Network Engineer, Deployment & Support

Meta's Edge & Network Services (ENS) team is looking for skilled engineers to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of building community and bringing the world closer together. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all Edge production networks (Edge, Backbone, Optical) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving some of the most complex problems in the industry.

Responsibilities

Deploy and support our global production including edge, backbone, and content delivery network (CDN) infrastructure
Work cross-functionally with project management, network engineering to generate implementation plans including Method of Procedure (MOP) and Bill of Materials (BOM), Engineering Design Packages (EDP), Scope of Works (SOW), Network equipment and server Rack Face Elevations (RFE)
Troubleshoot and resolve complex network issues, collaborate as needed to ensure timely resolution
Provide technical leadership and guidance during network deployment activities in our POPs, including in the areas of facility power, cooling, rack layout and cable management, physical equipment installation, network equipment configuration, testing, and handoff for production traffic
Drive problem management initiatives to solve complex issues that span multiple organizations. Initiatives exist globally across technical infrastructure reliability, policy, security, compliance, and business strategy
Help drive and align on workflow management tool requirements - efficiency and automation roadmaps
Manage partner engineering team relationships to enable the teams to effectively meet business needs
Create deployment install packages and maintain as-built documentation and asset database for network and computing equipment
Establish and implement global best practices and contribute to the design of new, scalable network solutions
Support the development, testing, and integration of new hardware and software platforms into the network
Develop and maintain technical documentation for network infrastructure and services
10% to 30% travel required

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Move to RESPONSIBILITIES section (it already appears there)
8+ years of IP networking experience with deploying, migrating, and supporting service providers, data center, and/or enterprise network infrastructure
Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP)
Experience in coordinating and executing hardware installation and configuration
Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
Hands-on experience with enterprise and carrier-class routing, switching, and optical transport platforms
Knowledge of data center design and operational best practices
Experience with Linux OS/networking. Experience in analyzing situations and utilizing problem-solving experiences under pressure
Proven experience in executing network deployment and/or migration projects simultaneously
Experiencing interacting with vendors and external parties to drive projects to completion Experience with field-based work in collocation facilities, internet exchanges, and central offices
Familiarity with Linux-based systems
Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
Experience with scripting and automation (Bash, Python, Perl)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience working in a multi-vendor network environment
Network certifications such as CCIE, CCNP, or JNCIP
Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies