- Parallel Filesystems: Hands-on operational experience with at least one major AI storage platform: VAST Data, Weka.io, DDN Lustre (Exascaler), or IBM GPFS (Spectrum Scale).
- Linux I/O Stack: Deep understanding of the Linux VFS (Virtual File System), block devices, and how to debug I/O performance using tools like iostat, iotop, and strace.
- RDMA Storage: Experience configuring NVMe-over-Fabrics (NVMe-oF) or NFS-over-RDMA, understanding the dependency on the underlying InfiniBand/RoCE network.
Automation & Containerisation:
- Ansible Storage: Proficiency in writing Ansible playbooks to automate the installation of storage clients and configuration of mount points.
- Kubernetes Storage: Understanding of StorageClasses, PVCs, and how to debug CSI Driver pods (checking logs for mount failures).
- GPUDirect: Conceptual understanding of NVIDIA GPUDirect Storage (GDS) and the ability to verify if GDS is active.
Desirable Experience
- Vendor Specifics: Deep certification or experience with Pure Storage (FlashBlade)
or NetApp ONTAP AI configurations.
- Object Storage: Experience interacting with S3-compatible object stores via CLI for model weight retrieval.
- Data Migration: Experience using tools like fpsync or rclone to move petabyte-scale datasets between tiers.
- Red Hat Certified Specialist in Storage Administration
Success Metrics (KPIs)
- I/O Performance: Achieving >95% of the theoretical line-rate throughput on IOR/FIO benchmarks for provisioned clients.
- Mount Stability: Zero "Stale File Handles" or disconnected mounts across the cluster during the 72-hour burn-in period.
- Ticket Velocity: Consistently meeting SLAs for storage-related support tickets.
📌 HPC Engineer (Storage) (India)
🏢 World Wide Technology Holding
📍 India
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