Network Automation & Observability Engineer

Pay Range: $47.00hr - $52.00hr Job Overview:
An experienced Network Engineer specializing in Network Tooling, Automation, and Observability is required to support the continued development and modernization of network engineering capabilities. The role will focus on the engineering, administration, integration, and automation of network management and observability platforms, including Thousand Eyes, Solar Winds, Infoblox DDI, Net Brain, and Service Now. The engineer will work across network engineering and platform capabilities to improve network observability, telemetry, automation, data quality, and operational insight.

A key part of the engagement involves developing integrations between network platforms using Python, scripting, and APIs, as well as applying modern Net Dev Ops  and software delivery practices to network engineering. The role will also support the evolution of data-driven network operations and AIOps by using network telemetry and operational data to improve visibility, proactively identify issues, correlate events, and enable automated remediation.

Key Responsibilities:

Engineer, operate, maintain, integrate, and enhance network tooling platforms including Thousand Eyes, Solar Winds, Infoblox DDI, Net Brain, and Service Now. Develop integrations between network platforms, devices, and supporting platforms, management tooling, and network services using REST APIs, Python, and scripting. Develop and enhance network observability capabilities using monitoring, telemetry, performance, and operational data. Design and implement network configuration automation and repeatable engineering workflows.

Develop reusable scripts, tooling, and automation to reduce manual engineering activity and improve consistency. Apply Net Dev Ops  and modern software delivery practices, including source control, versioning, testing, and CI/CD principles, to network engineering. Extract, transform, and analyze data from network platforms and APIs to provide actionable engineering and operational insights. Identify opportunities to apply AI and AIOps techniques to network operations, including event correlation, anomaly identification, automation, and onboarding or integrating AI Agents, Agent Skills, and Agent Workflows to deliver AIOps.

Integrate network tooling with operational workflows, including Service Now, to improve incident, event, and configuration processes. Troubleshoot complex issues spanning network infrastructure, tooling, APIs, integrations, automation, and data. Work with network engineering, architecture, operations, and platform teams to translate requirements into scalable engineering solutions. Produce and maintain technical documentation, integration designs, automation standards, and operational guidance. Contribute to engineering standards and reusable automation patterns across the Network Engineering function.

Required

Skills & Experience:

Strong Network Engineering background with a solid understanding of enterprise LAN/WAN, routing, IP networking, DNS, DHCP, and network management concepts. Strong hands-on Python and scripting experience, with evidence of developing network automation, tooling, or integration solutions rather than simply executing existing scripts. Strong API and systems integration experience, particularly REST APIs and integration between network management or enterprise platforms. Strong experience with network monitoring, management, and observability within complex enterprise environments.

Hands-on experience with one or more of the following platforms, with the ability to work across and integrate a broader network tooling ecosystem:
Thousand Eyes, Solar Winds, Infoblox DDI, Net Brain, Service Now, Cisco Meraki, Cisco Catalyst Center,…