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Описание вакансии
Текст:
TL;DR
Field Network Technician (AI Cloud Infrastructure): Deploying and supporting data center network and hardware infrastructure for large-scale AI and GPU cloud environments with an accent on hands-on troubleshooting, infrastructure launches, and remote IT operations. Focus on coordinating technical deployments across U.S. data centers, resolving L1 network and hardware issues, and maintaining operational documentation.
Location: New Jersey, United States; work out of the New Jersey location with regular business travel to data center sites.
Salary: $83,200–$99,840 USD per year.
Company
Nebius builds a full-stack AI cloud platform for data and model training, inference, and production deployment, including large-scale GPU infrastructure.
What you will do
- Prepare and deploy infrastructure for new data center and cloud launches.
- Troubleshoot hardware and L1 network issues in U.S. data centers.
- Coordinate remote IT operations with smart-hands providers at co-located facilities.
- Travel to support on-site installations, technical projects, and infrastructure expansion.
- Collaborate with internal teams and external contractors to execute projects.
- Create and maintain technical documentation for service operations and best practices.
Requirements
- 3+ years of hands-on experience in project planning and technical problem-solving.
- Strong understanding of data center, server, and network equipment.
- Proficiency in IT hardware diagnostics and troubleshooting.
- Excellent written and verbal English communication skills.
- Regular business travel availability and a valid driving license.
- Relevant entry-level certification, such as CCNA.
- Authorization to work in the United States and proof of employment eligibility.
Nice to have
- ITIL or PMI certification.
Culture & Benefits
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative work environment.
- Opportunity to work on impactful AI projects.
- International environment with experienced engineering teams.
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