Job Summary

•    5–8 years of experience in infrastructure or application monitoring, with 3+ years in Datadog.
•    Strong implementation experience across Datadog APM, Logs, Metrics, RUM, and Synthetics modules.
•    Hands-on experience with cloud environments (AWS, Azure, or GCP).
•    Knowledge of scripting (Python, PowerShell, or Bash) for automation of Datadog configurations.
•    Familiarity with CI/CD pipelines, containerized workloads (Docker, Kubernetes), and distributed systems.
•    Strong understanding of modern observability practices (metrics, logs, traces).

Key Responsibilities

•    Experience integrating Datadog with Terraform or configuration management tools.
•    Knowledge of ITIL event and incident processes.

Skill Requirements

•    Own Datadog full-stack observability across infrastructure, application, network, and cloud components.
•    Fine-tune and optimize existing Datadog monitoring configurations, dashboards, alerts, and synthetics.
•    Implement advanced Datadog functionalities such as APM distributed tracing, RUM, log analytics, and CI/CD pipeline integrations.
•    Define observability KPIs and SLIs/SLOs aligned to business and IT service health.
•    Develop and maintain custom monitors, service maps, and metric dashboards for proactive monitoring.
•    Integrate Datadog with incident management systems (ServiceNow, OpsGenie, PagerDuty, etc.).
•    Collaborate with developers, SREs, and infrastructure teams to trace, diagnose, and resolve performance bottlenecks.
•    Mentor team members and document observability use cases and best practices.

Other Requirements

•    Experience integrating Datadog with Terraform or configuration management tools.
•    Knowledge of ITIL event and incident processes.