Nebius · 5 hours ago
Lead Data Center Support Engineer
Nebius is leading a new era in cloud computing to serve the global AI economy. They are seeking a Data Center Support Engineer to serve as a senior technical escalation point within their data center operations, focusing on troubleshooting and mentoring junior technicians.
AI InfrastructureCloud InfrastructureGPUIaaSPaaS
Responsibilities
Serve as the primary escalation point for complex data center IT and hardware issues
Perform advanced troubleshooting across bare-metal hardware, break/fix, and networking issues
Mentor, train, and support entry-level and junior technicians (5–10 person influence)
Develop, improve, and maintain SOPs, documentation, and training materials
Partner with stakeholders to improve processes and operational consistency across the data center
Qualification
Required
Strong experience with data center break/fix, hardware repairs, and bare-metal troubleshooting
Working knowledge of basic networking and link-level troubleshooting
Comfortable operating in the command line, with basic Linux experience
Solid understanding of how data centers function end-to-end
Experience creating SOPs, documentation, and training programs
Demonstrated leadership experience mentoring or guiding 5–10 technicians
Background in data centers, IT, computer science, or facilities-adjacent roles
Preferred
Experience using data or dashboards to understand operational health or trends
Exposure to basic analytics, reporting, or visualizations related to data center operations
Background as a data center technician transitioning toward more analytical or systems-focused work
Benefits
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.
Company
Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
Funding
Current Stage
Late StageTotal Funding
$1.04B2025-06-04Debt Financing· $1B
2025-05-15Grant· $45M
2024-12-02Seed
Recent News
2025-10-25
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