Network Production Engineer: Automation & Scale

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

Job summary

Meta seeks a Production Engineer to own design, deployment, and operation of diverse datacenter networks. You will combine software and network skills to drive automation, lab validation, and production readiness across OOB, PON, FacNet, and DR environments.

You will code, configure, and optimize for scale, contributing to vendor engagements and cross-team collaboration while supporting on-call rotations and stringent SLA targets.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/CE.
• 6+ years in network engineering with design/architecture focus.
• 4+ years coding in Python, Go, or C++ for automation.
• Experience configuring devices across multiple vendors (Juniper, Cisco, Arista, Ciena).
• Proficient in BGP, OSPF, or ISIS configurations and tuning.
• Experience applying AI in engineering workflows.

Responsibilities

• Design, deploy, and maintain multi-vendor networks (OOB, PON, FacNet, DR) across data centers.
• Own full product lifecycle—from requirements to lab validation to production handoff.
• Write and review code; develop automation for deployment and config management.
• Drive New Platform Introduction from concept through lab validation to production handoff.
• Develop audits, health checks, and monitoring for fleet health and change control.
• Maintain vendor relationships and lead hardware evaluations.
• Define SLAs and metrics; report on network product performance.
• Collaborate cross-functionally and participate in on-call rotation.

Skills

Network design

Automation coding

AI integration

Vendor experience

BGP/OSPF/ISIS

Education

Bachelor's degree in CS/CE

Equivalent practical experience

Tools

Network equipment

RADIUS/TACACS

SNMP/NETCONF/gNMI

Job description

Meta seeks a Production Engineer to own design, deployment, and operation of diverse datacenter networks. You will combine software and network skills to drive automation, lab validation, and production readiness across OOB, PON, FacNet, and DR environments.

You will code, configure, and optimize for scale, contributing to vendor engagements and cross-team collaboration while supporting on-call rotations and stringent SLA targets.