Storage Engineer

Job Purpose

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

Roles & Responsibilities

• 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

Certification- SNIA; vendor (NetApp/Dell/VAST) preferred.

RELEVANT EXPERIENCE

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

Tools / Tech

• Lustre/BeeGFS tooling, Ceph; GDS; Perf tools (fio, fs‑digests); Prometheus/Grafana; Ansible.