EMEA/APAC), with flexibility for global-friendly hours, \~10-15% travel expectedBachelor'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 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)Meta builds technologies that help people connect, find communities, and grow businesses. 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.