Night Shift Data Center Technician — 24/7 Operations

Amazon Web Services (AWS)

Lithia Springs (GA)

On-site

USD 43,000 - 74,000

Full time

3 days ago
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Job summary

Amazon Data Services, Inc. in Lithia Springs, GA is hiring Data Center Technicians to install and maintain server hardware, troubleshoot networks, and respond to incidents in a 24/7 environment.

You will travel within the regional area as needed and collaborate with engineers, vendors, and contractors to keep data centers running reliably. The role requires physical readiness, shift work, and the ability to work at alternative sites during training.

Qualifications

  • 2+ years of computer/server hardware troubleshooting experience or related IT.
  • 2+ years of computer layer 1/2 networking experience (troubleshooting and repair).
  • Flexibility to work weekends, nights, and holidays.

Responsibilities

  • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents.
  • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors.
  • Performing on-call duties and participating in scheduled maintenance and change management activities.
  • Contributing to documentation and process improvement initiatives based on analysis of issues.
  • Helping to train and onboard new team members.

Skills

Hardware troubleshooting
Networking (L1/L2)
Flexible schedule

Education

Bachelor's degree in IT-related field

Tools

Linux/Unix Administration

Job description

Amazon Data Services, Inc. in Lithia Springs, GA is hiring Data Center Technicians to install and maintain server hardware, troubleshoot networks, and respond to incidents in a 24/7 environment.

You will travel within the regional area as needed and collaborate with engineers, vendors, and contractors to keep data centers running reliably. The role requires physical readiness, shift work, and the ability to work at alternative sites during training.

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