Senior Engineer- Application Performance Monitoring

Overall objectivesTo ensure end-to-end visibility of application health performance and user experience across critical business services.To implement and manage modern APM tools that support real-time insights transaction tracing and deep diagnostics of application behaviour.To support performance engineering incident prevention and rapid root cause analysis of application-related issues.To partner with DevOps development and infrastructure teams in creating a performance-centric culture backed by actionable telemetry.Role specific responsibilitiesImplement configure and manage enterprise-grade APM tools across the application landscape.Build dashboards alert policies and SLA-based thresholds for business-critical applications.Enable distributed tracing and service maps to visualise and diagnose performance across complex dependencies.Collaborate with application owners and development teams to address recurring issues and improve code-level performance.Ensure seamless integration of APM tools with CI/CD pipelines and incident response workflows.Lead performance monitoring efforts during major application releases or seasonal peak loads.Conduct APM health checks and ensure consistent telemetry coverage across environments (dev test prod).General functional responsibilitiesMaintain monitoring standards and documentation including runbooks dashboards and escalation guides.Assist in defining and tracking service-level objectives (SLOs) and service-level agreements (SLAs).Contribute to post-incident reviews and performance retrospectives to enhance visibility and reduce MTTR.Support automation of alert routing event correlation and ticket enrichment using observability data.Keep abreast of trends in application monitoring including OpenTelemetry adoption and AI-powered diagnostics.Support out-of-hours performance troubleshooting during P1/P2 incidents as part of a rotating schedule.Qualifications :Core competencies requiredIn-depth experience with leading APM platforms such as Dynatrace AppDynamics New Relic Instana or Datadog APM.Strong understanding of distributed applications microservices container orchestration (Kubernetes) and service mesh technologies.Skilled in analysing transaction traces identifying bottlenecks and pinpointing slow database calls or code-level inefficiencies.Proficient in synthetic monitoring real user monitoring (RUM) and load testing techniques.Familiarity with telemetry pipelines correlation of metrics/logs/traces and service-level indicators (SLIs).Capability to use data to produce baselines detect anomalies and support proactive performance tuning.Remote Work :NoEmployment Type :Full-time#J-18808-Ljbffr