Production Engineer - AI Storage / HPC

· Build and operate distributed file and object storage for AI/HPC workloads.

· Optimize storage performance across throughput, latency, metadata, caching, and networking.

· Automate provisioning, scaling, upgrades, and recovery using Kubernetes and Infrastructure-as-Code.

· Support large-scale data migration across clusters, regions, and cloud environments.

· Own storage reliability, monitoring, performance testing, incident response, and production troubleshooting.

· Strong hands-on experience with distributed storage, high-performance filesystems, or large-scale data infrastructure.

· Excellent Linux administration and production troubleshooting skills.

· Strong understanding of filesystem, networking, concurrency, and storage performance.

· Programming/automation experience in Python, Go, C++, or Rust.

· Proven experience owning storage performance or reliability improvements end to end.

Preferred Skills

· NFS, POSIX, Lustre, ZFS/OpenZFS, Hammerspace, VAST, or Pure Storage

· HPC storage / AI training I/O / checkpointing

· Kubernetes and cloud infrastructure

· Terraform, Helm, Kubernetes Operators

· S3/Object Storage

· Observability, benchmarking, metrics, and tracing

· Cross-region/cloud data movement and storage tiering