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5 дней назад

Data Center Technician (AI Infrastructure)

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

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TL;DR
Data Center Technician (AI Infrastructure) (Data Center Operations): Maintaining high-density GPU infrastructure through server installation, hardware break/fix, rack builds, and copper and fibre cabling with an accent on link-level troubleshooting and physical infrastructure. Focus on replacing critical server components, isolating network link failures, and independently handling 24/7 on-site shift operations.

Location: Hamburg, Germany. On-site, with 8-hour shift rotation covering 24/7 operations.

Company

hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform used by AI teams.

What you will do

  • Replace failed hardware components, including drives, fans, PSUs, motherboards, and CPUs.
  • Rack and stack servers, switches, and supporting equipment for deployments and expansions.
  • Install, route, and terminate copper and fibre cabling.
  • Troubleshoot link-level network faults through cable and transceiver testing and failure isolation.
  • Handle general site operations across hardware, cabling, and physical infrastructure.

Requirements

  • Hands-on data center operations experience or comparable operations experience in a critical environment.
  • Hardware competency in break/fix, component replacement, and rack and stack work.
  • Link-level networking experience with cable and fibre installation, fibre optics, and link troubleshooting; device configuration is not expected.
  • Operational discipline: stop and escalate when unsure rather than improvising.
  • Ability and willingness to work on-site in a shift rotation covering 24/7 operations.
  • Ability to work independently on routine tasks, recognize when to escalate, and operate comfortably with ambiguity and a broad scope.

Nice to have

  • Experience with liquid cooling, including DLC loops.
  • Hands-on exposure to enterprise GPU servers, including NVIDIA Ampere, Hopper, or Blackwell generations, or switch integration.
  • Experience across more than one operational environment.
  • Experience contributing to cluster deployments or data hall build-outs as a hands-on technician.

Culture & Benefits

  • Full-time, permanent employment.
  • Cash and equity compensation with local benefits.
  • Work alongside engineers, researchers, and partners across the global AI ecosystem.

Hiring process

  • Apply through the Careers page; applications sent by email are not accepted.
  • Applications are reviewed without an artificial deadline and hiring proceeds when a suitable candidate is found.

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