Network Engineer, Operations & Support

Job Description

Meta's Edge & Network Services team is responsible for the deployment and operational support of production networks spanning Edge, Backbone, Optical, and Datacenter infrastructure across Meta's global footprint. In this role, you will serve as a hands-on network engineer focused on site services and deployment, ensuring the reliability, scalability, and performance of production network infrastructure that underpins Meta's ability to connect billions of people worldwide. You will partner with cross-functional teams to execute network deployments, drive operational excellence, and contribute to the evolution of global network standards.

Network Engineer, Operations & Support Responsibilities:

Deploy, configure, and validate production network infrastructure including switching, routing, and optical transport equipment across data center and edge sites
Perform day-to-day operational support of site network services, including troubleshooting routing and switching protocol issues across BGP, IS-IS, MPLS, and RSVP-TE environments
Plan and execute scheduled maintenance activities including hardware upgrades, software migrations, and decommissioning of production network assets
Maintain accurate as-built documentation, asset inventory, and configuration records for all deployed network and physical infrastructure
Collaborate with network design and architecture teams to implement scalable deployment standards and contribute to the development of new site service solutions
Support integration and field testing of new hardware and software platforms prior to production rollout
Partner with vendors and facilities teams to manage structured cabling, fiber-optic infrastructure, and physical layer dependencies at production sites
Participate in an on-call rotation to provide 24x7 support for production network infrastructure and respond to network incidents
Identify opportunities to leverage automation and AI-assisted tooling to streamline deployment workflows, reduce manual effort, and improve operational consistency
Contribute to team-level goals by sharing operational learnings, documenting best practices, and advising cross-functional partners on complex network matters

Minimum Qualifications:

6+ years of experience deploying, configuring, and operating large-scale production networks
Experience with physical network infrastructure including structured cabling, fiber-optic cabling, and data center facility operations
Experience working in multi-vendor network environments with hands-on exposure to enterprise or hyperscale networking hardware
Experience with network protocols including TCP/UDP, DHCP, and DNS, and hands-on experience with both IPv4 and IPv6 environments
Experience troubleshooting and configuring routing and switching protocols including BGP, IS-IS, MPLS, RSVP-TE, and VRRP
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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
Demonstrated use of AI tools to redesign or optimize network operations workflows, with measurable outcomes such as reduced deployment time or improved documentation accuracy
Experience with scripting and network automation using Python, Bash, or similar languages to improve deployment and operational workflows
Experience with 40G/100G Ethernet technologies and optical transport technologies including CWDM and DWDM
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with field-based network operations in data centers, colocation facilities, internet exchanges, or central offices
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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

$135,000/year to $191,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.