Production Network Engineer, Design

Meta•Quinte West, ON

12h•$184,000 - $257,000

About The Position

The Network Infrastructure team designs, builds, and operates Meta’s global network, which supports Meta products and experiences. Production Network Engineers are hybrid software and network engineers who design, build, and operate worldwide network infrastructure across backbone, data center, and edge domains. The team owns the network lifecycle, including planning, design, product definition, quality assurance, deployment, and monitoring. In this role, you will conceive network design solutions and develop and deploy network software, systems, and tools to maintain reliability, scalability, and efficiency. The work includes addressing datacenter network scaling challenges, supporting billions of people using Meta’s apps, and tackling networking challenges related to AI workloads.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
An engineering degree, a related technical discipline, or equivalent experience.
8+ years of relevant experience developing scalable and reliable systems and/or networks.
Experience configuring and maintaining network devices and NMS systems, or applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
Experience developing and understanding network device configurations for at least one vendor, such as Juniper, Cisco, Arista, or Brocade.

Nice To Haves

Experience with network hardware, optics, and fiber connectivity products, including evaluating trade-offs between hardware architectures.
Ability to integrate AI tools to optimize or redesign workflows and deliver measurable impact, such as efficiency gains or quality improvements.
Ability to use AI-assisted workflows to accelerate design population, automate testing, and improve tooling, quality, and delivery speed.
Ability to develop and maintain fiber connectivity solutions using automation tools, preserve data integrity across design-to-deployment pipelines, and streamline workflows between design systems and infrastructure databases.
Understanding of physical network infrastructure, including rack solution design and inter-rack and intra-rack fiber connectivity design.
Experience automating design synthesis and delivering Physical Design Plans (PDPs) for complex backend and frontend network topologies, including AI/GPU cluster fabrics, ring interconnects, and backbone aggregation layers.
Ability to collaborate with deployment and operations teams to resolve BOM variances, validate configurations, and deliver production-ready network builds on aggressive timelines.
Experience coding in higher-level languages such as Python, C++, Go, or Rust, and experience learning software, frameworks, and APIs.
Ability to collaborate with NPI teams on qualification for new network platforms and optics, using a principled framework to determine testing depth from full end-to-end validation to targeted feature qualification.
Experience implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Experience with network topologies, including scale-out and scale-up fabrics, multi-planar solutions, and disaggregated solutions, and understanding of their trade-offs.
Experience rendering high-level and low-level topological and configuration design artifacts.
Experience with routing protocols and routing design, including design synthesis and verification frameworks, and ability to deploy centralized and hybrid routing solutions.
Ongoing AI skill development, such as prompt and context engineering or agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Establish and implement global best practices and design scalable network solutions.
Build and maintain automation and tools for new product introductions, network deployment, release engineering, and operations.
Design and develop solutions that scale across different network equipment hardware platforms.
Enhance automation for continuous integration, validation, testing infrastructure, releases, and configuration management across global backbone, data center, and edge networks.
Work with hardware, software, and sourcing teams to develop networking solutions and influence future networking infrastructure.
Investigate complex technical issues across networks, including automated tooling, hardware failures, and network issues.
Improve operational processes and implement them in scalable, automated workflows.
Identify roadblocks and deliver automation solutions to improve operational efficiency across peer and cross-functional teams.
Identify gaps affecting multiple teams, develop execution plans, lead projects, and influence other teams toward their goals.
Participate in an on-call rotation and use production lessons to improve current and future products.
Contribute to team growth and development through peer mentorship.