Dynatrace Observability Engineer
| Hours | Full-time, Part-time |
|---|---|
| Location | Mc Lean, Virginia |
About this job
Job Description
Position- Dynatrace Observability Engineer
Location- McLean, VA - 100 % ONSITE
Skills: Digital: Splunk, Digital: Salesforce Development and Technical Design, Dynatrace (MUST HAVE)
Job descriptions:
Role 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) andor Kubernetes.
Experience configuring dashboards| alerts| tagging rules| management zones| and dashboards.
Solid understanding of microservices| distributed systems| APIs| and application performance concepts.
Proficiency with automationscripting 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 OwnershipAdminister 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 EngineeringImplement 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 EngineeringAnalyze 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 AutomationIntegrate 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 SkillsStrong 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.