Technical Project Manager / IT Infrastructure Engineer

Posted 3 Days Ago
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Béthune, Pas-de-Calais, Hauts-de-France
In-Office
Mid level
Artificial Intelligence • Information Technology • Consulting
The Role
Manage IT infrastructure projects in data centers, resolving technical issues, maintaining documentation, and collaborating with stakeholders and teams.
Summary Generated by Built In

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

You’re welcome to work in Béthune.

Your responsibilities will include: 

  • Management and delivery of IT infrastructure projects, change requests in data centers

  • Proactively identify and manage resolution of technical and operational issues

  • Managing risks and dependencies in live environments

  • Maintain clear operational documentation, including plans, risk logs, and issue trackers.

  • Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

  • Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

  • Collaborate with cross-functional teams.

  • Engage directly with data center engineers, vendors, and operations teams.

  • Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

  • Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

  • Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

  • Hands on experience working with IT hardware in data centers.

  • Be comfortable in data center environments and during live operations.

  • Experience in project delivery, team management, cross team collaboration

  • Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

  • Ability to document processes, maintain tracking systems, and produce clear deployment reports.

  • Activity, responsibility and purposefulness

  • Ready for occasional business trips

It will be an added bonus if you have:

  • Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

  • Relevant technical certifications 

  • In depth technical knowledge of GPU servers, compute nodes, high-speed networking

What we offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Top Skills

Data Center Operations
Gpu Servers
High-Speed Networking
It Hardware
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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