Production Network Manager, Backbone Engineering

Meta; Topeka (KS); On-site; USD 150,000 - 230,000; Full time

Job summary

Meta seeks a Network Engineering Manager to lead the Backbone and Edge Engineering team. You will drive the design, implementation, and support of cutting-edge networking systems across a world-class backbone, collaborating with engineers across software, systems, IP, and optics to push innovation and expansion.

You will recruit, mentor, and manage technical staff, emphasize responsible AI practices, and apply AI-enabled tools to optimize workflows and scale network operations.

Qualifications

• Experience managing a networking-related software engineering team.
• Knowledge of networking and distributed systems.
• Experience in network management systems for large-scale networks.
• BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience.
• Experience recruiting and managing technical teams, including performance management and managing engineers.
• Knowledge of networking fundamentals.
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Knowledge of network topology and capacity planning methodologies.
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• 4+ years managing MPLS and RSVP-TE based networks.

Skills

Networking

Distributed systems

MPLS

RSVP-TE

AI integration

Team leadership

Performance management

Network control

Education

BS or MS in CS/Engineering

Tools

Network management systems

Job description

Meta's global network, comprised of cutting-edge platforms, is looking for a Network Engineering Manager to join the Backbone and Edge Engineering team focused on our Software Defined Express Backbone Network. This team is responsible for designing, implementing and supporting one of the world’s largest and most cutting edge networks. In this role, you will work closely with other engineers with a wide variety of deep technical expertise in software, systems, IP, and Optical networking to drive forward innovation and expansion of our network.

Qualifications and Experience

• Experience managing a networking-related software engineering team
• Knowledge of networking and distributed systems
• Experience in network management systems for large-scale networks
• BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
• Experience recruiting and managing technical teams, including performance management and managing engineers
• Knowledge of networking fundamentals
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Knowledge of network topology and capacity planning methodologies
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in software development and engineering for network control and management
• 6+ years experience in program management or product management
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 4+ years managing MPLS and RSVP-TE based networks