Dynatrace Observability Engineer (51689\-1)
About The Position
We are seeking a Dynatrace Observability Engineer with 10 years of hands-on experience in Dynatrace APM (SaaS or Managed environment). The role requires a strong understanding of observability pillars (metrics, logs, traces, events) and deep knowledge of cloud platforms (AWS, Azure, GCP) and/or Kubernetes. The engineer will be responsible for configuring dashboards, alerts, tagging rules, management zones, and dashboards, along with a solid understanding of microservices, distributed systems, APIs, and application performance concepts. Proficiency with automation scripting tools (Python, Bash, PowerShell, YAML) and familiarity with CICD tools (Jenkins, Azure DevOps, GitHub Actions, GitLab) are essential.
Requirements
- 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).
Nice To Haves
- Digital: Splunk
- Digital: Salesforce Development and Technical Design
Responsibilities
- 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.
- 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.
- 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 and SLIs aligned with business KPIs and reliability objectives.
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
