AI Storage Engineer

Architecture & Design

• Architect end-to-end storage solutions for large-scale AI training and inference clusters (NVIDIA DGX/HGX, SuperPOD, B300, GB300)
• Design tiered data pipelines: ingest → NVMe hot tier → warm object → cold/archive
• Integrate storage with GPUDirect Storage (GDS), NFS over RDMA, and InfiniBand/RoCE fabrics
• Produce HLDs, LLDs, BoMs and technical documentation to enterprise standards

Deployment & Operations

• Deploy and manage parallel/distributed file systems - WEKA, VAST Data, DDN EXAScaler, Scale (GPFS), Lustre, BeeGFS
• Configure multi-tenant storage for sovereign cloud and managed AI services
• Implement checkpointing, snapshot, replication and DR strategies for AI workloads

Performance & Benchmarking

• Benchmark storage throughput, IOPS and latency using IO500, MLPerf Storage and fio
• Tune systems for LLM training checkpoints, RAG pipelines and inference serving
• Capacity planning, growth modelling and cost-per-TB optimisation

Vendor & Stakeholder Management

• Lead vendor evaluations, PoCs and commercial negotiations with storage OEMs
• Partner with NVIDIA, VAST, WEKA, DDN, Pure Storage and Dell technical teams
• Present designs and progress to internal leadership and enterprise customers

REQUIRED QUALIFICATIONS

• Experience: 7+ years in enterprise storage, with a minimum of 2 years in AI, HPC or GPU-cluster environments
• File Systems: Deep expertise in one or more of WEKA, VAST Data, DDN, GPFS, Lustre, BeeGFS
• Protocols: GPUDirect Storage, NFS over RDMA, SMB, S3, NVMe-oF
• Networking: Working knowledge of InfiniBand (NDR/HDR) and RoCEv2 storage fabrics
• Platforms: Hands-on with NVIDIA reference architectures (DGX, HGX, SuperPOD, BasePOD)
• Automation: Linux administration, Python/Bash scripting, Ansible or Terraform
• Soft Skills: Strong documentation, stakeholder communication and vendor management

PREFERRED QUALIFICATIONS

• Vendor certifications from VAST DATA, WEKA, DDN, or Pure Storage
• NVIDIA-Certified Associate - AI Infrastructure & Operations
• Experience with multi-tenant sovereign cloud or AI-as-a-Service platforms
• Exposure to Kubernetes CSI drivers, Slurm, and Run:ai orchestration
• Familiarity with data governance, encryption at rest, and cross-site replication
• Prior experience deploying at Tier III+ data centres in the Middle East or APAC