Job Title

Position OverviewWe are looking for a Datadog Observability Engineer with strong experience implementing Datadog at the application layer. The role focuses on instrumenting business applications, enabling distributed tracing, improving application performance visibility, correlating logs/metrics, and providing real-time insights into user journeys, errors, latency, and reliability.The ideal candidate will collaborate closely with backend/frontend developers, QA, product, and DevOps, helping teams build high-quality observability into their services and customer experience.Primary ResponsibilitiesImplement and manage Datadog APM, Real User Monitoring (RUM), Distributed Tracing, Service Monitoring, and Application Logs across multiple applications.Instrument application code with Datadog libraries, OpenTelemetry, or native integrations to capture business KPIs and performance metrics.Configure synthetic tests, error tracking, and frontend performance dashboards to monitor user experience and critical paths.Create meaningful dashboards for:latency and throughputendpoint/API performanceerror rates and exceptionsRUM user behavior and UX performanceSLA/SLO trends at the application levelLead the creation of alerting strategies based on real application behavior, including anomaly detection, latency spikes, and error bursts.Correlate logs, metrics, and trace data to perform root-cause analysis of application failures and performance degradation.Work with development teams to:define observability requirements early in developmentintegrate monitoring into CI/CD and test environmentsimprove tagging, business context, and trace spansConduct application performance reviews and identify opportunities for:response-time improvementdatabase or API bottleneckscode-level optimizationsTrain developers and QA on how to use Datadog tools for debugging, troubleshooting, and performance testing.Recommend improvements to observability maturity and documentation.Required SkillsHands-on experience with:Datadog APMDatadog LogsRUM (Real User Monitoring)Service MapsDistributed TracingSynthetic MonitoringStrong application debugging and performance analysis experience, using trace/span data.Proficiency instrumenting apps in at least one modern programming language:Node.js, Java, Python, Go, Ruby, .NET, etc.Solid understanding of:HTTP APIsmicroservicesqueues/event-driven flowsfrontend performance basicsComfortable working with developers and QA to embed observability.Preferred SkillsFamiliarity with OpenTelemetry and custom instrumentation practices.Experience with databases, caching, async messaging, and how to measure them via tracing.Ability to derive business KPIs from monitoring data (conversion impacts, latency cost, UX issues).Exposure to CI/CD integration and automated observability testing.