Data Center Technician (Early Talent)

Role description

Role Overview

As a Data Center Technician (Early Talent), you will gain hands-on experience maintaining and supporting IT infrastructure within our data centers, including modern GPU cloud cluster technologies. You will learn to troubleshoot and resolve hardware issues, perform physical hardware repairs, support infrastructure maintenance, and ensure the smooth operation of critical systems.

What You Will Do

Diagnosing and resolving IT hardware issues, collaborating with internal teams and external contractors, installing and upgrading hardware, managing and maintaining fiber optic cables, and creating and maintaining technical documentation.

Why It Might Be a Fit

We expect you to have a strong interest in pursuing a hands-on technical career in data center operations and IT infrastructure, foundational knowledge of computer hardware, networking, and IT systems, and the ability to read and understand technical documentation in English.

Requirements

• Education or training in a relevant technical field, such as IT, computer hardware, electronics, networking, or practical engineering.
• A strong interest in pursuing a hands-on technical career in data center operations and IT infrastructure.
• Foundational knowledge of computer hardware, networking, and IT systems.
• The ability to read and understand technical documentation in English.
• A valid driver’s license and access to a personal vehicle for commuting to the Masmiya site.
• Willingness and availability to work rotating shifts, including nights and weekends.
• The ability to perform physical tasks associated with data center operations, including prolonged standing and working on ladders, with appropriate safety measures.
• The ability to comply with all safety, security, and confidentiality policies.
• Availability to commit to the full 6-month program.
• Be at least 18 years old by the program start date.
• Legal authorization to work in Israel without requiring sponsorship.

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams