Storage Engineer – AI Storage & HPC Infrastructure USA – Remote for fulltime

Job Title: Storage Engineer – AI Storage & HPC Infrastructure

Location: USA – Remote Occastional visit
Employment Type: Full-Time Only (No Contractors)
Please send your updated resume to pranayatburgeonitsdotcom

Job Description:

We are looking for an experienced Storage Engineer to design, build, manage, and optimize large-scale distributed storage platforms supporting AI/ML, High-Performance Computing (HPC), and large-scale data workloads.

Mandatory Skills & Experience:

• 5+ years of experience in Storage Engineering, Infrastructure Engineering, Platform Engineering, SRE, or HPC Operations.

• Strong hands-on Linux administration and troubleshooting.

• Experience with large-scale distributed storage systems and high-performance file systems.

• Strong understanding of file systems, storage protocols, networking, concurrency, and storage performance optimization.

• Experience troubleshooting storage performance, latency, throughput, and data-access issues.

• Hands-on programming or automation experience in at least one: Python, Go, C++, or Rust.

• Experience supporting highly available, large-scale production environments.

• Strong experience in automation, performance optimization, incident management, and root cause analysis.

Preferred Skills:

• Storage technologies: Lustre, ZFS/OpenZFS, VAST Data, Pure Storage, or Hammerspace.

• Kubernetes and container orchestration.

• AI/ML infrastructure, GPU clusters, or HPC environments.

• Terraform, Helm, and Kubernetes Operators.

• Object storage, S3-compatible storage, replication, and data migration.

• Monitoring, observability, benchmarking, and capacity planning.