Datadog Observability Engineer

Job Responsibilities

Build, configure, and optimize Datadog capabilities across infrastructure, applications, networks, cloud platforms, logs, and digital experience monitoring to provide comprehensive visibility Develop dashboards, monitors, alerts, integrations, SLIs, SLOs, and service health views that deliver meaningful and actionable insights to stakeholders Configure and troubleshoot Datadog agents, integrations, APIs, collectors, and telemetry pipelines to ensure reliable data collection and transmission Build automation using Rundeck, Ansible, Python, PowerShell, APIs, and Git-based processes that simplifies observability onboarding, configuration, remediation, and ongoing platform operations Apply observability-as-code practices to make monitoring configurations repeatable, scalable, and easier to maintain across environments Configure and enhance AIOps capabilities including event correlation, anomaly detection, intelligent alerting, noise reduction, and incident enrichment to reduce operational burden Leverage AI and generative AI capabilities to improve observability, troubleshooting, root-cause investigation, automation, and operational workflows Integrate Datadog with enterprise platforms such as ServiceNow, Rundeck, cloud services, and CI/CD tooling to create seamless operational ecosystems Use metrics, logs, traces, events, and network telemetry to investigate and resolve application and infrastructure performance issues, working collaboratively with teams across time zones