Key Responsibilities
- Implement, configure, and maintain Datadog across hybrid environments, including on-premises and cloud infrastructure.
- Configure comprehensive monitoring for applications, services, infrastructure, and system performance.
- Integrate Datadog with monitoring and observability platforms such as SolarWinds and ThousandEyes.
- Develop and maintain Datadog dashboards, monitors, alerts, and reporting to provide real-time visibility into system performance, availability, and security.
- Create unified observability views to enable proactive incident detection, troubleshooting, and performance optimization.
- Collaborate with Development, Operations, DevOps, and Security teams to integrate monitoring and observability into CI/CD pipelines.
- Enable continuous monitoring and feedback across infrastructure, network, application, cloud, and digital experience layers.
- Optimize Datadog usage for cost efficiency, performance, and reliability while minimizing monitoring tool overlap.
- Configure Datadog, SolarWinds,



and ThousandEyes to complement each other and maximize monitoring capabilities.
- Evaluate current features and technologies across monitoring and observability platforms and implement improvements based on business requirements.
- Troubleshoot complex system and monitoring issues and provide actionable insights to technical teams.

Required Skills

Strong hands-on experience with Datadog Implementation & Configuration
Datadog Monitoring, Dashboards, Monitors & Alerts
Datadog Optimization in Hybrid Environments
Integration with SolarWinds and ThousandEyes
Cloud Platforms AWS / Azure / GCP
Cloud & Infrastructure Monitoring
Application & Network Monitoring
Observability & Analytics
CI/CD Monitoring Integration
Scripting Python / Bash
Automation & Tool Integration
Strong Troubleshooting & Analytical Skills
Cross-functional Collaboration

📌 Datadog Implementation Engineer (India)
🏢 Cerebra
📍 India