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Senior Data Center Engineer

NVIDIA·Israel·en
On-siteFull-timeFacilities ManagementComputer Hardware

A global technology company is seeking a Senior Data Center Engineer to support large-scale data center facilities, production server infrastructure, and technical delivery projects in Israel.

Responsibilities

  • Serve as a technical liaison for engineering and infrastructure teams.
  • Manage large- and small-scale data center and laboratory projects.
  • Install, monitor, maintain, support, and optimize production server hardware.
  • Lead deployment of data center infrastructure, server upgrades, integrations, rebuilds, and relocations.
  • Develop and maintain global data center knowledge resources.
  • Plan improvements to power, cooling, and network resource utilization.
  • Forecast data center growth, identify scaling risks, and implement solutions.
  • Support facility acquisition and optimization of existing sites.
  • Investigate operational issues, analyze trends, identify systemic problems, and implement process improvements.

Requirements

  • At least 5 years of experience with large-scale data center hardware deployments, data center construction, and data center relocation projects.
  • Technical certification or relevant professional experience.
  • Experience with technical project management and effective prioritization.
  • Knowledge of data center power, cooling, structured copper and fiber cabling, network infrastructure, and root cause analysis.
  • Experience developing and reviewing method of procedure and standard operating procedure documents.
  • Ability to understand internal customer problems and provide timely technical solutions.
  • Strong communication and interpersonal skills when working with diverse teams.
  • Ability to manage multiple priorities with attention to detail.

Nice to have

  • Programming experience with Python, SQL, or Bash.
  • Experience with Nautobot, NetBox, monitoring, ServiceNow, or inventory management tools.
  • Knowledge of liquid cooling infrastructure.
  • Evidence of continuous learning and process improvement.

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