DevOps Network & Observability Engineer (w/m/d) - AI & Automation
Core
Designing and optimizing network observability solutions by integrating network, application, infrastructure, and cloud monitoring data to enable AI-driven anomaly detection and root-cause analysis.
Role type
Senior DevOps Network & Observability Engineer (AI & Automation)
Builds
End-to-End observability platforms and automated monitoring solutions for enterprise environments
Domain
Insurance / Network Engineering & Observability
Deliverable
dashboards & analysis
Required skills
TCP/IP, IP addressing, Subnetting, Routing, WAN/LAN/WLAN/SD-WAN, DNS, Firewalling, Cloud/Hybrid Networking, Network Monitoring, End-to-End Observability, AIOps, Anomaly Detection, Root-Cause Analysis, Automation, Scripting, API integration
Preferred skills
Dynatrace, Splunk, SNMP, Syslog, NetFlow/IPFIX, Streaming Telemetry, OpenTelemetry, Python, PowerShell, Ansible, Terraform, Git, Incident/Problem/Change Management
Technologies
Dynatrace, Splunk, Microsoft Azure, ExpressRoute, TCP/IP, SD-WAN, Python, PowerShell, Ansible, Terraform, Git
Responsibilities
Analyze complex network and connectivity scenarios across WAN, LAN, WLAN, SD-WAN, DNS, and firewall environments; Develop technical KPIs, dashboards, alerting, and monitoring concepts; Utilize AI and AIOps for anomaly detection, event correlation, and root-cause analysis; Develop automations for monitoring, data analysis, and network operations processes; Support incidents and major incidents with structured root-cause analysis; Define technical requirements and validate external service provider solutions.
Seniority
Senior, hands-on IC
