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Network Production Engineer, Infrastructure

Meta
Menlo Park, CA$122k–$181kPosted Aug 4, 2026
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Network Production Engineer, Infrastructure

Meta Menlo Park, CA

Network Production Engineer, Infrastructure

Meta Menlo Park, CA 3 days ago Be among the first 25 applicants

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Meta provided pay range

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Base pay range

$122,000.00/yr - $181,000.00/yr 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. Network Production 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 the scaling challenges of supporting billions of people using our family of apps; to cutting-edge challenges in AI workloads that power new Meta products.

Network Production Engineer, Infrastructure Responsibilities:

  • Conceptualize, build, and maintain automation and tools to support New Product Introductions, 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
  • Help increase operational efficiency between peers and cross-functional teams by identifying roadblocks, designing and delivering automation solutions, and driving change
  • Proactively find gaps that impact multiple teams, come up with the execution plan and drive the project and influence other teams to reach there
  • Design and develop solutions that scale across a variety of hardware platforms of network equipment
  • Lead enhancements of automation for continuous integration, validations, testing infrastructure, release, and configuration management across our global backbone, data center, and edge networks
  • Develop operational process improvements and implement them in scalable, automated workflows to enhance operational efficiency
  • Participate in an on-call rotation with the rest of the team
  • Hardware evaluation and vendor management

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 2+ years of experience with planning, designing, building and/or operating scalable systems/networks
  • 2+ years of coding experience in at least one programming language (e.g. Python, Go, C++, or Java), and rapidly learning new development languages
  • 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.)

Preferred Qualifications:

  • 2+ years experience in network automation software leveraging software defined networking principles
  • Network design experience and capacity planning in multifaceted networks
  • Experience managing multiple projects simultaneously and delivering against deadlines
  • Experience with 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)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated 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.

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 accommodations-ext@meta.com.

$122,000/year to $181,000/year + bonus + equity + benefits

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.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Management and Manufacturing

  • Industries

    Technology, Information and Internet

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