Network Engineer, Operations & Support

**Summary:** Meta's Edge Network Services team is responsible for the design, deployment, and operational support of production networks spanning edge, backbone IP, optical, and data center infrastructure across Meta's global footprint. In this role, you will serve as a hands-on network engineer focused on ensuring the reliability, scalability, and performance of production Edge network infrastructure that underpins Meta's ability to connect billions of people worldwide. You will partner with cross-functional teams to execute the network's efficiency, drive operational excellence, and contribute to the evolution of global network standards. **Required Skills:** Network Engineer, Operations & Support Responsibilities: 1. Troubleshoot and resolve complex network incidents affecting production site services, driving root cause analysis and implementing corrective actions to prevent recurrence 2. Formulate the right metrics and definitions of success to report and drive quality, efficiency, cost, and timeliness, and evolve these over time to match changes to the infrastructure and business requirements 3. manage related programs, project budget plans, and budgets 4. Develop operational process improvement plans and transform with partner teams the improvements to scalable and automated AI-powered workflows by writing and reviewing the code to improve operational efficiency 5. Participate in team oncall rotation and improve issue/event escalation and emergency/incident response, including detailed after-action reviews to prevent future recurrences 6. Build cross-functional relationships and deliver results with partner teams (internally and externally) associated with all coordination, colocation operations, and compliance issues, including vendors, contractors, and stakeholders/partners 7. Support real-world operations and production challenges that affect network capacity and reliability, and take the lessons to improve current and future-generation coordination products and business processes 8. Identify operational gaps between system components and contribute to the design and delivery of scalable solutions that improve network reliability and availability efficiency 9. Participate in an oncall rotation to provide 24/7 support for production site services network infrastructure 10. Engage stakeholders across the network engineering, facilities, and vendor teams to coordinate project execution and communicate progress against milestones 11. Up to 15 percent of travel (domestic and international) **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 8+ years of experience in designing, deploying, operating, and troubleshooting large-scale production network infrastructure 14. Experience working within a global team and collaborating with cross-functional teams in a fast-paced and dynamic environment with limited supervision 15. Experience in configuring and troubleshooting routing and switching protocols, including BGP, IS-IS, OSPF, MPLS, and spanning tree variants 16. Experience with network protocols including TCP/IP, DHCP, and DNS, and hands-on experience with both IPv4 and IPv6 environments 17. Experience working in multi-vendor network environments with hands-on familiarity with enterprise or hyperscale networking hardware 18. Strong organizational/multitasking skills and ability to adapt to quickly changing priorities with excellent communication skills (verbal and written) 19. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience **Preferred Qualifications:** Preferred Qualifications: 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 23. Understanding of AI methods and tools, as well as training workloads and the demands they exert on the network. Knowledge of data-driven analysis and analytics applied to a full project lifecycle 24. Familiarity with physical infrastructure design: rack elevations, cable types, connector types, optic types, patch panels, power/cooling, and facility infrastructure 25. Familiarity and experience with the creation and management of Standard Operating Procedures (SOPs), Methods of Procedure (MOPS), and policies, alongside comprehensive technical and operations guidance and knowledge management practices 26. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 27. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 28. M.S. in Computer Science/Information Technology, Computer Engineering, Operations leadership, or a related discipline, or an equivalent mix of business process and technical experience 29. Some coding experience in Python, or a willingness to learn 30. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review) **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.