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Lead Data Center Support Enginer jobs in United States
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Nebius · 20 hours ago

Lead Data Center Support Enginer

Nebius is seeking a Data Center Support Engineer to serve as a senior technical escalation point within their data center operations. The role involves advanced troubleshooting of hardware and networking issues, mentoring junior technicians, and improving operational processes.
Artificial Intelligence (AI)SemiconductorCloud ComputingAI InfrastructureCloud InfrastructureGPUIaaSPaaS
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Growth Opportunities

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

Data center troubleshootingHardware repairsBasic networkingCommand lineSOP creationMentoring techniciansBasic Linux experienceData center operationsAnalytics exposure

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

Company

Nebius

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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 Stage
Total Funding
$1.04B
2025-06-04Debt Financing· $1B
2025-05-15Grant· $45M
2024-12-02Seed

Leadership Team

E
Evan Helda
Head of Physical AI
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Vinita Ananth
Sr. Director of Product
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Company data provided by crunchbase