Network Engineer, Operations & Support Responsibilities:

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

Minimum Qualifications:

• 6+ years of experience in production network operations, including hands-on troubleshooting of routing, switching, and transport protocols in large-scale environments
• Experience with network protocols including BGP, OSPF, IS-IS, MPLS, and Ethernet at scale
• Experience operating in on-call, incident-driven environments with accountability for restoration timelines and stakeholder communication
• Experience executing and validating network configuration changes in production environments with change management discipline
• Experience collaborating with engineering and cross-functional teams to align on operational priorities and communicate technical tradeoffs

Preferred Qualifications:

• Experience supporting large-scale data center or backbone network environments, including optical transport and interconnect operations
• Demonstrated ability to integrate AI tools to optimize operational workflows and drive measurable improvements in efficiency or quality
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Familiarity with network observability platforms, telemetry pipelines, and alerting frameworks used to monitor production infrastructure health
• Experience with network automation and scripting (e.g., Python, Ansible) to reduce manual operational toil and improve repeatability
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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