Data Center IT Manager: GPU Cluster Ops

Nebius

Oklahoma

On-site

USD 122,880 - 184,320

Full time

14 days+

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Benefits offered by this job

Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture

Job summary

Nebius is seeking an IT Support Manager in the United States, Oklahoma, to lead IT infrastructure maintenance within their data center. This role entails managing L1 and L2 teams while ensuring the high availability and reliability of GPU clusters and other IT infrastructure.

The ideal candidate will possess at least 3 years of experience in technical support management and a strong background in diagnosing server hardware issues. Join Nebius and contribute to impactful AI projects in a collaborative environment.

Qualifications

  • 3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment.
  • Proven ability to manage operational KPIs, incidents, and escalations.
  • High proficiency in spoken and written English.

Responsibilities

  • Lead and manage IT infrastructure and Field Network Engineers in data center.
  • Ensure high availability and reliability of GPU clusters and IT infrastructure.
  • Monitor and drive SLA, KPI, and incident resolution performance.

Skills

Experience managing technical support teams
Diagnosis and resolution of hardware issues
Understanding of data center operations
Experience with IT service management processes
Proficiency in Linux/Unix
Analytical skills
Strong sense of ownership

Job description

Nebius is seeking an IT Support Manager in the United States, Oklahoma, to lead IT infrastructure maintenance within their data center. This role entails managing L1 and L2 teams while ensuring the high availability and reliability of GPU clusters and other IT infrastructure.

The ideal candidate will possess at least 3 years of experience in technical support management and a strong background in diagnosing server hardware issues. Join Nebius and contribute to impactful AI projects in a collaborative environment.

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