Production Network Manager, Backbone Engineering

Meta; Dublin; On-site; EUR 120,000 - 150,000; Full time

Job summary

Meta is seeking a Network Engineering Manager to join the Backbone and Edge Engineering team, focusing on the Software Defined Express Backbone Network. You will collaborate with engineers across software, systems, IP, and optical networking to drive innovation and expand our global network.

The role requires leadership of a networking software engineering team, strong knowledge of networking and distributed systems, and experience with network management systems for large-scale networks, while

Qualifications

• BS or MS in Computer Science, Engineering, or a related technical discipline, or equivalent experience.
• 4+ years managing MPLS and RSVP-TE based networks
• 6+ years experience in program management or product management
• Experience recruiting and managing technical teams, including performance management
• Knowledge of networking fundamentals
• Experience in network management systems for large-scale networks
• Demonstrated ongoing AI skill development and ethical AI practices (risk assessment, bias mitigation, quality reviews)

Skills

Networking fundamentals

Networking software engineering

Team management

AI tools in workflows

Education

Bachelor's or Master's in CS/Engineering

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.

• 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience in software development and engineering for network control and management
• Knowledge of network topology and capacity planning methodologies
• 4+ years managing MPLS and RSVP-TE based networks
• 6+ years experience in program management or product management
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)