Data Center Production Engineer — Linux & Hardware

Meta

Garland (TX)

On-site

USD 71,000 - 103,000

Full time

2 days ago
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Benefits offered by this job

Equity
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On-site work in Garland, TX

Job summary

Meta is seeking a forward thinking engineer to join the Production Operations team within our Data Centers. You will work in a fast-paced, technical environment managing server hardware and Linux in a data center setting, with exposure to networking, scripting, and OS repair.

Expect on-call rotations and opportunities to drive improvements. Ideal candidates will have a degree in a technical field (or equivalent experience), strong communication, and the ability to contribute to global data

Qualifications

  • Bachelor’s or Master’s degree in a technical field or equivalent experience/certification.
  • Knowledge of Linux and server hardware support.
  • Experience in Networking, Programming/Scripting, Hardware, or OS repair.

Responsibilities

  • Work within Meta's ticketing system.
  • First point of contact for break fix technicians.
  • Assist with projects and repairs throughout the data center.
  • Understand and debug hardware and Linux OS issues.
  • Identify and help create documentation for the global data center knowledge base.
  • Assist with process improvements and best practices in data center operations.
  • Participate in on-call rotation (once a month on call for a week, after hours, first point of contact).

Skills

Linux
Server hardware
Networking
Programming/Scripting
OS repair
Communication
Python
SQL
Shell scripting

Education

Bachelor's or Master’s degree in technical field or equivalent

Job description

Meta is seeking a forward thinking engineer to join the Production Operations team within our Data Centers. You will work in a fast-paced, technical environment managing server hardware and Linux in a data center setting, with exposure to networking, scripting, and OS repair.

Expect on-call rotations and opportunities to drive improvements. Ideal candidates will have a degree in a technical field (or equivalent experience), strong communication, and the ability to contribute to global data

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