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Infrastructure Operations Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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 Operations Lead (AI): Managing and optimizing high-performance AI data center infrastructure with an accent on GPU/HPC systems, power, and cooling. Focus on ensuring 24/7 operational reliability, leading technical teams, and maintaining strict client SLAs/KPIs.

Location: Must be based on-site in Batam, Indonesia

Company

Nscale is a GPU cloud provider engineered for AI, delivering high-performance infrastructure to AI start-ups and large enterprises.

What you will do

  • Maintain overall accountability for all devices, systems, and infrastructure within the AI data center.
  • Ensure 24/7 operational reliability and performance for high-performance AI workloads.
  • Lead, mentor, and manage shift schedules for a team of engineers and technicians.
  • Serve as the primary point of contact for clients, reporting on site SLAs and KPIs.
  • Oversee the installation, configuration, and maintenance of HPC and GPU systems.
  • Manage spare parts inventory and collaborate with vendors for procurement and repairs.

Requirements

  • 5+ years of experience managing data centers, specifically in HPC and GPU environments.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven leadership skills with experience developing technical teams.
  • Strong understanding of power, cooling, and environmental systems in data centers.
  • Strong written and verbal English skills.
  • Strong communication skills in Bahasa Indonesia.

Nice to have

  • Certifications in data center management (e.g., CDCP, CDCS).
  • Hands-on experience with NVIDIA GPUs, CUDA, and AI frameworks.
  • Familiarity with hybrid cloud/HPC environments.

Culture & Benefits

  • Opportunity to shape operating standards for a next-generation AI cloud platform.
  • Real ownership and impact on scaling sustainable, high-performance data center operations.
  • Work environment focused on relentless innovation, accountability, and transparency.
  • Commitment to diversity, equity, and inclusion.

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