Meta's Edge & Network Services (ENS) team is actively looking for skilled professionals to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all Edge production networks (Edge, Backbone, Optical) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving complex networking and infrastructure challenges.

Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Move to

RESPONSIBILITIES

section (it already appears there) 8+ years of IP networking experience with deploying, migrating, and supporting service providers, data center, and/or enterprise network infrastructure Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP) Experience in coordinating and executing hardware installation and configuration Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6 Hands-on experience with enterprise and carrier-class routing, switching, and optical transport platforms Knowledge of data center design and operational best practices Experience with Linux OS/networking Experience in analyzing situations and utilizing problem-solving experiences under pressure Proven experience in executing network deployment and/or migration projects simultaneously Experience interacting with vendors and external parties to drive projects to completion Experience in CDN, Peering, Edge, or large-scale network environments Prior experience as a Tech Lead Manager (TLM) or in a hybrid IC/manager role Familiarity with infrastructure, tools, and an engineering culture Experience with field-based work in collocation facilities, internet exchanges, and central offices Working knowledge of data center power and cooling infrastructure and critical facility operational best practices Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with scripting and automation (Bash, Python, Perl) Familiarity with Linux-based systems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Network certifications such as CCIE, CCNP, or JNCIP Experience working in a multi-vendor network environment Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)