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# Network Engineer, Operations & Support

- **Company:** The Meta Game, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $191,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Border Gateway Protocol, Big Data, Ethernet, Network Topologies, Multi-protocol Systems, Python (Programming Language), Network Layer, Network Configuration and Change Management, Network Architecture, Routing, Network Service, Network Protocols, Open Shortest Path First (OSPF), Ansible, Runbook, Datadog, Scripting, Computer Network Operations, Break Fix, Transport Protocols, Open Network Automation Platform
- **Published:** July 9, 2026
- **Apply:** https://dejobs.org/x/x/9A88D8A66DA3438683A18447F4B2CFDE/job/

## About the Role

11. 6+ years of experience in production network operations, including hands-on troubleshooting of routing, switching, and transport protocols in large-scale environments
 12. Experience with network protocols including BGP, OSPF, IS-IS, MPLS, and Ethernet at scale
 13. Experience operating in on-call, incident-driven environments with accountability for restoration timelines and stakeholder communication
 14. Experience executing and validating network configuration changes in production environments with change management discipline
 15. Experience collaborating with engineering and cross-functional teams to align on operational priorities and communicate technical tradeoffs, 16. Experience supporting large-scale data center or backbone network environments, including optical transport and interconnect operations
 17. Demonstrated ability to integrate AI tools to optimize operational workflows and drive measurable improvements in efficiency or quality
 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 19. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 20. Familiarity with network observability platforms, telemetry pipelines, and alerting frameworks used to monitor production infrastructure health
 21. Experience with network automation and scripting (e.g., Python, Ansible) to reduce manual operational toil and improve repeatability
 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

## Description

Meta is seeking a Network Engineer to support the reliability and performance of its production network infrastructure. In this role, you will own operational responsibilities across network systems that underpin Meta's global services, driving incident response, change execution, and continuous improvement across production environments. You will work closely with network engineering, deployment, and cross-functional operations teams to ensure network services meet reliability and performance standards at scale., 1. Own incident response and troubleshooting for production network issues, including fault isolation, root cause analysis, and coordinating restoration across network layers

 2. Execute and validate network changes, including device configurations, routing policy updates, and capacity adjustments in production environments
 3. Monitor production network health using observability tooling and telemetry, identifying anomalies and driving resolution before customer impact occurs
 4. Participate in on-call rotations and lead operational response to network events, communicating status, risks, and mitigation plans to stakeholders
 5. Contribute to root cause analysis and post-incident reviews, identifying systemic gaps and driving corrective actions to reduce repeat incidents
 6. Partner with network engineering and deployment teams to support network builds, expansions, and migrations, validating operational readiness prior to cutover
 7. Identify opportunities to improve operational workflows, runbooks, and automation to increase reliability and reduce time-to-resolution
 8. Maintain accurate documentation of network topology, configurations, and operational procedures to support handoffs and audit requirements
 9. Advise cross-functional partners on network operational constraints and tradeoffs when evaluating changes or new deployments
 10. Leverage AI-integrated workflows to accelerate diagnostics, streamline documentation, and improve operational efficiency across the team


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