NVIDIA Storage Admin

PeopleStrong; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

PeopleStrong is seeking a BE/B-Tech with Computer Science or Electronics & Communications to lead a high-throughput storage infrastructure for large-scale AI training data, checkpoints, and inference artifacts. You will design/expand Lustre/BeeGFS and Object (S3) tiers aligned with AI dataflow and GPU clusters.

You will drive capacity planning, performance tuning, and automated snapshot/retention strategies, while leading P0/P1 incident response and conducting RCA for storage outages affecting

Qualifications

• BE/B-Tech or equivalent in Computer Science or Electronics & Communications.
• 7-12 years distributed storage experience.
• Hands-on with Lustre, BeeGFS, Ceph, NVMe-oF and S3 in GPU environments.
• Knowledge of multi-tenant encryption at rest and in transit, POSIX/ACLs and S3 policies.

Responsibilities

• Design/expand Lustre/BeeGFS and Object (S3) tiers for AI dataflow and GPU workloads.
• Capacity and performance planning; automate snapshots and checkpoint retention.
• Lead P0/P1 incident response for enterprise-scale AI storage infrastructure.
• Deep-dive troubleshooting for storage performance degradation and IO latency spikes.
• Root cause analysis for storage-related outages affecting GPU training and inference.
• Backup/DR planning and regular testing of restore, RPO/RTO.

Skills

Distributed storage

Incident management

Root cause analysis

Performance tuning

Capacity planning

Metadata handling

Education

BE/B-Tech or equivalent in Computer Science or Electronics & Communications

Tools

Lustre

BeeGFS

Ceph

NVMe-oF

S3

NFS

GPFS (IBM Spectrum Scale)

Job description

Bachelor of Technology (BTech)

Job Description

Job Purpose

Provide high?throughput, consistent storage tiers (Scratch/HPS + Object) for large?scale training data ingest, checkpoints, and inference artifacts.

• Implementation

Design/expand Lustre/BeeGFS HPS; NVMe?oF and Object (S3) tiers; align with AI dataflow and GDS.

Establish namespace, OST/MDT layout, stripe/RAID policies; tiering for warm/cold datasets.

• Operations

Capacity/performance planning; rebalance and failover testing; automate snapshots and checkpoint retention.

Proactive detection of hot spots and metadata contention; schema for small?file handling.

• Performance & Optimization

Tune RDMA paths, page cache, IO schedulers; validate end?to?end I/O profiles for LLM training/inference.

• Reliability & Incident

Lead P0/P1 critical incident response for enterprise-scale AI/ML storage infrastructure supporting NVIDIA GPU clusters, ensuring rapid service restoration and minimal impact to business-critical workloads.

Act as the storage SME during major incidents involving BeeGFS, Lustre, GPFS (IBM Spectrum Scale), NFS, NVMe-oF, Parallel File Systems, and Object Storage platforms.

Perform deep-dive troubleshooting and resolution of storage performance degradation, metadata bottlenecks, I/O latency spikes, filesystem corruption, capacity exhaustion, and hardware failures.

Conduct comprehensive Root Cause Analysis (RCA) for storage-related outages affecting GPU training, inferencing, AI pipelines, and high-performance computing (HPC) workloads.

Backup/DR for critical datasets; test restore time and RPO/RTO regularly; corruption and split?brain handling.

• Security & Compliance

Multi?tenant encryption at rest and in transit, POSIX/ACLs, S3 policies, retention/legal holds.

Experience & Educational Requirement

BE/B-Tech or equivalent with Computer Science or Electronics & Communication

RELEVANT EXPERIENCE

• 7-12 years distributed storage; hands?on with Lustre/BeeGFS/Ceph, NVMe?oF, and S3 in GPU environments.

Tools / Tech