Network Engineer, Deployment & Support

About the Role

Meta's Edge & Network Services team is seeking passionate individuals to help tackle unique challenges and opportunities while contributing to our mission of connecting the world. The team serves as the execution arm for Meta's network, responsible for the deployment and support of all production networks, including Edge, Backbone, Optical, and Datacenter, as well as our global content delivery network. This global team offers a unique career opportunity to work with cutting-edge network technologies and talented engineers, solving complex industry problems.

Key Responsibilities

• Participate in the design, engineering, and implementation of large-scale data center networks across multiple geographic locations.
• Research, develop, and deploy various technologies and network topologies to evolve and scale data centers and optimize deployments.
• Initiate and lead strategic initiatives focused on efficiency, innovation, and standardization of data centers.
• Collaborate with cross-functional teams and external vendors to develop new features and influence the future of networking.
• Influence future iterations of data center and network designs for seamless integration of new infrastructure.
• Actively participate in the New Product Introduction (NPI) process for network infrastructure.
• Partner with software teams to develop and implement tooling for provisioning, management, monitoring, and troubleshooting networks.
• Generate network infrastructure design packages for deployment teams, working with network engineering, data center design, and data center connectivity teams.
• Build and nurture business relationships with key stakeholders, partners, and vendors.
• Develop automation and tooling to drive consistency and efficiency in network design, deployment, and operations.
• Perform site visits and collaborate with construction, design architects, and contractors to validate cabling infrastructure and network builds according to Meta standards.
• Maintain technical reference, process, and training documentation.
• 25% to 40% travel required based on project demand.

Requirements & Tech Stack

• Experience with leveraging AI to drive efficiencies for improved reliability, quality, and speed of deployments.
• In-depth experience with designing and deploying large-scale data center network infrastructure.
• Demonstrated knowledge of structured cabling and fiber optic infrastructure, including design and installation best practices, industry standards, applications, and limitations.
• Knowledge of data center design, construction, and start-up/commissioning processes.
• Experience leading cross-functional teams and driving large-scale data center projects.
• Track record of solving problems, setting strategic direction, and executing tactically.
• Working knowledge of internet networking technologies (TCP/IP, routing, switching) and optical transport technologies.
• Knowledge of enterprise and provider-level network hardware platforms (IP + Optical).
• Organizational, multitasking, prioritization, and communication experience.
• Preferred: In-depth knowledge of network protocols (TCP/IP, BGP, IS-IS, etc.).
• Preferred: Knowledge of network tooling and automation systems.
• Preferred: In-depth knowledge of inside/outside plant cable design and dark fiber builds.
• Preferred: Data center design or relevant telecommunications certifications.
• Preferred: Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Preferred: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Preferred: Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Preferred: Experience leading and/or managing technical teams.
• Preferred: Experience working on a global team in a matrixed environment with limited supervision.
• Preferred: Experience working with on-site construction teams and managing contractor and vendor relationships.