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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.
Job Responsibility:
Support the deployment and integration of network infrastructure across Meta's site portfolio, including structured cabling, fiber connectivity, switching, and routing systems in data center and campus environments
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
Identify operational improvement opportunities across deployment workflows, change management processes, and support procedures to increase efficiency, reliability, and standards compliance
Partner with network design and engineering teams to provide field-level feedback that informs future infrastructure designs, cabling standards, and scalability requirements
Analyze operational data including fault trends, deployment metrics, and vendor performance to identify systemic issues and drive prioritized corrective actions
Ensure accuracy and completeness of network asset records, documentation, and operational runbooks to support consistent and auditable site operations
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
Provide technical guidance to external vendors and field technicians to direct installation, repair, and validation activities in accordance with Meta's network standards
Communicate clearly on project status, incident outcomes, and operational metrics to stakeholders across engineering, operations, and site services teams
International and domestic travel may be required up to 25% of the time depending on business needs
Requirements:
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
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
2+ years of hands-on experience with network hardware platforms and physical layer infrastructure, including switches, routers, fiber/copper test equipment, and associated installation tooling
Experience troubleshooting and root-causing network incidents across physical, data link, and network layers in enterprise or data center environments
Experience working with cross-functional teams and external vendors to execute network deployments, change management activities, or incident resolution at scale
Experience analyzing operational datasets or metrics to identify trends, prioritize issues, and support data-driven decision making in a network operations context
Nice to have:
Experience with enterprise or service provider network hardware platforms such as Arista, Cisco, Juniper, or Nexus data center switching platforms
Experience working within or alongside a Network Operations Center (NOC) environment, including managing against SLAs and contributing to continuous improvement programs
Familiarity with hyperscale data center physical infrastructure including rack elevations, structured cabling standards, fiber optic plant design, and power and cooling considerations
Demonstrated use of AI tools to optimize operational workflows, automate documentation, or accelerate troubleshooting and root cause analysis