DataDog Integration Optimization: Configure, maintain, and extend DataDog monitoring solutions for cloud infrastructure, applications, and logs.
Monitoring Alerts: Develop custom dashboards, set up alerts, and monitor key performance indicators (KPIs) across various environments and services.
Performance Monitoring: Collect and analyse performance data, troubleshoot bottlenecks, and ensure the reliability and scalability of systems.
Collaboration: Work closely with product teams, development, and operations to identify monitoring needs and troubleshoot issues.
Cloud Infrastructure Management: Ensure observability of Azure cloud-based environments.
Incident Response Troubleshooting: Identify and resolve production issues using DataDog metrics, logs, and traces.
Documentation: Maintain documentation for DataDog configurations, monitoring procedures, and troubleshooting guides.
Job Classification
Industry: Management ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time