HPC Engineer - Storage at World Wide Technology Healthcare Solutions

, , India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

High-Performance Storage, Parallel Filesystems, Linux I/O Stack, RDMA Storage, Ansible Storage, Kubernetes Storage, GPUDirect, Object Storage, Data Migration, Storage Integration, Performance Benchmarking, Client Configuration, NFS-over-RDMA, CSI Drivers, NVMe-oF, Kernel Parameters

Industry

IT Services and IT Consulting

Description

Technical Competencies Essential Skills High-Performance Storage: * 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. Certifications Highly Desirable: * NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) * Vendor Certifications: * VAST Certified Administrator (VCP-AD1) * WEKA Technical Xpert Certification * 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. Qualifications Role Title: HPC Engineer – Storage Location: India (Must align with Client Time Zone) Employment Type: Full-Time About the Role The HPC Engineer - Storage acts as the primary execution engine for the data persistence layer that feeds the AI Factory. While the Domain Architect designs the tiering strategy and namespace layout, you are the "Builder" responsible for mounting filesystems, tuning client-side I/O, and ensuring data reaches the GPUs at line rate. You are a "doer" who is as comfortable compiling a custom kernel module for a parallel filesystem as you are debugging a stale NFS handle. As a System Integrator, we design and deliver bespoke, high-scale AI factories. In this role, you will move beyond standard enterprise NAS management to execute the deployment of ultra-high-performance parallel file systems for NVIDIA SuperPOD, NVIDIA BasePOD, and Cisco AI Factory environments. In this role, you will operate with a 100% focus on Delivery, executing the Low-Level Designs (LLD) assigned by your Squad Lead. You will own the "Storage" leg of the critical "Compute-Network-Storage" triad, ensuring that "I/O Wait" never becomes the bottleneck for training jobs. CRITICAL REQUIREMENT: This role typically operates on Shift Hours to align with the onshore client's time zone (e.g., early shifts for Australian clients, or split shifts for European clients). Key Responsibilities 1. Storage Integration & Client Configuration * Client Provisioning: Execute the deployment of high-performance storage clients (VAST, Weka, GPFS/Spectrum Scale, Lustre) on bare-metal DGX/HGX nodes using Ansible. * Protocol Configuration: Configure and tune RDMA-based protocols (NVMe-oF, NFS over RDMA, GPUDirect Storage) to bypass the CPU and deliver data directly to GPU memory. * Kubernetes Integration: Install and troubleshoot CSI (Container Storage Interface) drivers to ensure dynamic provisioning of Persistent Volumes (PVs) for AI workloads running in K8s. * Mount Management: Manage complex mount maps and automounter configurations to ensure consistent namespace views across thousands of compute nodes. 1. Validation & Performance Benchmarking * Throughput Testing: Execute standard I/O benchmarks to validate that the storage subsystem meets the "Gold Standard" read/write targets (e.g., 400GB/s read throughput). * Latency Tuning: Tune client-side kernel parameters (read-ahead buffers, queue depths, sysctl settings) to minimize latency for small-file random I/O patterns common in checkpointing. * Acceptance Reporting: Generate "As-Built" storage validation reports, documenting effective throughput and IOPS for client sign-off. 1. Operations & Support * Capacity & Quotas: Implement project-level quotas and monitor usage trends to prevent "Disk Full" outages on critical scratch filesystems. * Ticket Resolution: Handle L2 support tickets for storage issues, such as "Stale file handles," "Slow dataset loading," or "CSI Driver crashes." * Lifecycle Management: Execute non-disruptive client-side driver upgrades and firmware patches during maintenance windows.

Responsibilities

The HPC Engineer - Storage is responsible for executing the data persistence layer by mounting filesystems, tuning client-side I/O, and ensuring data reaches GPUs at line rate, acting as the primary execution engine for the AI Factory's storage needs. Key duties include deploying high-performance storage clients, configuring RDMA protocols, integrating Kubernetes storage via CSI drivers, and validating performance through rigorous benchmarking.