V

Verda

Full-stack AI cloud with GPU compute

Senior Data Center Technician

IT OperationsUpdated on Nov 10
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • At least 3 years of progressive data center or IT infrastructure experience, including significant hands-on hardware work.
  • Strong hardware competency in break/fix, component replacement (drives, fans, power supply units, motherboards, and central processing units), and rack-and-stack work to a high quality standard.
  • Strong diagnostic skills, including isolating faults across compute, cabling, and network links without a script.
  • Hands-on copper and fibre cabling and fibre optics experience, with a solid understanding of how a network link works; device configuration is not expected.
  • Ability and willingness to work on-site.
  • Comfort working with ambiguity and a broad scope of work.

Responsibilities

  • Install, configure, and maintain GPU servers, storage systems, networking equipment, and structured cabling, including high-density and liquid-cooled deployments.
  • Diagnose and repair complex hardware faults on enterprise GPU servers, covering component-level troubleshooting, return merchandise authorization handling, and root-cause analysis.
  • Perform rack-and-stack, copper and fibre cabling, and hardware refresh work to a high quality standard.
  • Troubleshoot link-level network faults, from cable and transceiver testing through to isolating the failure, including fibre optics work for switch integration.
  • Monitor data center environmental conditions, including temperature, humidity, and power, and respond to alerts during shifts.
  • Contribute hands-on to build-outs, migrations, and refresh projects as the site grows.
  • Write and improve the standard operating procedures and procedures the site runs on, and mentor junior and mid-level technicians on the shift team.

Desired Qualifications

  • Experience with liquid cooling, including direct liquid cooling loops and maintenance of liquid cooling solutions; the employer values this as highly as GPU experience.
  • Hands-on experience with enterprise GPU servers (NVIDIA Ampere, Hopper, or Blackwell generations) and switch integration work.
  • Experience with large cluster deployments or data hall build-outs as a hands-on technician.

About the Company

Verda

Full-stack AI cloud with GPU compute

Verda provides a full-stack AI cloud infrastructure in Europe and beyond, combining the physical data centers and hardware with a cloud platform and AI research capabilities. It offers on-demand and reserved GPU instances, serverless containers, and managed inference on vertically integrated European infrastructure powered by renewable energy. The company serves AI and software teams who need self-service compute without long sales cycles. Verda is an NVIDIA Preferred Partner and operates across Europe, the UK, the US, and Asia. Its goal is to multiply compute capacity, deepen inference and platform services, and expand internationally while maintaining a strong growth trajectory.

Company size
201-500
Company stage
Series B
Total funding
$513.7M
Headquarters
Helsinki, Finland
Founded
2020

Recently Posted Jobs

Explore more opportunities at Verda

See more jobs