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# Production Engineer - AI Storage / HPC

- **Company:** Ark Infotech Spectrum
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Big Data, C++ (Programming Language), Cloud Computing, Computer Programming, Distributed File Systems, File Systems, Distributed Data Store, Python (Programming Language), Linux System Administration, Metadata, Posix, Cloud Platform System, High Performance Computing, Performance Testing, Concurrency, Caching, Pure Storage, Kubernetes, Low Latency, Deployment Automation, ZFS File System, Terraform, Golang
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/94cbc395-1ce9-458b-9fa7-0d764b34bc1f

## About the Role

· 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

## Description

· 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.