Network Production Engineer, Design

Meta; Menlo Park, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta in Menlo Park seeks a Data Center Network Engineer who blends software and networking to design, build, and operate our global data center network. You will develop automation and analytics to improve reliability and efficiency across planning, deployment, and monitoring.

This role emphasizes scalable design, multi-vendor collaboration, and responsible AI practices in a hybrid work setting. Ideal candidates will have extensive experience with routing protocols, Linux-based systems, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 8+ years of work experience responsible for designing, deploying and operating large-scale networks.
• Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, OSPF, MPLS, RSVP-TE).
• Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and IPv4/IPv6.

Responsibilities

• Design, build, and operate our worldwide Data Center network.
• Develop and deploy network software, systems, and tooling for reliability and efficiency.
• Collaborate across teams to drive architecture decisions and AI-enabled optimizations.

Skills

Routing protocols

Networking hardware

Programming automation

Linux systems

AI integration

Multi-vendor environment

Global collaboration

Project management

Ethical AI practices

Quality and reliability

Education

Bachelor's degree in CS/CE or related field

Tools

Python

Go

C/C++

Automation tooling

Job description

Data Center Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide Data Center network. This team owns the complete lifecycle of the Data Center 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 Data Center network operating at maximum reliability, scalability, and efficiency.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of work experience responsible for designing, deploying and operating large-scale networks
• Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, OSPF, MPLS, RSVP-TE)
• Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
• Experience working in a multi-vendor environment with hands-on experience with networking hardware
• Experience in at least one programming language like Python, Go, C/C++ for developing automation software or tooling
• Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
• Experience managing multiple projects simultaneously and deliver against deadlines
• Experience working in global team environments and solve complex problems
• Experience leading technical design decisions, architecture reviews, or cross-team engineering initiatives
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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)
• Familiarity with Linux-based systems
• Working knowledge of 400/800G Ethernet and CWDM, DWDM and optical transport network technologies
• Understanding of different Optics and internals of a switch ASIC
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)