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.

Responsibilities

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%

Qualifications

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 technologies