Network Engineer, Deployment & Support

About

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.

Responsibilities

• 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
• 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
• 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
• Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality
• Collaborate cross-functionally across Network Engineering, Data Center, Edge, and Planning teams to ensure successful execution of shared goals on Network Capacity and Reliability
• 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(s) to effectively meet business needs
• Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
• Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
• 10% to 30% of travel

Minimum Qualifications

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