**Summary:**

Meta's Edge & Network Service (ENS) team is actively looking for skilled engineers to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving complex networking problems at scale.

**Required Skills:**

Network Engineer, Deployment & Support Responsibilities:

1. Deployment, configuration, and management of all network infrastructure on our datacenter campus

2. Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network

3. Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks

4. Create deployment packages and maintain as-built documentation and asset database for installed network gear

5. Establish and implement global best practices and contribute to the design of new scalable network solutions

6. Support the development, testing and integration of new hardware and software platforms into the network

7. Participate in an on-call rotation to support the regional network infrastructure 24x7

8. 10% of travel required, up to 30% based on projects

**Minimum Qualifications:**

Minimum Qualifications:

9. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

10. Bachelor's degree in Engineering, Computer Science, relevant technical field, or equivalent practical experience

11. 4+ years of networking experience with designing, deploying, and supporting service provider, data center, and/or enterprise network infrastructure

12. Experience configuring and troubleshooting routing and switching protocols

13. Working knowledge of network protocols (TCP/UDP, DHCP, DNS)

14. Working knowledge with tooling and automation support for network deployment & operations across infrastructure environments

15. Familiarity with Linux-based systems and experience with scripting and automation (Bash, Python, Perl)

16. Experience working in a multi-vendor environment with hands-on experience with networking hardware

17. Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling

18. Proven experience prioritizing competing projects based on impact, deadlines, and stakeholder needs and delivering against mission-critical deadlines

19. Proven experience working in a global team environment and working independently and proactively solving problems

20. Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms

21. Knowledge of data center design and operational best practices

22. Experience analyzing situations and applying problem-solving skills to diagnose and resolve network issues during incidents or outages

23. Proven experience leading and executing network deployment projects

24. Experience working independently to drive tasks to completion

25. Experience interacting with vendors and external parties to drive projects to completion

26. Time and project management experience

**Preferred Qualifications:**

Preferred Qualifications:

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

28. Technical leadership and people management experience

29. Working knowledge of OTN CWDM, DWDM and optical transport network technologies

30. Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices

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

32. Working knowledge of data center power and cooling infrastructure and critical facility operational best practices

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

**Public Compensation:**

$106,995/year to $159,000/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.