Production Engineer, AI Storage for HPC Clusters L2

Wipro Ltd.; Dallas (Luzerne County); Remoto; USD 100.000 - 200.000; Tempo pieno

Descrizione del lavoro

Wipro is seeking a Production Engineer specializing in AI storage for HPC clusters. This fully remote role supports storage for AI training workloads, building scalable, reliable systems across cloud environments.

You will optimize I/O performance, automate provisioning with Kubernetes and IaC, and oversee data migrations with strong emphasis on data integrity and reliability. The role requires hands-on experience with high‑performance storage and a track record of end‑to‑end reliability

Competenze

• Production distributed storage experience.
• Strong Linux skills with debugging production systems.
• Proficient in Python, Go, C++, or Rust for automation.
• End-to-end ownership of reliability or performance improvements.

Mansioni

• Build and operate distributed storage for AI training.
• Diagnose and improve storage performance (throughput, latency).
• Automate storage lifecycle using Kubernetes and IaC.
• Migrate data across clusters, regions, clouds while preserving integrity.
• Maintain reliability with observability, alerting, testing, incident response.

Conoscenze

Distributed storage

Linux skills

Programming languages

End-to-end reliability

Strumenti

Kubernetes

Terraform

Helm

Observability tooling

Descrizione del lavoro

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.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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