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# Network Engineer (AI/Google Cloud Platform)

- **Company:** Innominds Software
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Private Networks, Wireless LAN, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Border Gateway Protocol, Cloud Computing, Dynamic Host Configuration Protocol, Decision Support Systems, Domain Name System (DNS), Virtual Private Networks (VPN), JSON, Python (Programming Language), Routing, Open Shortest Path First (OSPF), Operational Data Store, Ansible, Simple Network Management Protocols, Syslog, TCP/IP, Wide Area Networks, YAML, Data Logging, Network Switches, Google Cloud, Cloud Platform System, Cloud Monitoring, Large Language Models, Generative AI, Git, Performance Monitor, Firewall Services Module, Restful APIs, Open Network Automation Platform, Cisco
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/3f24faec-b0cd-4d85-95ad-3532ebb87bfa

## About the Role

* Enterprise networking: routing, switching, WAN/LAN/WLAN, BGP, OSPF, TCP/IP, DNS, DHCP, VPNs
 * Cisco routing/switching, Cisco SD-WAN, and Cisco Meraki
 * Python, REST APIs, JSON/YAML, Git, and network automation frameworks
 * Ansible or similar automation technologies
 * Network telemetry, monitoring platforms, SNMP, syslog, APIs, and operational data
 * Cloud networking and hybrid enterprise/cloud architectures
 * Production automation at enterprise scale with appropriate validation and controls

Strongly Preferred Skills

 * Google Cloud Platform networking and APIs, including VPCs, routing, firewall policies, VPN/Interconnect, Cloud Monitoring, and Cloud Logging
 * Claude Code or similar AI-assisted development tools
 * Generative AI, LLMs, AI agents, anomaly detection, or ML applied to infrastructure/operations
 * Large geographically distributed enterprise networks
 * Dashboards, health scores, proactive monitoring, or exception-management solutions

## Description

* Identify and automate repetitive, high-volume Network Engineering and Operations activities.
 * Build production-ready automation for configuration, validation, monitoring, troubleshooting, remediation, and reporting.
 * Integrate Cisco, Meraki, Google Cloud Platform, monitoring-platform, and other enterprise APIs into automation workflows.
 * Develop proactive exception-management capabilities that identify poorly performing locations, circuits, devices, wireless environments, and cloud connections.
 * Analyze and correlate telemetry, alarms, logs, configurations, incidents, and performance data to surface meaningful issues and reduce alarm noise.
 * Apply generative AI/LLMs to troubleshooting, configuration and incident analysis, documentation, and operational decision support.
 * Use Claude Code or comparable AI-assisted development tools to accelerate scripting, API integration, testing, documentation, and automation development.
 * Develop network-health reporting, anomaly detection, configuration/compliance validation, and safe automated remediation for appropriate low-risk conditions.
 * Document solutions and transfer code, frameworks, practices, and knowledge to the internal Network Engineering team.