Network Engineer, Foundation & Support
**Summary:**
Meta is seeking a Network Engineer to join the Site Services Foundation team, supporting the design, deployment, and operational readiness of enterprise network infrastructure across Meta's global data center and campus environments. In this role, you will work at the intersection of network engineering and site services, collaborating with cross-functional partners in facilities, site operations, hardware engineering, and infrastructure teams to ensure that network technologies are deployed reliably and managed at scale. You will contribute to new product introduction workflows, operational documentation, and continuous improvement initiatives that enable Meta's network infrastructure to evolve alongside the demands of AI, compute, and connectivity at a global scale.
**Required Skills:**
Network Engineer, Foundation & Support Responsibilities:
1. Drive initiatives to enhance efficiency through tooling improvements in the pre-deployment domain for Backbone, Edge, and Optical
2. Collaborate with internal and cross-functional partner teams to define and automate optimal workflows for network pre-deployment activities
3. Automation and integration into existing tooling ecosystem which involves planning and pre-deployment activities (such as design bootstrapping, engineering design package generation, bill of materials (BOM) creation etc)
4. Proactively find gaps that impact multiple teams/orgs, come up with the execution plan, drive the project, and influence other teams to implement initiatives
5. 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
6. Work with developers and program managers to design and prioritize tooling enhancements and fixes
7. Help with roadmapping to identify and address key challenges
8. Help with recruiting and onboarding of new members to the team. Help them by mentoring and ensuring their quick ramp-up within our environment
9. Perform detailed troubleshooting and engage with cross-functional teams to fix system/tooling issues
10. Drive requirements with cross-functional teams to align tooling development efforts
11. Help make the people around you move faster by identifying issues that are slowing the team down and driving changes to address them
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
13. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
14. 10+ years of experience in the field of automation in the networking domain on large scale networks
15. Knowledge and experience with REST APIs
16. Experience with network devices (routers, switches, load balancers)
17. Experience leveraging AI-assisted tools (e.g., Claude, Copilot, code generation models) for software development and coding efficiency
18. Knowledge and experience with optical, Layer 2, and Layer 3 technologies
19. Knowledge and experience in Python
20. Experience working autonomously within a globally distributed team, managing priorities across time zones
**Preferred Qualifications:**
Preferred Qualifications:
21. Knowledge and experience in C, C++, Go, or Rust
22. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
23. MS or Graduate work experience in Computer Science, Computer Engineering, or a related technical discipline
24. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
25. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
26. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
27. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
28. Knowledge of a technology-agnostic approach to engineering
29. Experience with developing or operating distributed systems at scale
**Public Compensation:**
$135,000/year to $191,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 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.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.