Storage Engineer

Larsen & Toubro-Vyoma; Chennai District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Larsen & Toubro-Vyoma is seeking a storage architect/engineer to design and operate high-throughput, scalable HPC storage for AI workloads, including Lustre/BeeGFS, NVMe-oF and S3 object storage.

You will drive implementation, capacity planning, failover testing, automated snapshots and data retention policies across GPU clusters.

BE/B-Tech in CS/EC and 7–12 years of distributed storage experience with Lustre/BeeGFS/Ceph, NVMe-oF and object storage are required.

Qualifications

• BE/B-Tech or equivalent in Computer Science or Electronics & Communications.
• 7–12 years of distributed storage experience in GPU environments.

Responsibilities

• Design high-throughput, scalable storage tiers for AI data ingest, checkpoints, and inference artifacts.
• Lead implementation of Lustre/BeeGFS and object storage tiers (S3).
• Capacity planning, rebalance testing, and automated snapshots with retention policies.
• Lead P0/P1 incident response for enterprise-scale storage infrastructure supporting GPU clusters.
• Ensure security and compliance: encryption at rest/in transit, POSIX/ACLs, S3 policies.
• Backup/DR planning, regular restore tests, and RCA for storage outages.

Skills

Distributed storage

Lustre

BeeGFS

Ceph

NVMe-oF

S3 compatibility

Education

BE/B-Tech in Computer Science or Electronics & Communication

Tools

Lustre

BeeGFS

Ceph

NVMe-oF

S3

Job description

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

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