Senior Network Engineer (AI/Google Cloud Platform)
Role: Senior Network Engineer (AI/Google Cloud Platform) Location: Remote Duration: 6+ Months Key responsibilities 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. Required Skills 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 Thanks & Regards, Jagga Rao