Network Production Engineer, Delivery Engineering
AI summary of the role
Meta's Network Infrastructure team seeks a hybrid software/network engineer to design, build, and operate one of the world's largest networks, spanning backbone, datacenter, and AI network domains.
What you’ll do
- Design and implement global best practices and scalable network solutions across backbone, datacenter, and edge networks
- Build and maintain automation and tools for network deployment, release engineering, and operations
- Lead automation enhancements for CI, validation, testing, and configuration management
- Collaborate with hardware, software, and sourcing teams to influence future networking infrastructure
What you’ll bring
- 8+ years of experience developing scalable and reliable systems and/or networks
- Bachelor's degree in CS/CE or equivalent practical experience
- Proficiency in higher-level languages (Python, C++, Go, Rust)
- Experience with network device configuration and maintenance (Juniper, Cisco, Arista, etc.)
Technologies
Python · C++ · Go · Rust · Juniper · Cisco · Arista · Brocade · Linux · NMS · switch ASIC · Optics
About Meta
Global social platform and advertising business (Facebook, Instagram, WhatsApp) expanding into AI agents, metaverse infrastructure, and cloud compute.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
The Network Infrastructure team is responsible for designing, building, and operating one of the largest networks in the world. Networking is at the core of all Meta products and experiences, and we are looking for Network Production Engineers who are interested in solving complex technical challenges in the Backbone, Datacenter, and AI Network domains. The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges in the datacenter network domain. We create new and innovative ways of designing and operating our global datacenter networks and do it at scale with efficiency. Production Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide network. This team owns the complete lifecycle of the network, which includes areas of planning, design, product
More from the job description
The Network Infrastructure team is responsible for designing, building, and operating one of the largest networks in the world. Networking is at the core of all Meta products and experiences, and we are looking for Network Production Engineers who are interested in solving complex technical challenges in the Backbone, Datacenter, and AI Network domains. The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges in the datacenter network domain. We create new and innovative ways of designing and operating our global datacenter networks and do it at scale with efficiency. Production Network Engineers at Meta are hybrid software and network engineers who design, build, and operate our worldwide network. This team owns the complete lifecycle of the 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 key to meeting our demand. 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 network operating at maximum reliability, scalability, and efficiency. This role offers an opportunity to solve scaling challenges supporting billions of people using our family of a [... source excerpt omitted ...] pact multiple teams, come up with the execution plan, drive the project, and influence other teams to reach their goals Participate in an oncall rotation to learn from real-world production challenges and take the lessons to improve current and future generation products Contribute to the team's growth and development through peer mentorship Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience 8+ years of relevant experience in developing scalable and reliable systems and
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