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Meta Platforms

Network Engineer, Foundation & Support

rayville, LA

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About this opportunity

Meta Platforms lists this Network Engineer, Foundation & Support opportunity in rayville, Louisiana. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Network Engineer, Foundation & SupportMeta is seeking a Network Engineer to join the Foundation and Support team, focused on the deployment, operations, and lifecycle management of enterprise network services (ENS) that underpin Meta's site infrastructure. In this role, you will plan, deploy, and operationalize network systems that support Meta's physical sites globally, ensuring reliable connectivity and service continuity across campus and facility environments. You will drive incident response, change management, and cross-functional collaboration with vendors and internal teams, while leveraging AIOps and automation to enhance network reliability and operational efficiency.Plan and execute end-to-end deployment of enterprise network services across Meta's physical sites, including LAN, WAN, wireless, and access layer infrastructureEvaluate site-specific network requirements and design deployment architectures that align with foundation infrastructure standards and capacity targetsLead incident response for network outages, performing root cause analysis, coordinating remediation efforts, and implementing corrective actions to prevent recurrenceDrive change management processes for network infrastructure updates, ensuring proper review, testing, and rollout procedures are followedCollaborate with vendors, site operations, facilities, and cross-functional infrastructure teams to coordinate network initiatives and resolve complex issuesDevelop and maintain deployment runbooks, network topology documentation, and configuration standards for enterprise site servicesLeverage AIOps tools and automation to accelerate network provisioning, anomaly detection, configuration validation, and operational reportingAnalyze network performance data and incident trends to inform proactive improvements to site network reliability and deployment qualityAdvise cross-functional partners on complex site network matters, including capacity planning, technology refresh cycles, and deployment sequencingTrack deployment milestones and operational metrics, surfacing risks early and communicating progress to stakeholders and leadershipBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceExperience leading incident response and troubleshooting for network outages in enterprise environments6+ years of experience in network engineering, with a focus on enterprise network deployment, operations, and site services infrastructureExperience coordinating with vendors and cross-functional teams including facilities, site operations, and infrastructure engineering6+ years of experience designing, deploying, and operating LAN, WAN, and wireless network environments at scale across multiple physical sitesExperience with network configuration and provisioning automation using scripting languages such as Python or Ansible Industry certifications in network engineering such as CCNP, CCIE, or equivalent demonstrating depth in enterprise networking technologiesExperience with AIOps platforms, network observability tooling, and automation frameworks used to enhance operational efficiency and incident detectionExperience deploying enterprise network services in large-scale campus or data center environments, including structured cabling, access switching, and wireless access point infrastructureExperience developing or refining network automation pipelines that reduce manual provisioning effort and configuration driftExperience with change management processes and ITSM tools for network infrastructure updatesDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Worksite address

rayville, LA, 71269, US

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