Production Engineer, AI Storage HPC Cluster

Location:

Remote – USA, Full Time

We are seeking an experienced Production Engineer to build, manage, and optimize distributed storage infrastructure supporting AI training and HPC clusters.

• Build and operate distributed file and object storage systems.
• Optimize storage performance, throughput, latency, and caching.
• Automate provisioning, scaling, upgrades, and recovery.
• Troubleshoot Linux, file system, and network performance issues.
• Ensure production reliability through monitoring, automation, and incident management.
• Manage data migration across clusters, regions, and cloud environments.

• Production experience with distributed storage or high-performance file systems.
• Strong Linux administration and troubleshooting.
• Programming/scripting in Python, Go, C++, or Rust.
• Experience with storage performance optimization and production reliability.

• Kubernetes, Terraform, Helm, and Infrastructure as Code.
• NFS, POSIX, Lustre, ZFS/OpenZFS.
• Hammerspace, VAST, Pure Storage, or similar platforms.
• HPC/AI storage, checkpointing, S3, and cloud storage.

Note:

Candidates from HPC storage, cloud file system, storage vendors, or storage-focused SRE backgrounds are encouraged. AI model development experience is not required.