Network Production Engineer, Design

The Meta Game, Inc.
Menlo Park, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$184,000.0 - $257,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Border Gateway Protocol C++ (Programming Language) Computer Networks Computer Engineering System Configuration Wavelength-Division Multiplexing Data Centers Dynamic Host Configuration Protocol Domain Name System (DNS) Ethernet Networking Hardware
+19 more
IP Addressing IPv4 IPv6 Multi-protocol Systems Python (Programming Language) Linux System Administration Network Architecture Network Planning and Design Routing Network Protocols Open Shortest Path First (OSPF) Transmission Control Protocol (TCP) Computer Networking Systems Application Specific Integrated Circuits Data Center Networking Information Technology Data Analytics Golang Programming Languages

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., 1. Design network topologies and configuration for the Data Center Fabric networks

  1. Develop IP addressing and routing policy intent in the DC
  2. Create deployment packages and maintain as-built documentation for installed network gear
  3. Establish and implement global best practices and contribute to the design and implementation of new scalable network solutions
  4. Define and partner with network hardware, software, and vendor teams on the development of network platforms (switch and optics)
  5. Partner with the in-house Software Engineers, Tooling, Planning, Simulation, and Delivery teams to codify the network designs
  6. Participate in an on-call rotation to support the global datacenter network infrastructure 24x7

Requirements

  1. Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  2. 8+ years of work experience responsible for designing, deploying and operating large-scale networks
  3. Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, OSPF, MPLS, RSVP-TE)
  4. Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
  5. Experience working in a multi-vendor environment with hands-on experience with networking hardware
  6. Experience in at least one programming language like Python, Go, C/C++ for developing automation software or tooling
  7. Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
  8. Experience managing multiple projects simultaneously and deliver against deadlines
  9. Experience working in global team environments and solve complex problems
  10. Experience leading technical design decisions, architecture reviews, or cross-team engineering initiatives, 1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  11. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  12. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  13. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  14. Familiarity with Linux-based systems
  15. Working knowledge of 400/800G Ethernet and CWDM, DWDM and optical transport network technologies
  16. Understanding of different Optics and internals of a switch ASIC
  17. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  18. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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