Production Engineer, AI Storage for HPC Clusters L2

Wipro; Dallas (TX); Remoto; USD 100.000 - 200.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Distributed storage

Linux skills

Python

Go

C++

Rust

Strumenti

Kubernetes

Terraform

Helm

S3 storage

Descrizione del lavoro

Production Engineer, AI Storage for HPC Clusters L2 Job Description Job Title: Production Engineer, AI Storage for HPC Clusters L2 City: Dallas State/Province: Texas Posting Start Date: 11/6/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Information at a Glance

Job Description

Production Engineer, AI Storage for HPC Clusters

Quantity: 2–5 openings
Location: United States Candidates Only!
Work Arrangement: 100% REMOTE

About the Role

The customer's Cloud Foundation AI Services team builds and operates the storage that lets AI researchers train models reliably and efficiently across cloud environments.

We connect high-performance filesystems, object storage, and data-management services to AI compute, so training datasets and model checkpoints are fast and available wherever they are needed.

We are looking for a hands-on storage system engineer who can turn demanding AI workloads into reliable, scalable infrastructure. The work spans software development, performance analysis, automation, and production ownership.

What You'll Do

• 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.

Must-Haves

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

Nice to Have

• Experience with cloud infrastructure and Kubernetes, or a comparable large-scale orchestration environment.
• Depth in NFS/POSIX and distributed-filesystem internals: metadata, caching, consistency, availability, and recovery.
• Hands-on with one or more distributed or network storage systems such as Hammerspace, Lustre, ZFS/OpenZFS, VAST, or Pure Storage. Depth in comparable systems counts; you do not need every product named here.
• AI or HPC storage patterns: high-throughput data loading, checkpoint writes and restores, metadata-heavy access, and staging data for accelerator clusters.
• Infrastructure-as-code and observability tooling (Terraform, Helm, Kubernetes operators; metrics, tracing, benchmarking), and object/S3 storage with tiering and cross-region movement.

Experience: >10 YEARS.The expected compensation for this role ranges from $100,000 to $200,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

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