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