Remote Production Engineer: AI Storage for HPC Clusters

Wipro; Dallas (TX); Remote; USD 100,000 - 200,000; Full time

Job summary

Wipro Limited is seeking a Production Engineer for AI Storage for HPC Clusters to design, build, and operate scalable storage for AI training workloads. The role emphasizes reliability, performance, and automation across distributed storage systems and cloud environments.

You will work on integrating high‑performance filesystems and object storage, optimize I/O latency, and automate provisioning with Kubernetes and IaC to support researchers and climate across regions.

Qualifications

• Built or operated production distributed storage, high-performance filesystems, or large-scale data infrastructure.
• Strong Linux skills; able to debug filesystem, network, and concurrency issues in production.
• Writes maintainable software or automation in Python, Go, C++, or Rust.
• Has owned a reliability or performance improvement end-to-end, from spotting the problem through deployment and verification.

Responsibilities

• Build and operate distributed file and object storage for AI training: shared researcher filesystems, training datasets, and model checkpoints.
• Diagnose and improve end-to-end storage performance (metadata, throughput, latency, caching, network) so storage I/O stops stalling training.
• Automate the storage lifecycle (provisioning, scaling, upgrades, recovery) using Kubernetes and infrastructure-as-code.
• Move and migrate data across clusters, regions, and clouds without losing integrity or slowing researchers down.
• Keep it reliable through observability, alerting, testing, safe rollouts, and incident response, partnering with research, security, and storage-provider teams.

Skills

Distributed storage

Linux skills

Python

Go

C++

Rust

Tools

Kubernetes

Terraform

Helm

S3 storage

Job description

Wipro Limited is seeking a Production Engineer for AI Storage for HPC Clusters to design, build, and operate scalable storage for AI training workloads. The role emphasizes reliability, performance, and automation across distributed storage systems and cloud environments.

You will work on integrating high‑performance filesystems and object storage, optimize I/O latency, and automate provisioning with Kubernetes and IaC to support researchers and climate across regions.