Hardware Deployment Engineering Team Lead

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

Nebius is building and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure.

We are looking for a Hardware Deployment Engineering Team Lead to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering.

You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment.

This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required

Your responsibilities will include: 

Lead the Deployment Engineering team

• 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 make sure engineers have 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.

Own deployment engineering planning

• 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.