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AI Storage Engineer

Damac · Thailand

About Damac

2 open jobs
100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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In its favour

  • Posted today
  • Still listed on the employer's own board

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AI Storage Engineer at Damac. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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