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AI/HPC Storage Engineer

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Onsite

AI/HPC Storage Engineer

PT Nityo Infotech

AI/HPC Storage Engineer

Skills

Machine LearningAILinux

2 months ago

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Important information


Contract type:

Freelance / Contract

Salary:

IDR 144,000,000 – IDR 216,000,000 / year

Location:

Batang, Batang Regency, Central Java, Indonesia

Work mode:

Onsite

Published on:

4 September 2026

What they need


Storage Engineer – AI/HPC Infrastructure

Job Description

We are looking for a Storage Engineer – AI/HPC Infrastructure to provide operational and technical support for high-performance storage environments supporting AI and HPC workloads. The role will focus on WEKA and Dell PowerScale platforms, storage performance, data path validation, and incident troubleshooting.

Key Responsibilities

  • Provide operational support for WEKA and Dell PowerScale (Isilon) storage environments.
  • Perform regular storage health checks, connectivity validation, and resilience monitoring.
  • Validate end-to-end data paths for AI/HPC workloads across storage, network fabric, and compute layers.
  • Monitor and troubleshoot storage performance, including throughput, latency, connectivity, and capacity.
  • Troubleshoot storage-related incidents and identify performance bottlenecks across storage, network, and compute infrastructure.
  • Support Linux client integration, including mount-path and client connectivity troubleshooting.
  • Perform capacity monitoring and planning to ensure storage availability and scalability.
  • Analyze storage and data-service behavior in performance-sensitive AI/HPC environments.
  • Work with infrastructure and engineering teams to resolve complex storage and data path issues.

Requirements

  • Minimum 3–5 years of experience in Storage Engineering, Storage Administration, or related IT Infrastructure roles.
  • Hands-on experience with WEKA and/or Dell PowerScale (Isilon).
  • Strong understanding of scale-out storage platforms and distributed/parallel data access.
  • Experience supporting HPC, AI/ML, or other high-performance computing environments is highly preferred.
  • Strong knowledge of storage performance metrics, including throughput, latency, capacity, and connectivity.
  • Experience with Linux client integration and mount-path troubleshooting.
  • Ability to troubleshoot end-to-end infrastructure issues and determine whether bottlenecks originate from storage, network fabric, or compute layers.
  • Good understanding of file and data services operations, storage health, and resilience.
  • Strong analytical and troubleshooting skills.

Preferred Experience

  • Experience with AI/HPC infrastructure and high-performance storage.
  • Experience with WEKA Data Platform / WekaFS.
  • Experience with Dell PowerScale / Isilon.
  • Experience in enterprise or HPC storage engineering environments.

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