will have extensive experience in Linux and Kubernetes storage fundamentals, building and operating distributed production storage systems, and integrating with high-performance storage solutions.
Responsibilities
- Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms, focusing on NFS-based high-performance storage.
- Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux).
- Build monitoring, alerting, and observability for storage performance, capacity, and health, and diagnose and resolve performance, reliability, and scaling issues.
Requirements
- 7+ years of experience in Linux and K8s storage fundamentals (NFS, CSI)
- 5+ years of building/operating distributed production Storage systems at scale
- 1+ years of experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale)
- 7+ years of experience in SRE or hardware/storage infrastructure operations