Network Production Engineer, Delivery Engineering

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 massive backbone, data center, and AI network infrastructure. You will own automation, tooling, and CI pipelines across global networks, partnering with hardware, software, and sourcing teams to deliver scalable solutions.

You will contribute to continuous improvement, handle on-call rotations, mentor peers, and help advance AI-enabled networking initiatives at scale across Meta's global network footprint.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of experience with planning, designing, building and/or operating scalable systems/networks
• 4+ years of coding experience in Python/Go/C++/Java, and willingness to learn new languages
• Knowledge of TCP, IPv4/6, BGP/MPLS/ISIS, DHCP/DNS
• Experience in multi-vendor network device configuration
• Hardware evaluation and vendor management
• Experience developing software using AI models

Responsibilities

• Establish and implement global best practices and design new, scalable network solutions
• Build and maintain automation and tools to support product introductions, network deployment, release engineering, and operations
• Design and develop solutions that scale across hardware platforms of network equipment
• Lead enhancements of automation for CI, validations, testing infrastructure, release, and configuration management
• Work with hardware, software, and sourcing teams to develop new networking solutions
• Investigate complex technical issues across networks, tooling, hardware failures and network issues
• Develop operational process improvements and implement scalable automated workflows
• Increase operational efficiency by identifying roadblocks and driving automation projects
• Identify gaps that impact multiple teams and drive execution plans
• Participate in on-call rotation and mentor the team

Skills

Automation

AI models

Networking fundamentals

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Python

Go

C++

Java

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, Delivery Engineering 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 their goals


10. Participate in an on-call rotation to learn from real-world production challenges and take the lessons to improve current and future generations of products


11. Contribute to the team's growth and development through peer mentorship

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience


2. 6+ years of experience with planning, designing, building and/or operating scalable systems/networks


3. 4+ 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


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


6. Hardware evaluation and vendor management


7. Experience developing software using AI models

Minimum Qualifications:

Preferred Qualifications:

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


2. 4+ years of experience in routing and switching - hardware design and knowledge of forwarding and data planes


3. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)


4. 4+ years of experience in network automation software leveraging software defined networking principles


5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)


6. Experience managing multiple projects simultaneously and deliver against deadlines


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


8. Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling


9. Experience working in global team environments to solve problems


10. Modern data center architectures (spine-leaf, fabric)

Preferred Qualifications:

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 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].