Meta's backbone carries the traffic behind every product and, increasingly, the AI training and inference fabrics reshaping the network. The Long-Term Design & Delivery (LTD) team owns how that backbone evolves 2-3 years out: turning long-range traffic demand into the topology, designs, and technology introductions partnering with delivery orgs to execute. We're looking for a Production Network Engineer to lead IP design across our backbone domains. Production Network Engineers at Meta are hybrid software and network engineers. While coding is a requirement for this role, the emphasis is design and de-risking at scale: defining multi-year topology plans, driving new-product introductions and migrations, and producing designs the delivery and deployment teams can build without churn.
Responsibilities
Own long-term IP backbone design for one or more domains or regions - translating business demand into topology, product definition and device selection 2-3 years ahead
• Drive new-product introductions: define how and when to introduce them and the migration strategy across existing generations
• Design and drive large-scale migrations in live environments: MOPs, sequencing, risk assessment, de-risking without outages
• Own and evolve design rules, standards, and BOMs; drive consensus on simplifications that make designs repeatable and cut delivery churn
• Deliver a clean product definition and design handoff to delivery/deployment partners
• Write and review code/automation for the entire design lifecycle: what-if analysis, BOM generation, hardware selection and partner with teams across the entire tooling-ecosystem
• Partner cross-functionally across Capacity Planning, Network Site sourcing, Network Fiber sourcing and represent designs in XFN reviews and drive decisions through influence
• Set technical direction for a domain and be the escalation point for complex design/topology problems
• Collaborate across regions (incl. EMEA/APAC), with flexibility for global-friendly hours, 10-15% travel expected
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 6 years of experience in designing and/or operating large-scale IP networks
• Deep TCP/IP, IPv4/IPv6, and BGP (plus MPLS / IS-IS or similar) - configuration, typical patterns, performance tuning
• Understanding of 400/800G Ethernet and optical transport (DWDM) as it applies to backbone links and long-haul design
• Experience with network device configuration for at least one vendor (Juniper, Cisco, Arista, etc.)
• Coding in a higher-level language (Python / C++ / Go)
• Experience collaborating with cross-functional partners, resolving technical disagreements, and driving alignment across teams without direct authority
Preferred Qualifications
• Backbone/WAN experience in the context of hyperscalers
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience introducing new network platforms and driving cross-generation migrations at scale
• 10+ years of experience designing/operating backbone or large-scale IP networks
• Experience setting technical direction for a team of 3+ engineers
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Understanding of AI workloads and the demands they place on topology
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with capacity-planning processes and physical constraints (cabling, space, power, fiber)
