Network Engineer (AI/Google Cloud Platform)
Innominds Software
United States
23 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
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
+23 more
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
Job 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.
Requirements
- 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
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