Senior Network Production Engineer: Automation & AI

Meta; Menlo Park (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Meta is seeking a Production Network Engineer to design, build, and operate a global backbone and datacenter network. You will work across planning, design, QA, deployment, and monitoring while advancing automation and AI-enabled workflows.

This hybrid role tackles scale, reliability, and efficiency at a massive global scale with cutting-edge AI workloads. The position emphasizes cross-functional collaboration, on-call incident handling, and delivering measurable improvements in network

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent.
• 6+ years designing, building, or operating scalable networks.
• 4+ years coding in Python, Go, C++, or Java; willing to learn more.
• Knowledge of TCP/IP, routing protocols, DHCP/DNS.
• Experience with multi-vendor network device configuration.

Responsibilities

• Establish and implement global best practices for scalable network solutions.
• Build and maintain automation/tools for deployment and operations.
• Investigate complex production issues across networks and tooling.
• On-call participation to improve future network products.
• Drive cross-functional improvements and automation to boost efficiency.
• Develop scalable workflows and operational processes.
• Identify gaps, plan execution, and influence teams to deliver.

Skills

TCP/IP networking

Routing protocols

Network automation

AI in networks

SDN / software development for nets

Traffic engineering

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Juniper

Cisco

Arista

Brocade

Job description

Meta is seeking a Production Network Engineer to design, build, and operate a global backbone and datacenter network. You will work across planning, design, QA, deployment, and monitoring while advancing automation and AI-enabled workflows.

This hybrid role tackles scale, reliability, and efficiency at a massive global scale with cutting-edge AI workloads. The position emphasizes cross-functional collaboration, on-call incident handling, and delivering measurable improvements in network