" \u003cdiv class=\"ja-job-details\"\u003e \u003ch2 class=\"title\"\u003eDomain Architect - AI Storage- 12M CONTRACT - PERM\u003c/h2\u003e \u003cdiv class=\"meta\"\u003e \u003cul class=\"classifications\"\u003e \u003cli data-id=\"10256\"\u003e Information \u0026amp; Communication Technology \u003c/li\u003e \u003cli data-id=\"10257\"\u003e Architects \u003c/li\u003e \u003cli data-id=\"10258\"\u003e New South Wales \u003c/li\u003e \u003cli data-id=\"10260\"\u003e Sydney \u003c/li\u003e \u003cli data-id=\"10259\"\u003e Contract \u003c/li\u003e \u003c/ul\u003e \u003cp class=\"date-posted\"\u003e 12/10/2026 \u003c/p\u003e \u003c/div\u003e \u003cul class=\"bullet-points\"\u003e \u003cli\u003eDesign Parallel File Systems \u0026amp; HPC Storage Solutions - AI Data Centre\u003c/li\u003e \u003cli\u003eProvision Storage Clusters for NVIDIA GPU Infrastructure and Cisco AI Factory\u003c/li\u003e \u003cli\u003eSydney, 12M Contract - Perm. Attractive Daily Rates, Opportunity for Learning\u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"description\"\u003e \u003cstrong\u003eACT NOW\u003c/strong\u003e: Opportunity to join a market leading System Integrator delivering Multi-Billion-Dollar AI Data Centre Upgrade Programs. Work with the New and Emerging technology such as NVIDIA in an Org organisation at the forefront of delivering AI Data Centre Upgrade Programs, Delivering GPUs at scale.\u003cbr\u003e\u003cbr\u003eWe have a (12-Month Contract - Permanent)\u0026nbsp; \u003cstrong\u003eDomain Architect \u0026ndash; AI Storage\u003c/strong\u003e\u0026nbsp;role available.\u003cbr\u003e\u003cbr\u003eYou will design, deploy and optimise high-performance storage infrastructure for large-scale AI factories, GPU clusters and High-Performance Computing (HPC) environments.\u003cbr\u003e\u003cbr\u003e This is a hands-on architecture and delivery role focused on \u003cstrong\u003eHPC storage, GPU data platforms, parallel file systems and high-throughput storage fabrics\u003c/strong\u003e. \u003cbr\u003e\u003cbr\u003eYou will lead the storage component of NVIDIA SuperPOD, BasePOD and Cisco AI Factory deployments, ensuring storage infrastructure can feed large GPU clusters at scale and support demanding AI training, inference and enterprise workloads.\u003cbr\u003e\u003cbr\u003e You will define repeatable storage architectures and technical standards for NVIDIA Cloud Provider (NCP) and private enterprise AI cloud environments, working closely with compute and network architects to deliver fully integrated AI infrastructure.\u003cbr\u003e\u003cbr\u003e \u003cstrong\u003eKey responsibilities\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eDesign, deploy and optimise \u003cstrong\u003eHPC and AI storage infrastructure\u003c/strong\u003e for GPU clusters and large-scale AI factories.\u003c/li\u003e \u003cli\u003eLead implementation of high-performance parallel file systems and storage platforms, including \u003cstrong\u003eWEKA, DDN/Lustre, VAST Data, BeeGFS, GPFS and Pure Storage\u003c/strong\u003e.\u003c/li\u003e \u003cli\u003eArchitect high-throughput storage fabrics capable of supporting AI training, inference, checkpointing and large-scale dataset processing.\u003c/li\u003e \u003cli\u003eImplement and optimise \u003cstrong\u003eNVMe-over-Fabrics (NVMe-oF), NVIDIA GPUDirect Storage (GDS), NFS over RDMA and S3-compatible object storage\u003c/strong\u003e.\u003c/li\u003e \u003cli\u003eIntegrate storage with bare-metal GPU servers, Linux compute nodes, Kubernetes and Red Hat OpenShift.\u003c/li\u003e \u003cli\u003eConfigure Container Storage Interface (CSI) drivers, storage classes and persistent storage for AI workloads.\u003c/li\u003e \u003cli\u003eBenchmark and troubleshoot storage performance using tools such as IOR, FIO and mdtest, identifying I/O bottlenecks that impact GPU utilisation.\u003c/li\u003e \u003cli\u003eDevelop automated deployment and configuration processes using Python, Ansible or Terraform.\u003c/li\u003e \u003cli\u003eDesign data lifecycle and tiering strategies across high-performance NVMe, flash and object storage.\u003c/li\u003e \u003cli\u003eCollaborate with compute and network architects to ensure end-to-end performance across the Compute\u0026ndash;Network\u0026ndash;Storage architecture.\u003c/li\u003e \u003cli\u003eLead technical implementation, performance tuning, testing and validation of storage solutions.\u003c/li\u003e \u003c/ul\u003e \u003cstrong\u003eEssential skills and experience\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eExtensive experience designing and delivering \u003cstrong\u003ehigh-performance storage solutions\u003c/strong\u003e across HPC, AI, GPU or large-scale enterprise environments.\u003c/li\u003e \u003cli\u003eStrong hands-on knowledge of parallel file systems such as WEKA, Lustre, BeeGFS or GPFS.\u003c/li\u003e \u003cli\u003eExperience architecting storage for GPU clusters, AI training and/or inference workloads.\u003c/li\u003e \u003cli\u003eDeep understanding of storage performance, throughput, IOPS, metadata performance and Linux I/O optimisation.\u003c/li\u003e \u003cli\u003eKnowledge of NVMe-oF, RDMA-based storage and high-speed data access architectures.\u003c/li\u003e \u003cli\u003eExperience with object storage and S3-compatible protocols for datasets, model checkpoints and archival workloads.\u003c/li\u003e \u003cli\u003eStrong Linux systems knowledge, including file systems, block devices, client configuration and performance troubleshooting.\u003c/li\u003e \u003cli\u003eAutomation experience using Python, Ansible or Terraform.\u003c/li\u003e \u003cli\u003eAbility to design scalable storage architectures and translate technical requirements into reliable, production-ready deployments.\u003c/li\u003e \u003c/ul\u003e \u003cstrong\u003eDesirable experience\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eExperience deploying storage for \u003cstrong\u003eNVIDIA SuperPOD, BasePOD, DGX/HGX GPU clusters or Cisco AI Factory\u003c/strong\u003e environments.\u003c/li\u003e \u003cli\u003eHands-on experience with NVIDIA GPUDirect Storage (GDS).\u003c/li\u003e \u003cli\u003eIntegration with Kubernetes, Red Hat OpenShift and CSI storage drivers.\u003c/li\u003e \u003cli\u003eUnderstanding of InfiniBand and RoCEv2 networking from a storage performance perspective.\u003c/li\u003e \u003c/ul\u003e \u003cbr\u003eThis is a great opportunity -\u0026nbsp;To apply, please submit your CV via the portal by clicking\u0026nbsp;the\u0026nbsp;\u003cstrong\u003eAPPLY NOW\u003c/strong\u003e\u0026nbsp;button below.\u003cbr\u003e\u003cbr\u003eYou can also contact Charlie\u0026nbsp;directly at:\u0026nbsp;\u003cstrong\u003echarlie@nbridge.com.au\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003eCharlie Molino\u003cstrong\u003e\u003cbr\u003e0450 253 077\u003c/strong\u003e\u003cbr\u003eNorthbridge IT Recruitment\u003cbr\u003e\u003cbr\u003eFor this and other opportunities please visit:\u0026nbsp;\u003cbr\u003ewww.northbridgerecruitment.com/content/OpenVacancies \u003c/div\u003e \u003cdiv class=\"apply\"\u003e \u003ca class=\"back-link\" href=\"#\" title=\"Back to search results\"\u003eBack to search results\u003c/a\u003e \u003cinput type=\"button\" class=\"ja-button\" data-job-id=\"4477439\" value=\"Apply Now\" title=\"Apply Now\" /\u003e \u003c/div\u003e \u003c/div\u003e "