Назад
5 дней назад

Infrastructure Facilities Operations Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Infrastructure Facilities Operations Engineer (AI): Managing the operational performance and reliability of data center facilities in Batam with an accent on power, cooling, and M&E systems. Focus on ensuring high availability for high-density GPU workloads, optimizing PUE, and overseeing critical infrastructure maintenance.

Location: Must be based in Batam, Indonesia

Company

Nscale is a vertically integrated cloud provider building sustainable infrastructure specifically tailored for AI workloads.

What you will do

  • Oversee day-to-day facilities operations and ensure continuous availability of critical infrastructure, including UPS, generators, and chillers.
  • Drive improvements in uptime and energy efficiency while monitoring key metrics like PUE and power utilization.
  • Partner with engineering teams to support high-density GPU deployments and implement liquid cooling strategies.
  • Manage third-party facility vendors, oversee service contracts, and ensure strict SLA adherence.
  • Ensure compliance with local regulatory requirements, safety standards, and lead HSE adherence across sites.
  • Lead root cause analysis (RCA) for facility incidents and implement corrective actions to prevent recurrence.

Requirements

  • Bachelor's degree in Mechanical Engineering or Electrical Engineering.
  • 5+ years of experience in Data Centre Facilities operations or critical infrastructure management.
  • Experience supporting high-density AI/HPC workloads.
  • Deep technical knowledge of electrical and mechanical systems (UPS, generators, switchgear, liquid cooling).
  • Strong written and verbal English proficiency for documentation and stakeholder communication.
  • Strong communication skills in Bahasa Indonesia.

Culture & Benefits

  • Culture of relentless innovation, ownership, and accountability.
  • Collaborative environment based on openness, transparency, and mutual respect.
  • Opportunity to work at the forefront of AI infrastructure development.
  • Inclusive workplace that strongly encourages applications from diverse backgrounds.

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