Network Engineer, Deployment & Support

Meta is looking for a Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build large-scale AI backbone network infrastructure. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies, owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.Drive strategic planning by building and executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic vision with hands-on leadership to deliver results across a broad portfolio of initiatives Lead the technical strategy, architecture, and execution for team's projects within Edge Network Services (ENS) on network deployment and migrations, ensuring alignment with organizational vision and goals Collaborate cross-functionally across Network Engineering, Data Center, Edge, and planning teams to ensure the successful execution of shared goals on network capacity and reliability Provide technical contributions (design, deployment, migrate, etc.) on large-scale, complex programs at the experienced engineer's level, demonstrating domain expertise and technical impact Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality Deploy, migrate, and support our global production network, including edge, backbone, and data center infrastructure Manage key vendor relationships, including contract negotiations, pricing, and evaluation of current and potential partnerships Manage partner engineering team relationships to enable the team to effectively meet business needs Mentor and onboard new team members, raising the team's overall deployment capabilities and fostering team collaboration and knowledge sharing Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and the organization Travel required, approximately 10% to 30%Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience 10+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments Experience with leveraging AI to drive areas of efficiency for improved reliability, quality, and speed of deployments In-depth experience with designing and deploying large-scale data center network infrastructure Knowledge of the data center design, construction, and startup/commissioning processes Experience leading cross-functional teams and driving large-scale data center projects Track record of defining technical strategy and delivering measurable outcomes on complex infrastructure projects Working knowledge of internet networking technologies (TCP/IP, routing, switching), and optical transport technologies Knowledge of enterprise and provider-level network hardware platforms (IP and Optical) Organizational, multitasking, prioritization, and communication experience Experience in leading and/or managing technical teams Data center design or relevant telecommunications certifications Knowledge of network tooling and automation systems Experience working on a global team in a matrixed environment with demonstrated ability to independently drive priorities and decisions In-depth knowledge of network protocols (TCP/IP, BGP, IS-IS, etc.) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 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 technologiesMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .