Global Network Automation Engineer, Foundation

Meta; Reston (VA); On-site; USD 135,000 - 191,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

Meta is seeking a Network Engineer to join the Foundation & Support team, building and operating scalable enterprise network infrastructure across data centers and campuses worldwide.

You will collaborate with facilities, hardware, and infrastructure teams, driving tooling improvements, automation, and efficient pre-deployment workflows to support AI, compute, and connectivity at global scale.

Qualifications

• Bachelor's degree in CS/CE or related field, or equivalent practical experience.
• 10+ years of automation in networking on large-scale networks.
• Experience with REST APIs.
• Experience with network devices (routers, switches, load balancers).
• Experience using AI-assisted tools for coding efficiency.
• Knowledge of optical, Layer 2/3 technologies and Python.
• Experience operating autonomously in a globally distributed team.

Responsibilities

• Drive tooling enhancements for pre-deployment in Backbone, Edge, and Optical.
• Automate workflows for network pre-deployment with partner teams.
• Integrate tooling across the existing ecosystem and BOM creation.
• Identify gaps, propose plans, and drive cross-team initiatives.
• Collaborate with developers and program managers on tooling improvements.
• Contribute to roadmapping and candidate onboarding for the team.
• Troubleshoot systems and tooling issues with cross-functional teams.
• Influence teams to implement tooling changes and efficiency gains.

Skills

REST APIs

Python

Automation (Networking)

AI-assisted tools

Distributed systems

Networking fundamentals

Code generation tools

Education

Bachelor's degree in Computer Science or Computer Engineering or related field

Tools

Routers

Switches

Load balancers

Claude

Copilot

Job description

Meta is seeking a Network Engineer to join the Foundation & Support team, building and operating scalable enterprise network infrastructure across data centers and campuses worldwide.

You will collaborate with facilities, hardware, and infrastructure teams, driving tooling improvements, automation, and efficient pre-deployment workflows to support AI, compute, and connectivity at global scale.