Network Production Engineer, Network.AI

Meta; City of Westminster; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Meta seeks a Production Network Engineer to design, build and operate our global backbone, data center, and AI network. You will develop automation, tooling, and monitoring to keep networks reliable and scalable at scale.

You will work across hardware platforms (Juniper, Cisco, Arista) and software teams to deliver end-to-end network solutions. Join a hybrid role with on-call rotation, contribute to incident response, and mentor peers while growing expertise in AI workloads and network

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related field.
• 6+ years of experience designing, building, and operating scalable networks.
• Strong programming skills in at least one language (Python, C++, Go).

Responsibilities

• Design and implement scalable network solutions for backbone, data center, and AI workloads.
• Develop automation tools for deployment, CI, testing, and config management.
• Lead on-call responses and drive continuous improvement across cross-functional teams.

Skills

Python

C++

Go

TCP/IP

Education

Bachelor's degree in Computer Science, Computer Engineering or related field

Tools

Juniper

Cisco

Arista

Brocade

NMS systems

Job description

The Network Infrastructure team is responsible for designing, building, and operating one of the largest networks in the world. Networking is at the core of all Meta products and experiences, and we are looking for Network Production Engineers who are interested in solving complex technical challenges in the Backbone, Datacenter, and AI Network domains. The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges in the datacenter network domain. We create new and innovative ways of designing and operating our global datacenter networks and do it at scale with efficiency. Production Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide network. This team owns the complete lifecycle of the network, which includes areas of planning, design, product definition, QA, deployment, and monitoring. Simple, elegant, and scalable network design, automation, and data analytics are the keys to meeting our demands. In this role, you will be part of a team that is responsible for conceiving design solutions, developing and deploying network software, systems, and tools that keep the network operating at maximum reliability, scalability, and efficiency.This role offers an opportunity to solve scaling challenges supporting billions of people using our family of apps, as well as cutting-edge challenges in AI workloads that power new Meta products.Network Production Engineer, Network.AI Responsibilities:Establish and implement global best practices and design new scalable network solutionsConceptualize, build, and maintain automation and tools to support new product introductions, network deployment, release engineering, and operationsDesign and develop solutions that scale across a variety of hardware platforms of network equipmentLead enhancements of automation for continuous integration, validations, testing infrastructure, release, and configuration management across our global backbone, data center, and edge networksWork closely with our hardware, software, and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructureConduct thorough investigations into complex technical issues across networks, ranging from automated tooling to hardware failures and network issuesDevelop operational process improvements and implement them in scalable, automated workflows to enhance operational efficiencyHelp increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving changeProactively identify gaps that impact multiple teams, develop execution plans, drive projects to completion, and influence other teams to align on solutionsParticipate in an on-call rotation to learn from real-world production challenges and take the lessons to improve current and future generation productsContribute to team growth and development through peer mentorshipMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of experience planning, designing, building, and/or operating scalable and reliable systems and/or networksExperience coding in at least one programming language (e.g., Python, C++, Go, Rust, or Java) and rapidly learning new development languages, software, frameworks, and APIsDemonstrated knowledge of TCP, IPv4/6, Routing Protocols (one or more of BGP, MPLS, ISIS, or similar), and related network services (e.g., DHCP and DNS)Experience developing and understanding network device configuration in multi-vendor environments (Juniper, Cisco, Arista, Brocade, etc.)Experience in configuration and maintenance of network devices and NMS systems, or applications such as web servers, load balancers, relational databases, storage systems, and messaging systemsHardware evaluation and vendor management experiencePreferred Qualifications:Proven experience designing, developing, and operating distributed systems at scale, with an in-depth understanding of the challenges and opportunities in this spaceExperience designing and maintaining automated testing infrastructure to ensure the quality and reliability of network systems and toolingMaster's degree or graduate work experience in Computer Science, Computer Engineering, or a related technical fieldDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesIn-depth knowledge of software and network debugging, profiling, and instrumentation techniques to ensure optimal system performanceKnowledge of IB/RDMA/RoCE Networks, including RDMA congestion control mechanisms, AI training workloads and demands they exert on networksExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)6+ years of experience building software solutions for managing network infrastructure, with a focus on scalability and reliabilityDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)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.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.