Data Center IT Support Manager
Quick Summary
Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy.
What We Offer
~1 min readResponsibilities
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Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations.
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Ensure high availability and reliability of GPU clusters and IT infrastructure
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Act as the primary escalation point for complex hardware, network, and operational incidents
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Monitor and drive SLA, KPI, and incident resolution performance across IT support services
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Oversee proactive maintenance, troubleshooting, and problem management activities
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Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements
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Maintain and improve support processes, documentation, and team training materials
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Manage IT asset lifecycle activities, relates to responsibility area, including RMAs
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3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.
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Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks.
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Solid understanding of data center operations, server platforms, and enterprise networking principles.
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Practical experience with IT service management processes (ITIL / ITSM).
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Basic proficiency with Linux/Unix operating systems and command-line tools.
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Proven ability to manage operational KPIs, incidents, and escalations.
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Analytical skills
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Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments.
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High proficiency in spoken and written English.
Nice to Have
~1 min read-
Relevant certifications and trainings
What We Offer
~1 min readListing Details
- First seen
- April 3, 2026
- Last seen
- April 26, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 29%
- Scored at
- April 26, 2026
Signal breakdown
Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.
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