Role: Production Engineer – AI Storage / HPC
Location: Remote
Type: Full Time (FTE)
We are looking for a hands-on Production Engineer specializing in distributed storage and HPC/AI infrastructure. The role will focus on building, operating, and optimizing high-performance file and object storage supporting large-scale AI training environments.
Key Responsibilities
· 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.
· Partner with engineering, research, security, and storage-provider teams.
Must-Have Skills
· 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
