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Hardware Deployment Engineering Team Lead - EMEA

Nebius· Product & Infrastructure
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AmsterdamFull-timePosted 4w ago

About the role

Lead the Deployment Engineering team across EMEA to manage the bring-up, validation, troubleshooting, and handover of GPU, compute, and storage infrastructure for Nebius’ large-scale AI data centers. This hands-on technical leadership role combines people management, capacity planning, project coordination, and infrastructure engineering.

Responsibilities

  • Manage a team of Deployment Engineers across EMEA.
  • Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development.
  • Assign responsibilities and ensure clear ownership during deployments.
  • Identify skill gaps and build technical depth within the team.
  • Support hiring, onboarding, and performance management as the team grows.
  • Remove blockers for engineers and escalate organizational or technical issues when necessary.
  • Represent Deployment Engineering in project planning and synchronization meetings for new data center launches.
  • Understand upcoming deployment milestones and translate them into engineering resource requirements.
  • Plan engineer allocation across multiple parallel projects and deployment phases.
  • Ensure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance.
  • Identify resource conflicts and delivery risks early.
  • Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload.
  • Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level.
  • Support engineers with complex hardware, firmware, Linux, and systems troubleshooting.
  • Step into critical technical issues when deeper investigation is required.
  • Drive problems toward a clearly identified failure domain, root cause, or actionable escalation.
  • Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries.
  • Ensure deployment findings result in fixes, documentation, tooling, or process improvements.
  • Build repeatable deployment processes, standards, checklists, and troubleshooting practices.
  • Improve the quality and predictability of hardware testing and acceptance.
  • Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes.
  • Improve handover from Deployment Engineering to steady-state operations.
  • Help develop automation and tooling that reduce manual work and increase deployment scale.

Qualifications

  • Strong experience with server hardware, data center infrastructure, or large-scale systems deployment.
  • Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers.
  • Ability to plan resources and coordinate engineering work across several projects running in parallel.
  • Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood.
  • Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution.
  • Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors.
  • Comfortable working directly in data centers and traveling across EMEA when required.

Skills

Required:Team leadership and people managementResource planning and multi-project coordination

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Sep 23, 2026. Interested? Apply on the company site.
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Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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