Network Engineer,Foundation Services Automation Job Seattle area,Washington USA,Software Development

Summary

Meta is looking for a talented engineer to join the Edge and Network Services team. This team is responsible for processes and systems for deploying and supporting one of the world’s largest, most complex, and robust networks. Automation is the key to meeting our demands; you will be responsible for executing on our vision for integrating detection, triage and directed repair into our pipeline for networks supporting AI/ML applications.

As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking s position is full‑time and based in the US.

Required Skills

Network Engineer, Foundation Services Automation Responsibilities:

Automation and integration into existing pipelines, alerting, triage and repair for IP, Ethernet, and non-Ethernet networks

Improve efficiency through automation and processes improvements

Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network deployment and repair

Proactively find gaps that impact multiple teams/orgs, come up with the execution plan and drive the project and influence other teams to reach there

Develop automated methods to detect, mitigate and remediate network events

Work with partner teams, understand their challenges, help them find a solution natively or lead effort working with cross‑functional teams to deliver systems/platforms/tooling

Help with recruiting and onboarding of new members to the team. Help them by mentoring and assuring their quick ramp up within our environment

Perform detailed troubleshooting and engage with cross‑functional teams to fix system/tooling issues

Drive requirements with cross functional teams to align our internal tooling efforts

Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them

Minimum Qualifications

10+ years of experience;
Automation experience in the Networking domain in large scale networks

Knowledge and Experience with Layer 2 & Layer 3 technologies

Knowledge and experience with Rest APIs

Experience leveraging AI‑assisted tools (e.g., Claude, Copilot, code generation models) for software development and coding efficiency

Experience with network devices (routers, switches, load balancers)

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Knowledge and experience in Python

Knowledge of Linux OS/networking

Experience working autonomously within a globally distributed team, managing priorities and driving projects to completion

Preferred Qualifications

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience with developing or operating distributed systems at scale

MS or Graduate work experience in Computer Science, Computer Engineering, or a related technical discipline

Knowledge and experience in C, C++, Go or Rust

Experience evaluating and adopting technologies based on project requirements rather than platform preference

Public Compensation

$162,000/year to $227,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff… (EEO statement continues). Meta is proud to be an Equal Employment Opportunity and Aff... We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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