Dynatrace Observability Engineer

Position: Dynatrace Observability Engineer [51689]
About:

• Location:
  
  McLean, VA
• Contract:
  
  6 months

The Role:

Role:
Dynatrace Observability Engineer

Skills:

Digital:
Splunk, Digital:
Salesforce Development and Technical Design, Dynatrace (MUST HAVE)
Exp: 10 & Above

Role Description s: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| Power Shell| YAML).

Familiarity with CICD tools (Jenkins| Azure Dev Ops| Git Hub Actions| Git Lab).

Preferred Qualifications

Dynatrace Certifications (Associate| Professional| or extensions in APM Cloud Kubernetes).

Experience with Monaco| Dynatrace Grail Logs| or Open Telemetry. Exposure to SRE practices| chaos engineering| or performance engineering. Background integrating Dynatrace with tools such as Service Now| Pager Duty| 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 Open Shift).

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 (Power Shell| 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.

MUST HAVE: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| Power Shell| YAML).

Familiarity with CICD tools (Jenkins| Azure Dev Ops| Git Hub Actions| Git Lab)

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| Dev Ops| Cloud Engineering| and business stakeholders to build scalable observability solutions that enable faster troubleshooting| improved customer experience| and data-driven decisions.