Nebius

Nebius

Data Center IT Technician - Project Tasks

Missouri, United States · Contract

No sponsorship$30k-$45kDetected 114 days ago
Full-Stack DevelopmentCloud PlatformsLinuxMachine LearningData AnalysisProject ManagementJiraCollaboration

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odds of building a lasting career here

35Risky
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
  • Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Responsibilities

  • This role aims to provide not only support in troubleshooting high-performance server hardware, including GPU clusters, but also implementations of additional infrastructure components on production sites.
  • Apart from being involved in the resolution of complex hardware incidents, proactive handling of L1/L2 support via the ticketing system, you will work in collaboration with the Technical Project Manager.

Requirements

  • Knowledge of datacenters, and server equipment
  • Advanced knowledge of IT hardware and practical experience of troubleshooting
  • Experience with equipment monitoring, data analysis and presentation
  • High proficiency in spoken and written English
  • Knowledge of network equipment and troubleshooting in advanced level
  • Proven project management experience in IT Infrastructure domain
  • Bachelor degree in Computer Science
  • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Skills

  • Solve hardware-related issues with servers, involving in-depth advanced-level troubleshooting
  • Report to hardware problem management, execute workarounds and solutions
  • Solve proactively L1/L2 tasks through ticket system
  • Update new processes and documentation for IT hardware team
  • Collaborate with Technical Project Manager on current projects
  • Participate in technical projects implementations
  • Oversee 3rd party contractor activities during project implementations
  • Basic level of network tasks, troubleshooting and support

Compensation

  • We offer competitive hourly rates, ranging from $30.00 - $45.00 per hour based on your experience.

Benefits

  • Career growth and learning opportunities
  • Opportunity to work on impactful AI projects

Company info

  • We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment.
  • We're looking for a Data Center Technician with Project Management experience to support and maintain large-scale GPU clusters in a data center environment.
  • We are seeking an experienced IT Hardware Support Engineer with a focus on IT Projects and relevant activities.

Equal opportunity

  • Equal Opportunity Statement:
  • equal opportunity employer.

Visa & Work Authorization

  • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

This listing is sourced directly from Nebius's careers page and normalized into a canonical job model.