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 the world’s largest AI backbone network. 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., 1. Lead the technical strategy, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployments, ensuring alignment with organizational vision and goals

1. Provide hands-on technical contributions (design, deployment, migration, code reviews, troubleshooting, etc.) on large scale complex programs at the experienced engineer level, demonstrating domain expertise and technical impact
2. 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
3. Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality
4. Collaborate cross-functionally across Network Engineering, Data Center, Edge, and Planning teams to ensure successful execution of shared goals on Network Capacity and Reliability
5. Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
6. Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
7. Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
8. Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
9. Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
10. 10% to 30% of travel

1. 10+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
2. Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
3. Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
4. Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
5. Experience interacting with vendors and external parties to drive projects to completion
6. Knowledge of data center design and operational best practices
7. Experience leading and executing network deployment and migration projects, 1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
9. Knowledge of various scripting languages
10. Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
11. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
12. Network certifications such as CCE, CCIE, or JNCIE
13. Experience in data center, edge, or large-scale network environments