The Infrastructure Network Engineering (INE) team within Core Networking designs and owns the datacenter management networks that underpin Meta's entire production IP network. Our products include out-of-band (OOB) management networks, disaster recovery infrastructure, passive optical networks (PON), and facilities networking (FacNet) — present in every datahall, every network rack, and every compute rack across Meta's global fleet.
INE is a design team with full product lifecycle ownership. You will drive network products from requirements and RFC through design specification, proof-of-concept lab validation, and production operational accountability. Our portfolio spans more device roles and vendors than almost any other networking team at Meta — backbone, server, VPN, TOR, aggregation, MACsec, and more. If you want to solve scaling problems across a broad technology landscape rather than specializing in a single protocol domain, this is the role.
As a Production Engineer in the network organization at Meta, you will combine the skills of a software and network engineer. You will use data analysis to influence design decisions and leverage automation to achieve the scale and velocity that Meta's AI-era data center growth demands.
Responsibilities Design, deploy, and maintain multi-vendor, multi-protocol infrastructure networks (OOB, PON, FacNet, DR) across every Meta datacenter and POP location
Own the full product lifecycle — from requirements gathering and RFC through design specification, POC lab validation, configuration artifacts, and production operational accountability
Write and review code, develop automation for the network deployment, configuration management, and release engineering workflow processes
Drive New Platform Introduction (NPI) from concept through lab validation to production handoff, collaborating with production engineering teams for productionization and delivery teams for delivery at scale
Develop audits, health checks, and monitoring to ensure network health and safe change management across the fleet
Maintain technical relationships with networking vendors (Juniper, Cisco, Arista, Ciena), drive roadmap alignment, and lead hardware evaluations
Define SLAs, implement metric collection and reporting for the network products you own
Proactively identify cross-team gaps across the product portfolio and drive resolution through cross-functional collaboration
Together with the rest of your team, share an oncall rotation and serve as an escalation contact for service incidents
Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6 years of work experience in network engineering, with emphasis on network design or architecture (not purely operations)
4+ years of work experience in coding in higher-level languages (e.g., Python, Go, C++), applied to network automation or infrastructure tooling
Experience in developing and understanding network device configuration for multiple vendors (Juniper, Cisco, Arista, Ciena, or an equivalent)
Protocol experience in one or more of BGP, OSPF, or ISIS — understanding of typical configurations and performance optimizations
Experience developing software using AI models or integrating AI tools into engineering workflows
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
Preferred Qualifications Experience with hardware evaluation, vendor management, and influencing network product roadmaps through cross-functional collaboration
Experience in configuration and maintenance of network management systems or applications such as authentication servers (RADIUS/TACACS), logging infrastructure, or collection systems (SNMP/NETCONF/gNMI)
Experience with IPSec for site-to-site or remote access VPNs
Experience with XGS-PON or passive optical network technologies. Experience with out-of-band management networks, disaster recovery network infrastructure, or facility networking
2+ years of experience in network design or architecture, with product ownership from concept through production
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Expert knowledge of TCP/IP and IPv6
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
$154,000/year to $217,000/year + bonus + equity + perks
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📌 Network Production Engineer (Ontario)
🏢 Meta
📍 Ontario