Production Network Engineer

Summary:Meta's global network infrastructure underpins billions of user connections and powers some of the world's most demanding AI and distributed computing workloads. The Production Network Engineering team is responsible for the design, deployment, operation, and continuous improvement of Meta's large-scale production network - spanning data centers, edge points of presence, and backbone interconnects. In this role, you will drive strategy and execution across complex network systems, lead cross-functional initiatives to improve reliability and performance, and apply deep subject matter expertise to solve problems at a scale few networks in the world match.Required Skills:Production Network Engineer Responsibilities:Lead the design and delivery of large-scale production network projects spanning data center fabrics, backbone infrastructure, and edge network servicesDefine and drive the technical strategy and roadmap for network reliability, capacity, and operational efficiency across multiple teamsDevelop and implement automation frameworks to reduce manual operational overhead and accelerate network design synthesis, network build and configuration managementOwn cross-functional incident response and post-incident review processes, driving root cause analysis and systemic improvements to reduce recurrenceIdentify and resolve complex network performance, routing, and reliability issues across multi-vendor, multi-protocol production environmentsCollaborate with network architecture, capacity planning, and software engineering teams to align infrastructure investments with evolving AI and product demand forecastsEstablish and refine operational standards, runbooks, and monitoring frameworks to improve network observability and reduce mean time to detection and resolutionContribute to organizational strategy by defining scalable approaches to network operations and influencing tooling and platform decisions across engineering teamsMentor other engineers on network engineering best practices, operational discipline, and systems thinking across the production environmentLeverage AI-integrated workflows to accelerate network analysis, anomaly detection, and documentation, sharing learnings to scale adoption across the teamMinimum Qualifications:Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience8+ years of experience in production network engineering, including design, deployment, and operations of large-scale data center or backbone network infrastructureExperience with routing protocols and network technologies including BGP, OSPF, IS-IS, MPLS, and large-scale Ethernet fabrics in a production environmentExperience developing and deploying network automation using scripting or programming languages such as Python to manage configuration, provisioning, or monitoring at scaleExperience leading cross-functional network reliability or infrastructure projects, including driving incident response, root cause analysis, and systemic remediationExperience influencing technical decisions and network strategy across multiple engineering teams through written proposals, design reviews, and stakeholder alignmentPreferred Qualifications: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)Experience operating and troubleshooting networks at hyperscale, including multi-vendor spine-leaf data center fabrics and global backbone interconnectsExperience with network observability platforms, traffic engineering, and capacity modeling in high-throughput production environmentsExperience integrating AI tools to redesign network operations workflows and deliver measurable improvements in efficiency or reliability outcomesFamiliarity with software-defined networking principles, network operating system internals, or co-development of network management platforms with software engineering teamsDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesPublic Compensation:$162,000/year to $227,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity: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 accommodations-ext@meta.com.