L3 Support Engineer (SOPs and Runbooks)

Location: Amsterdam, Netherlands; willingness to travel to datacenters is required.

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.

What you will do

• Own the L3 documentation standard, including templates, quality criteria, ownership, approval workflows, and review cycles.
• Build and maintain SOPs, runbooks, troubleshooting guides, and error-code libraries for GPU platforms, server hardware, firmware, out-of-band management, and Linux diagnostics.
• Join L3 and R&D investigations, capture symptoms, root causes, evidence, resolutions, and preventive actions, then convert findings into repeatable procedures.
• Validate procedures end to end with L1 and L2 technicians and improve documentation when escalations recur.
• Prepare documentation packages for new hardware platforms before production support and visit datacenters to observe procedures and capture incident knowledge.

Requirements

• Hands-on experience with datacenter servers and Linux troubleshooting.
• Working knowledge of server hardware, BIOS/BMC firmware, and out-of-band management such as IPMI or Redfish.
• Demonstrated experience writing runbooks, SOPs, or troubleshooting guides used by operations teams.
• Strong working knowledge of Atlassian Confluence.
• Clear, structured written English for readers with different technical levels; fluent written and spoken English is required.
• Applicants must be authorized to work in the country in which they apply; willingness to travel is required.

Nice to have

• Experience with GPU server tooling such as nvidia-smi, dcgmi, and Linux log correlation.
• Experience with ipmitool, Redfish workflows, and firmware lifecycle management.
• Bash and basic Python scripting for log collection.
• Documentation-as-code or Git-based workflow experience.
• Exposure to OCP-based platforms and ODM ecosystems.

Culture & Benefits

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative, innovative, and international environment.
• Opportunity to work on impactful AI projects.