IT Infrastructure Engineer

Responsibilities

• Perform advanced firmware and hardware diagnostics on enterprise server platforms including CPU, memory, PCIe, GPUs, and storage
• Troubleshoot complex hardware failures using system logs, BMC/IPMI, and BIOS diagnostics
• Act as the primary escalation point for L1 and L2 technicians on high-impact hardware incidents
• Conduct structured root cause analysis and document findings to prevent repeat failures
• Own the full RMA lifecycle including validation, warranty claims, and vendor coordination
• Interface with OEM vendors to escalate recurring hardware defects
• Analyze hardware failure trends and report reliability metrics
• Develop and standardize diagnostic playbooks and troubleshooting workflows
• Validate replacement components prior to production redeployment
• Collaborate with data center operations, procurement, and engineering teams

Requirements

• 5+ years of hands-on experience with enterprise server hardware in a production data center
• Deep understanding of x86 server architecture (CPUs, memory, PCIe, GPUs, power subsystems)
• Strong experience with firmware and BIOS/BMC diagnostics and upgrades
• Advanced Linux command-line troubleshooting and log analysis skills
• Experience with remote management interfaces like IPMI, iDRAC, or iLO
• Proven experience managing hardware RMA processes with OEM vendors
• Ability to conduct structured root cause analysis
• Familiarity with hardware monitoring systems
• High proficiency in spoken and written English

Preferred Qualifications

• Experience with board-level diagnostics and component-level repair (SMD rework)
• Familiarity with data center networking equipment
• Experience supporting GPU-dense or high-performance compute environments
• Valid driver’s license

About the Company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Headquartered in Amsterdam and listed on Nasdaq, Nebius owns the hard problems across compute, storage, networking, and applied AI.