L3 Support Engineer (Linux)

Location: Singapore. The role supports datacenters across APAC and may require travel to datacenters for complex troubleshooting, platform readiness, or incident containment.

Company

Nebius is building a full-stack AI cloud platform for data processing, model training, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Lead deep root cause analysis for GPU failures, firmware issues, Linux faults, and hardware-software interactions.
• Identify recurring issues across datacenter sites and convert investigations into durable platform fixes.
• Own technical workstreams during high-severity incidents and drive evidence-based escalations with ODM vendors and R&D.
• Support BIOS/BMC firmware validation, risk assessment, staged rollouts, and rollback planning.
• Create runbooks, troubleshooting guides, error catalogs, and playbooks that improve L1/L2 support capabilities.
• Travel to datacenters when required for complex troubleshooting, new platform readiness, or incident containment.

Requirements

• Hands-on experience with datacenter servers and deep Linux troubleshooting.
• Ability to diagnose hardware, BIOS/BMC firmware, Linux logs and drivers, storage fundamentals, and performance issues.
• Experience with structured incident response and communication under pressure.
• Experience driving evidence-based escalations with vendors or R&D teams.
• Fluent English, written and spoken.
• Applicants must be authorized to work in Singapore and provide proof of employment eligibility.

Nice to have

• Experience with GPU server platforms and tools such as nvidia-smi, dcgmi, and Linux log correlation.
• Familiarity with ipmitool, Redfish, firmware lifecycle management, and staged rollouts.
• Bash and basic Python scripting for log collection, triage automation, and reliability analysis.
• Exposure to OCP platforms, ODM manufacturing ecosystems, or enterprise bare-metal customers under contractual SLAs.

Culture & Benefits

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility, ownership, and a collaborative working environment.
• Opportunity to contribute to impactful AI infrastructure projects.
• International environment with a focus on meaningful impact and continuous growth.