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YTL AI Cloud

System Operations Engineer

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  • Posted 3 months ago

Job Description

Are you passionate about data center operations and cutting-edge AI infrastructure

Were looking for a DC System Operations Engineer to help us power the backbone of next-gen GPU clusters in our state-of-the-art AI Cloud facility.

In this role, youll be on the front line of maintaining the stability, performance, and security of our high-performance computing systems. From hands-on hardware replacement to system diagnostics and supporting GPU-based workloads, you&aposll be key in supporting the infrastructure behind advanced AI development.

Key Responsibilities

  • Oversee daily operations of GPU clusters and critical data center systems.
  • Perform preventative maintenance and hardware diagnostics for GPU/CPU/storage.
  • Monitor systems using tools like Prometheus & Grafana.
  • Collaborate with cross-functional teams to support scalable AI infrastructure.
  • Maintain documentation, enforce security standards, and troubleshoot issues.

Who We&aposre Looking For

  • Min. 2 years of experience in system operations, data centers, or cloud infrastructure.
  • Strong understanding of Linux fundamentals, Kubernetes environments, and server hardware.
  • Comfortable with hands-on IT hardware replacement and diagnostics.
  • Familiarity with monitoring tools and basic networking concepts.
  • Advantage: Experience with GPU servers, NVIDIA GPUs, high-performance computing, or bare metal infrastructure.

Preferred Background

  • Degree in Computer Science, Information Technology, Electrical Engineering, or equivalent experience.

Why Join Us

  • Be part of a high-growth AI infrastructure initiative under YTL.
  • Work in a fast-paced, forward-looking environment with state-of-the-art GPU clusters.
  • Opportunities for growth, upskilling, and cutting-edge tech exposure.

More Info

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About Company

Job ID: 124741233