Scale-Driven Network Engineer: Data Centers & Automation

Meta

Dublin

On-site

EUR 60,000 - 90,000

Full time

13 hours ago
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Job summary

Meta in Ireland is seeking an entry-level Network Production Engineer to join a fast-paced, scalable network team. You will rotate through Backbone, Data Center and Network Infrastructure groups to gain hands-on exposure while contributing to the design and deployment of multi-vendor networks.

The role emphasizes automation, data-driven monitoring, and rapid problem diagnosis to support a global service network. A degree in CS/CE or related field is required.

Qualifications

  • Experience learning new concepts around network design and management.
  • Experience with UNIX, TCP/IP, network fundamentals, or similar.
  • Must obtain work authorization in Ireland at time of hire.
  • Experience with computer networks.
  • Experience coding in at least one language (Python/Golang/Rust/C++).
  • Currently pursuing or holding a Bachelor's degree in CS/CE or related field, completed before joining Meta.

Responsibilities

  • Build experience with Backbone, Data Center, and Network Infrastructure Engineering teams through rotational experiences during your first year.
  • Build, manage and maintain multi-vendor, multi-protocol data center and backbone networks.
  • Develop optimized network monitoring systems.
  • Design and deploy new network architectures.
  • Develop automated methods to mitigate and remediate network events.
  • Analyze data to diagnose and identify root causes to network issues.

Skills

UNIX
TCP/IP
Networking fundamentals
Python
Golang
Rust
C++
Git

Education

Bachelor's degree in Computer Science or related field

Tools

Python
Golang
Rust
C++

Job description

Meta in Ireland is seeking an entry-level Network Production Engineer to join a fast-paced, scalable network team. You will rotate through Backbone, Data Center and Network Infrastructure groups to gain hands-on exposure while contributing to the design and deployment of multi-vendor networks.

The role emphasizes automation, data-driven monitoring, and rapid problem diagnosis to support a global service network. A degree in CS/CE or related field is required.

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