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Dynatrace Observability Engineer

Talent Search PRO
locationMcLean, VA, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job DescriptionRole: 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 QualificationsDynatrace Certifications (Associate| Professional| or extensions in APM CloudKubernetes).Experience with Monaco| Dynatrace GrailLogs| or Open Telemetry. Exposure to SRE practices| chaos engineering| or performance engineering. Background integrating Dynatrace with tools such as ServiceNow| PagerDuty| Splunk| Prometheus| Grafana| Slack Teams.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 One Agents and Active Gates across cloud| on premise| and containerized environments (Kubernetes OpenShift).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 SLOs SLIs 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 ReportingProvide 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 end to end 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.

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