CHENNAI · FULLTIME
Storage Engineer
Larsen & Toubro-Vyoma
Chennai · onsite · Posted 1d ago
Sourced from
Undisclosed7–12 yrsfulltimeChennai
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Section · 01
About this role
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.
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Section · 02
Skills
GDSAnsiblePrometheusGrafanaNetappnfsraidDellgpfsAWS S3object storagefioCephVASTlustreBeegfsparallel file systemsNVMe-oFIBM Spectrum ScaleNVIDIA GPUfs-digestsSNIA