
Network Production Engineer, Design
Required skills
- Data Center Network
- Network Design
- Network Automation
- Network Operations
- BGP
- IS-IS
- OSPF
- MPLS
- RSVP-TE
- TCP/UDP
Nice to have
- AI Tools
- AI Optimization
- Workflow Redesign
- Efficiency Gains
- Quality Improvements
- Responsible AI
Role summary
Meta is seeking a Data Center Network Engineer with a hybrid software and network engineering background to design, build, and operate its global data center network. This role involves the full lifecycle of network management, from planning and design to deployment and monitoring, with a focus on elegant, scalable network design, automation, and data analytics. Responsibilities include designing network topologies, developing routing policies, creating deployment packages, establishing best practices, and collaborating with internal teams and vendors on network platform development. The role requires 8+ years of experience in large-scale network design, deployment, and operation, proficiency in routing protocols, network protocols, and programming languages like Python for automation. Experience in multi-vendor environments, physical infrastructure, and project management is also essential. Preferred qualifications include AI integration for workflow optimization and familiarity with Linux and advanced optical technologies.
Responsibilities
- Design network topologies and configuration for the Data Center Fabric networks
- Develop IP addressing and routing policy intent in the DC
- Create deployment packages and maintain as-built documentation for installed network gear
- Establish and implement global best practices and contribute to the design and implementation of new scalable network solutions
- Define and partner with network hardware, software, and vendor teams on the development of network platforms (switch and optics)
- Partner with the in-house Software Engineers, Tooling, Planning, Simulation, and Delivery teams to codify the network designs
- Participate in an on-call rotation to support the global datacenter network infrastructure 24x7
Minimum 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 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
Preferred Qualifications
- 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)
$184,000/year to $257,000/year + bonus + equity + benefits
Sample Facebook interview questions
- 1
Design an AI data product
system designmedium - 2
Design a timer system
system designmedium - 3
Design Instagram
system designmedium - 4
Design Messenger
system designaverage - 5
Is this a valid palindrome?
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