Production Network Engineer

Meta; United States; On-site; USD 162,000 - 227,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Production Network Engineering team designs, deploys, and operates large-scale data center and backbone networks to support billions of connections and AI workloads.

You will lead design and strategy, drive automation, own incident response, and mentor engineers to scale network ops for evolving product demand.

Collaboration with architecture, capacity planning, and software teams is essential to optimize observability and tooling in a hyperscale environment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 8+ years of experience designing, deploying, and operating large-scale data center or backbone networks.
• Experience with routing protocols (BGP, OSPF, IS-IS) in production.
• Proficiency in Python or scripting for network automation and scaling.

Responsibilities

• Lead the design and delivery of large-scale production network projects spanning data center fabrics, backbone infrastructure, and edge network services.
• Define and drive the technical strategy and roadmap for network reliability, capacity, and operational efficiency.
• Develop and implement automation frameworks to reduce manual overhead and accelerate network design, build, and config management.
• Own cross-functional incident response and post-incident reviews to drive root cause analyses and systemic improvements.
• Collaborate with architecture, capacity planning, and software teams to align investments with AI/product demand.
• Establish operational standards, runbooks, and monitoring to improve observability and reduce MTTR.
• Mentor engineers and influence tooling and platform decisions across teams.
• Leverage AI-enabled workflows to speed network analysis and documentation.

Skills

BGP

OSPF

IS-IS

MPLS

Ethernet fabrics

Python scripting

Cross-functional leadership

Network reliability

Incident response

Stakeholder alignment

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Automation frameworks

Network observability platforms

Job description

Meta's global network infrastructure underpins billions of user connections and powers some of the world's most demanding AI and distributed computing workloads. The Production Network Engineering team is responsible for the design, deployment, operation, and continuous improvement of Meta's large-scale production network — spanning data centers, edge points of presence, and backbone interconnects. In this role, you will drive strategy and execution across complex network systems, lead cross-functional initiatives to improve reliability and performance, and apply deep subject matter expertise to solve problems at a scale few networks in the world match.

Production Network Engineer Responsibilities:

• Lead the design and delivery of large-scale production network projects spanning data center fabrics, backbone infrastructure, and edge network services
• Define and drive the technical strategy and roadmap for network reliability, capacity, and operational efficiency across multiple teams
• Develop and implement automation frameworks to reduce manual operational overhead and accelerate network design synthesis, network build and configuration management
• Own cross-functional incident response and post-incident review processes, driving root cause analysis and systemic improvements to reduce recurrence
• Identify and resolve complex network performance, routing, and reliability issues across multi-vendor, multi-protocol production environments
• Collaborate with network architecture, capacity planning, and software engineering teams to align infrastructure investments with evolving AI and product demand forecasts
• Establish and refine operational standards, runbooks, and monitoring frameworks to improve network observability and reduce mean time to detection and resolution
• Contribute to organizational strategy by defining scalable approaches to network operations and influencing tooling and platform decisions across engineering teams
• Mentor other engineers on network engineering best practices, operational discipline, and systems thinking across the production environment
• Leverage AI-integrated workflows to accelerate network analysis, anomaly detection, and documentation, sharing learnings to scale adoption across the team

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of experience in production network engineering, including design, deployment, and operations of large-scale data center or backbone network infrastructure
• Experience with routing protocols and network technologies including BGP, OSPF, IS-IS, MPLS, and large-scale Ethernet fabrics in a production environment
• Experience developing and deploying network automation using scripting or programming languages such as Python to manage configuration, provisioning, or monitoring at scale
• Experience leading cross-functional network reliability or infrastructure projects, including driving incident response, root cause analysis, and systemic remediation
• Experience influencing technical decisions and network strategy across multiple engineering teams through written proposals, design reviews, and stakeholder alignment

Preferred Qualifications:

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality and improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience operating and troubleshooting networks at hyperscale, including multi-vendor spine-leaf data center fabrics and global backbone interconnects
• Experience with network observability platforms, traffic engineering, and capacity modeling in high-throughput production environments
• Experience integrating AI tools to redesign network operations workflows and deliver measurable improvements in efficiency or reliability outcomes
• Familiarity with software-defined networking principles, network operating system internals, or co-development of network management platforms with software engineering teams
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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 Affidant 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].

$162,000/year to $227,000/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.