Network Production Engineer, Network.AI

Meta; Seattle (WA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Network Production Engineer to design, build, and operate our global backbone, data center, and AI networks. You will create scalable network solutions, develop automation tools, and lead CI/testing enhancements across our hybrid infrastructure.

Collaborate with hardware, software, and sourcing teams to push forward scalable networking at scale. You will work on complex issues across networks, contribute to operational improvements, and participate in on-call rotations while

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 6+ years of experience designing, building, and operating scalable networks.
• Experience coding in at least one language (Python, C++, Go, Rust, or Java).
• Knowledge of TCP, IPv4/IPv6, routing protocols (e.g., BGP, MPLS, ISIS).
• Experience with multi-vendor network devices and NMS systems.

Responsibilities

• Establish and implement global best practices; design scalable network solutions.
• Conceptualize, build, and maintain automation/tools for product introductions and deployments.
• Design and develop solutions that scale across hardware platforms of network equipment.
• Lead automation enhancements for CI, validation, testing, release, and configuration management.
• Collaborate with hardware, software, and sourcing teams to influence future networking infra.
• Investigate complex issues across networks, from tooling to hardware failures.
• Develop operational processes and automate workflows to improve efficiency.
• Participate in on-call rotation and mentor team members.

Skills

TCP/IP

Routing protocols

Python

C++/Go/Rust/Java

Network automation

Multi-vendor NMS/devices

Education

Bachelor's degree in CS/CE or related

Master's degree or graduate work

Tools

Juniper

Cisco

Arista

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 find gaps that impact multiple teams, come up with the execution plan, drive the project, and influence other teams to reach thereParticipate 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:Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Knowledge of IB/RDMA/RoCE Networks, including RDMA congestion control mechanisms, AI training workloads and demands they exert on networksProven experience designing, developing, and operating distributed systems at scale, with an in-depth understanding of the challenges and opportunities in this space6+ 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)In-depth knowledge of software and network debugging, profiling, and instrumentation techniques to ensure optimal system performanceExperience designing and maintaining automated testing infrastructure to ensure the quality and reliability of our systemsMaster's degree or graduate work experience in Computer Science, Computer Engineering, or a related technical fieldAbout 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 [e-mail].$154,000/year to $217,000/year + bonus + equity + benefitsIndividual 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.