AI Storage Engineer
3 days ago
Tangerang, Banten, Indonesia
AMK SOLUTIONS LTD
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The AI Storage Engineer manages and optimizes high-performance storage systems supporting large-scale AI training and GPU clusters in a data center environment. This role ensures fast data delivery, high availability, and zero storage bottlenecks for AI/ML workloads.
Key Responsibilities
• Storage Operations: Deploy and maintain high-speed AI storage systems (parallel file systems, NVMe storage, and object storage).
• Performance Tuning: Optimize storage throughput and IOPS to keep GPU clusters constantly fed with data without latency.
• Storage Networking: Maintain high-speed storage networks, including InfiniBand, NVMe-oF, and RoCE.
• Capacity & Upgrades: Monitor storage usage, perform non-disruptive capacity expansions, and manage firmware updates.
• Troubleshooting: Resolve storage faults, disk failures, and performance issues, escalating to vendors when needed. Requirements
•
Experience:
3–5+ years managing enterprise storage in data center environments.
• Technical
Skills:
Experience with high-performance storage (WEKA, VAST Data, Pure Storage, NetApp, or Ceph) and storage protocols (NVMe-oF, NFS, S3, InfiniBand).
• AI Knowledge: Familiarity with GPU data ingestion and GPUDirect Storage (GDS).
• OS & Scripting: Solid Linux skills with basic automation (Python, Bash, or Ansible).
•
Education:
Degree or Diploma in Computer Science, IT, or Engineering.
Key Responsibilities
• Storage Operations: Deploy and maintain high-speed AI storage systems (parallel file systems, NVMe storage, and object storage).
• Performance Tuning: Optimize storage throughput and IOPS to keep GPU clusters constantly fed with data without latency.
• Storage Networking: Maintain high-speed storage networks, including InfiniBand, NVMe-oF, and RoCE.
• Capacity & Upgrades: Monitor storage usage, perform non-disruptive capacity expansions, and manage firmware updates.
• Troubleshooting: Resolve storage faults, disk failures, and performance issues, escalating to vendors when needed. Requirements
•
Experience:
3–5+ years managing enterprise storage in data center environments.
• Technical
Skills:
Experience with high-performance storage (WEKA, VAST Data, Pure Storage, NetApp, or Ceph) and storage protocols (NVMe-oF, NFS, S3, InfiniBand).
• AI Knowledge: Familiarity with GPU data ingestion and GPUDirect Storage (GDS).
• OS & Scripting: Solid Linux skills with basic automation (Python, Bash, or Ansible).
•
Education:
Degree or Diploma in Computer Science, IT, or Engineering.