Datadog Engineer

Responsibilities

• Manage and optimize Datadog observability platform and monitoring configurations.

• Develop dashboards, alerts, service maps, and custom monitoring solutions.

• Implement APM, distributed tracing, RUM, log analytics, and synthetic monitoring.

• Define and track KPIs, SLIs, and SLOs to support service reliability.

• Integrate Datadog with incident management tools such as ServiceNow, PagerDuty, and OpsGenie.

• Collaborate with development, infrastructure, and SRE teams to troubleshoot and resolve performance issues.

• Automate monitoring and reporting using Python, PowerShell, or Bash.

• Document best practices and provide technical guidance to team members.

Requirements

• 5-8 years of experience in monitoring, infrastructure, or application support.

• 3+ years of hands-on Datadog experience across APM, Logs, Metrics, RUM, and Synthetics.

• Experience with AWS, Azure, or GCP environments.

• Knowledge of Kubernetes, Docker, CI/CD pipelines, and distributed systems.

• Strong understanding of observability principles including metrics, logs, and traces.

• Experience with Terraform and ITIL processes is an advantage.