AI Storage Engineer

AMK SOLUTIONS LTD; Jakarta Pusat; On-site; IDR 600,000,000 - 900,000,000; Full time

Job summary

AMK SOLUTIONS LTD is seeking an AI Storage Engineer to manage and optimize high-performance storage for large-scale AI training and GPU clusters in a data center. You will ensure fast data delivery, high availability, and zero storage bottlenecks for AI/ML workloads.

The role requires Linux expertise, automation skills, and experience with modern storage solutions. A degree in CS/IT/Engineering is preferred, and hands-on storage engineering is essential for this position.

Qualifications

• 3–5+ years managing enterprise storage in data centre environments.
• Experience with high-performance storage systems and modern storage protocols.

Responsibilities

• Storage Operations: Deploy and maintain high-speed AI storage systems.
• Performance Tuning: Optimize throughput and IOPS for GPU data feeds.
• Storage Networking: Manage InfiniBand, NVMe-oF, and RoCE networks.
• Capacity & Upgrades: Monitor usage and perform non-disruptive upgrades.
• Troubleshooting: Resolve faults and escalate to vendors when needed.

Skills

Linux administration

Python scripting

Automation

Education

Bachelor's degree in CS/IT/Engineering

Tools

WEKA

VAST Data

Pure Storage

NetApp

Ceph

NVMe-oF

NFS

S3

InfiniBand

Job description

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.

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 centre 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.