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Salary
≈ $111k – $269k per year (Estimated)
Location
In office (Dublin)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 13, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
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 Backbone network operations, 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.

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

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 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with field-based network operations 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) Experience with scripting and network automation using Python, Bash, or similar languages to improve deployment and operational workflows Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 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 40G/100G Ethernet technologies and optical transport technologies including CWDM and DWDM

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