Network Production Engineer, Network.AI

Meta; Lansing (MI); 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. The role blends software and networking to deliver scalable, reliable infrastructure across Metas services.

You will develop network software, tooling, and automation, participate in on-call rotations, and collaborate with hardware and software teams to drive efficient operations in AI workloads and datacenter networks.

Qualifications

• Bachelor's degree or equivalent in a technical field; 6+ years building or operating scalable networks.
• Proficient in one or more programming languages (Python, C++, Go, Rust, Java).
• Experience with TCP/IP, IPv4/IPv6, routing (BGP, MPLS, ISIS).
• Experience configuring network devices across vendors (Juniper, Cisco, Arista).
• Familiarity with network services ( DHCP, DNS) and NMS systems.

Responsibilities

• Establish and implement global best practices and design scalable network solutions.
• Develop automation to support product introductions, deployment, and operations.
• Design and deploy solutions across multiple hardware platforms.
• Lead automation enhancements for CI, validation, testing, release, and config management.
• Collaborate with hardware, software, and sourcing teams to innovate networking infrastructure.
• Investigate complex network issues across tooling, hardware, and software.
• Improve operational processes with scalable, automated workflows.
• Identify roadblocks and drive cross-team automation initiatives.
• Participate in on-call rotation and share lessons to improve products.
• Mentor team members and contribute to team growth.

Skills

TCP/IP networking

Programming languages

Multi-vendor networking

Automation and scripting

On-call experience

Education

Bachelor's degree in CS/CE or equivalent

Master's degree preferred

Tools

Juniper

Cisco

Arista

Brocade

Job description

Summary:

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.

Required Skills:

Network Production Engineer, Network.AI Responsibilities:

1. Establish and implement global best practices and design new scalable network solutions
2. Conceptualize, build, and maintain automation and tools to support new product introductions, network deployment, release engineering, and operations
3. Design and develop solutions that scale across a variety of hardware platforms of network equipment
4. Lead enhancements of automation for continuous integration, validations, testing infrastructure, release, and configuration management across our global backbone, data center, and edge networks
5. Work closely with our hardware, software, and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
6. Conduct thorough investigations into complex technical issues across networks, ranging from automated tooling to hardware failures and network issues
7. Develop operational process improvements and implement them in scalable, automated workflows to enhance operational efficiency
8. Help increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving change
9. Proactively find gaps that impact multiple teams, come up with the execution plan, drive the project, and influence other teams to reach there
10. Participate in an on-call rotation to learn from real-world production challenges and take the lessons to improve current and future generation products
11. Contribute to team growth and development through peer mentorship

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 6+ years of experience planning, designing, building, and/or operating scalable and reliable systems and/or networks
3. Experience coding in at least one programming language (e.g., Python, C++, Go, Rust, or Java) and rapidly learning new development languages, software, frameworks, and APIs
4. 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)
5. Experience developing and understanding network device configuration in multi-vendor environments (Juniper, Cisco, Arista, Brocade, etc.)
6. 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 systems
7. Hardware evaluation and vendor management experience

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
3. Knowledge of IB/RDMA/RoCE Networks, including RDMA congestion control mechanisms, AI training workloads and demands they exert on networks
4. Proven experience designing, developing, and operating distributed systems at scale, with an in-depth understanding of the challenges and opportunities in this space
5. 6+ years of experience building software solutions for managing network infrastructure, with a focus on scalability and reliability
6. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
7. In-depth knowledge of software and network debugging, profiling, and instrumentation techniques to ensure optimal system performance
8. Experience designing and maintaining automated testing infrastructure to ensure the quality and reliability of our systems
9. Master's degree or graduate work experience in Computer Science, Computer Engineering, or a related technical field

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff... 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].