Network Production Engineering, Infrastructure

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 Engineering, Infrastructure Responsibilities:

Establish and implement global best practices and design new scalable network solutions

Conceptualize, build, and maintain automation and tools to support network deployment, release engineering and operations

Conduct thorough investigations into complex technical issues across networks, ranging from automated tooling to hardware failures and network issues

Be on-call to learn from real world production challenges and take the lessons to improve current and future generation products

Help increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving change

Develop operational process improvements and implement them in scalable, automated workflows to enhance operational efficiency

Proactively identify gaps that impact multiple teams, develop execution plans, drive projects to completion, and influence cross-functional teams to achieve shared goals

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of experience with planning, designing, building and/or operating scalable systems/networks4+ years of coding experience in at least one programming language (e.g. Python, Go, C++, or Java), and with willingness to learn new development languages as needed

Demonstrated 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.)Hardware evaluation and vendor management

Experience developing software using AI models

Preferred Qualifications:

4 years experience in network automation software leveraging software defined networking principles4+ years of experience in routing and switching - hardware design and knowledge of forwarding and data planes

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Network design experience, Traffic engineering and capacity planning in multifaceted networks

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Modern data center architectures (spine-leaf, fabric)
Experience working in global team environments to solve problems

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling

Experience managing multiple projects simultaneously and deliver against deadlines

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 Whats App 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…