Production Network Manager, Backbone Engineering

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.

Responsibilities

Be a highly technical manager
Hold your own in technical discussions, be a subject matter expert, and have strategic influence
Help define and drive regular development of the technical roadmap to meet the needs of the team, and partner teams
Operate in a rapidly evolving environment, adapting quickly to new information and re-prioritizing as needed
Manage engineers working to design, build, scale, deploy, and support networks and systems for our Express Backbone network infrastructure
Partner closely with Facebook backbone, edge, data center, and hardware network engineering teams and other software infrastructure teams
Manage and develop a team of engineers
Help engineers develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, and career goals
Assess employee performance frequently, address under-performance, and recognize and promote excellent performance
Work closely with dedicated recruiting staff to expand the team, including sourcing candidates, interviewing candidates, participating in conferences/events, and onboarding new employees
Communicate cross-functionally and drive engineering efforts

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 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