Meta's Edge & Network Service (ENS) team is actively looking for skilled engineers 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 production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) 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 challenges at scale.

Qualifications:

4+ years of work experience responsible for designing, deploying and operating large-scale networks Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP) Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6 Experience working in a multi-vendor environment with hands-on experience with networking hardware Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling Proven experience prioritizing competing projects based on impact, deadlines, and stakeholder needs and deliver against mission critical deadlines Proven experience working in a global team environment and identifying and resolving technical issues independently Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Familiarity with Linux-based systems and experience with scripting and automation (Bash, Python, Perl) Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Working knowledge of data center power and cooling infrastructure and critical facility operational best practices Technical leadership and people management experience Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies