Network Engineer, Operations & Support

Meta is seeking a Network Engineer to join our Site Services and Edge Network Services (ENS) Operations team. In this role, you will support the deployment, integration, and ongoing operational health of network infrastructure across Meta's global site portfolio. You will work at the intersection of structured cabling, IP networking, and physical layer systems to ensure reliable connectivity for hyperscale data center and campus environments. Collaborating with network design, engineering, and cross-functional partners, you will help drive scalable deployment strategies, resolve complex network incidents, and improve operational processes that underpin one of the world's largest and most dynamic network infrastructures., 2. Collaborate with cross-functional teams, managed service providers, and third-party vendors to investigate and resolve complex network incidents and site events affecting edge, access, and core infrastructure

3. Identify operational improvement opportunities across deployment workflows, change management processes, and support procedures to increase efficiency, reliability, and standards compliance

4. Partner with network design and engineering teams to provide field-level feedback that informs future infrastructure designs, cabling standards, and scalability requirements

5. Analyze operational data including fault trends, deployment metrics, and vendor performance to identify systemic issues and drive prioritized corrective actions

6. Ensure accuracy and completeness of network asset records, documentation, and operational runbooks to support consistent and auditable site operations

7. Collaborate with automation and tooling teams to identify opportunities for reducing manual operational tasks, and in some cases directly implement lightweight solutions to address recurring operational gaps

8. Provide technical guidance to external vendors and field technicians to direct installation, repair, and validation activities in accordance with Meta's network standards

9. Communicate clearly on project status, incident outcomes, and operational metrics to stakeholders across engineering, operations, and site services teams

10. International and domestic travel may be required up to 25% of the time depending on business needs

11. Experience working with cross-functional teams and external vendors to execute network deployments, change management activities, or incident resolution at scale

12. 2+ years of experience deploying, operating, or supporting large-scale network infrastructure including structured cabling, fiber optic systems, and IP networking in data center or campus environments

13. Experience analyzing operational datasets or metrics to identify trends, prioritize issues, and support data-driven decision making in a network operations context

14. Experience troubleshooting and root-causing network incidents across physical, data link, and network layers in enterprise or data center environments

Preferred Qualifications:

Preferred Qualifications:

15. Experience with enterprise or service provider network hardware platforms such as Arista, Cisco, Juniper, or Nexus data center switching platforms

16. Experience working within or alongside a Network Operations Center (NOC) environment, including managing against SLAs and contributing to continuous improvement programs

17. Familiarity with hyperscale data center physical infrastructure including rack elevations, structured cabling standards, fiber optic plant design, and power and cooling considerations

18. Demonstrated use of AI tools to optimize operational workflows, automate documentation, or accelerate troubleshooting and root cause analysis

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

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