Dynatrace Observability Engineer

Role: Dynatrace Observability Engineer

Skills: Digital: Splunk, Digital: Salesforce Development and Technical Design, Dynatrace (MUST HAVE) Exp: 10 & AboveRole Descriptions:10 years of hands-on experience with Dynatrace APM (SaaS or Managed environment). Strong understanding of observability pillars metrics| logs| traces| events. Deep knowledge of cloud platforms (AWS| Azure| GCP) and/or Kubernetes. Experience configuring dashboards| alerts| tagging rules| management zones| and dashboards. Solid understanding of microservices| distributed systems| APIs| and application performance concepts. Proficiency with automation/scripting tools (Python| Bash| PowerShell| YAML). Familiarity with CICD tools (Jenkins| Azure DevOps| GitHub Actions| GitLab).

Preferred Qualifications: Dynatrace Certifications (Associate| Professional| or extensions in APMCloudKubernetes). Experience with Monaco| Dynatrace GrailLogs| or Open Telemetry. Exposure to SRE practices| chaos engineering| or performance engineering. Background integrating Dynatrace with tools such as oServiceNow| PagerDuty| Splunk| Prometheus| Grafana| SlackTeams. Knowledge of network monitoring and synthetic testing.

Roles Responsibilities: Dynatrace Platform Ownership: Administer and maintain the Dynatrace platform| including upgrades| configurations| integrations| and governance. Deploy and manage OneAgents and ActiveGates across cloud| on premise| and containerized environments (KubernetesOpenShift). Build and manage dashboards| alerts| SLOs| custom events| tagging rules| and management zones. Observability APM Engineering: Implement end-to-end monitoring for applications| APIs| infrastructure| logs| and user experience. Configure distributed tracing| service flow mapping| synthetic monitoring| and RUM. Develop automated instrumentation strategies for microservices| serverless functions| and container workloads. Performance Reliability Engineering: Analyze application performance| latency| bottlenecks| and error trends using Davis AI insights. Partner with application teams to drive performance tuning and root-cause remediation. Define SLOsSLIs aligned with business KPIs and reliability objectives. Integrations Automation: Integrate Dynatrace with CICD pipelines| ITSM tools| logging platforms| and event management systems. Build automation scripts (PowerShell| Bash| Python| Ansible| etc.) to streamline deployments and configuration. Support observability-as-code using Dynatrace Monitoring-as-Code (Monaco) or Terraform. Incident Management Reporting: Provide observability insights during major incidents and post-incident reviews. Deliver reports and analytics that highlight trends| improvements| and system health. Act as a SME for monitoring strategies and observability best practices. Soft Skills: Strong analytical and problem solving abilities. Excellent communication skills comfortable interfacing with technical and business teams. Ability to work in fast-paced environments and drive technical ownership. Collaborative mindset with a desire to improve systems continuously. Essential Skills: We are seeking skilled Dynatrace Observability Engineer to design| implement| and optimize our enterprise observability ecosystem. In this role| you will leverage Dynatraces APM| Infrastructure Monitoring| RUM| and Davis AI capabilities to ensure endtoend visibility| system reliability| performance optimization| and proactive incident detection across our hybrid-cloud or multi-cloud environments. You will collaborate with application teams| SREs| DevOps| Cloud Engineering| and business stakeholders to build scalable observability solutions that enable faster troubleshooting| improved customer experience| and data-driven decisions.