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Skills: Network Engineering, Data Center Fabrics, BGP, OSPF, IS-IS
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Site Logistics Operations Specialist (Third Shift)
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Menlo Park, California, United States · On-site
$150k–$209k/yr
Senior$80B raised
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$135k–$191k/yr
Full-time
bachelor degree
Bonus, Equity, Health Insurance
Posted 15d ago
~40 hrs/week
Responsibilities
Lead the design, delivery, and operational strategy of large-scale production network infrastructure including data center fabrics and backbone services. Drive cross-functional initiatives to improve network reliability, performance, and automation while managing incident response and systemic root cause analysis.
Requirements
Requires a Bachelor's degree in a technical field and at least 6 years of experience in production network engineering. Candidates must demonstrate proficiency in routing protocols, network automation with Python, and experience leading large-scale infrastructure projects.
Full job description
Meta's global network infrastructure underpins billions of user connections and powers some of the world's most demanding AI and distributed computing workloads. The Production Network Engineering team is responsible for the design, deployment, operation, and continuous improvement of Meta's large-scale production data center networks. In this role, you will drive strategy and execution across complex network systems, lead cross-functional initiatives to improve reliability and performance, and apply deep subject matter expertise to solve problems at a scale few networks in the world match.
Responsibilities
Lead the design and delivery of large-scale production network projects spanning data center fabrics, backbone infrastructure, and edge network services
Define and drive technical strategy and roadmap contributions for network reliability, capacity, and operational efficiency across multiple teams
Develop and implement automation frameworks to reduce manual operational overhead and accelerate network design synthesis, build processes, and configuration management
Own cross-functional incident response and post-incident review processes, driving root cause analysis and systemic improvements to reduce recurrence
Identify and resolve complex network performance, routing, and reliability issues across multi-vendor, multi-protocol production environments
Collaborate with network architecture, capacity planning, and software engineering teams to align infrastructure investments with evolving AI and product demand forecasts
Establish and refine operational standards, runbooks, and monitoring frameworks to improve network observability and reduce mean time to detection and resolution
Contribute to team-level goals by defining scalable approaches to network operations and influencing tooling and platform decisions across engineering teams
Advise other engineers on network engineering best practices, operational discipline, and systems thinking across the production environment
Leverage AI-integrated workflows to accelerate network analysis, anomaly detection, and documentation, sharing learnings to scale adoption across the team
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience in production network engineering, including design, deployment, and operations of large-scale data center or backbone network infrastructure
Experience with routing protocols and network technologies including BGP, OSPF, IS-IS, MPLS, and large-scale Ethernet fabrics in a production environment
Experience developing and deploying network automation using scripting or programming languages such as Python to manage configuration, provisioning, or monitoring at scale
Experience leading cross-functional network reliability or infrastructure projects, including driving incident response, root cause analysis, and systemic remediation
Experience influencing technical decisions and network strategy across engineering teams through written proposals, design reviews, and stakeholder alignment
Preferred Qualifications
Experience operating and troubleshooting networks at hyperscale, including multi-vendor spine-leaf data center fabrics and global backbone interconnects
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
Familiarity with software-defined networking principles, network operating system internals, or co-development of network management platforms with software engineering teams
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with network observability platforms, traffic engineering, and capacity modeling in high-throughput production environments
Experience integrating AI tools to redesign network operations workflows and deliver measurable improvements in efficiency or reliability outcomes
$135,000/year to $191,000/year + bonus + equity + benefits
Related keywords
Network EngineeringData CenterBackbone InfrastructureBGPOSPFIS-ISMPLSEthernet FabricsPythonAutomationIncident ResponseRoot Cause AnalysisCapacity PlanningNetwork ObservabilityAISpine-leaf
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Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US