Network Production Engineer: Automation & Scale

Meta; Menlo Park (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Production Engineer for the Network group to design, develop, and implement automation and tooling enabling scalable, reliable network operations for Meta’s vast data-center fleet. The role focuses on automating deployment, release engineering, and operations across global networks powering AI workloads.

The engineer will work at the intersection of low-level systems and distributed networks, contributing to production readiness and continuous improvement.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience developing software to automate operations.
• 5+ years of experience configuring network devices from at least one vendor (e.g. Arista, Cisco).
• 5+ years coding experience in Python, Go, or C++.

Responsibilities

• Conceptualize, build, and maintain automation and tools for network products and operations.
• Develop scalable automated workflows to improve operational efficiency.
• Design solutions that scale across multiple network platforms.
• Lead enhancements of automation for CI, testing, release, and configuration management.
• Investigate complex network issues, from tooling to hardware faults.
• Participate in weekly on-call rotations and serve as escalation contact.
• Identify operational gaps and drive execution with the team.
• Mentor peers and contribute to team growth.

Skills

Software automation

Network device configurations

Programming (Python/Go/C++)

TCP/IP networking

On-call / incident response

Education

Bachelor's degree in CS/Engineering or equivalent

Master's degree in CS/Engineering (preferred)

Job description

Meta seeks a Production Engineer for the Network group to design, develop, and implement automation and tooling enabling scalable, reliable network operations for Meta’s vast data-center fleet. The role focuses on automating deployment, release engineering, and operations across global networks powering AI workloads.

The engineer will work at the intersection of low-level systems and distributed networks, contributing to production readiness and continuous improvement.