Dynatrace Observability Engineer

Role: Dynatrace Observability Engineer

Role Description

• 10+ years of hands-on experience with Dynatrace APM (SaaS or Managed environments)

• Strong understanding of observability pillars :

  • Metrics

  • Logs

  • Traces

  • Events

• Deep knowledge of cloud platforms : AWS, Azure, and/or GCP

• Strong experience with Kubernetes / containerized environments

• Expertise in configuring:

  • Dashboards

  • Alerts

  • Tagging rules

  • Management zones

  • SLOs and custom events

• Solid understanding of:

  • Microservices architectures

  • Distributed systems

  • APIs

  • Application performance concepts

• Proficiency with automation and scripting :

  • Python

  • Bash

  • PowerShell

  • YAML

• Familiarity with CI/CD tools :

  • Jenkins

  • Azure DevOps

  • GitHub Actions

  • GitLab

Preferred Qualifications

• Dynatrace Certifications:

  • Associate

  • Professional

  • Extensions in APM / Cloud / Kubernetes

• Experience with:

  • Dynatrace Monitoring as Code (Monaco)

  • Dynatrace Grail / Logs

  • OpenTelemetry

• Exposure to:

  • SRE practices

  • Chaos engineering

  • Performance engineering

• Experience integrating Dynatrace with:

  • ServiceNow

  • PagerDuty

  • Splunk

  • Prometheus

  • Grafana

  • Slack / Microsoft Teams

• Knowledge of:

  • Network monitoring

  • Synthetic testing

Roles & Responsibilities

Dynatrace Platform Ownership

• Administer and maintain the Dynatrace platform, including:

  • Upgrades

  • Configuration

  • Integrations

  • Governance

• Deploy and manage OneAgents and ActiveGates across:

  • Cloud environments

  • On-premises infrastructure

  • Container platforms (Kubernetes / OpenShift)

• Build and manage dashboards, alerts, SLOs, tagging rules, and management zones

Observability & APM Engineering

• Implement end-to-end monitoring for:

  • Applications

  • APIs

  • Infrastructure

  • Logs

  • User experience

• Configure:

  • Distributed tracing

  • Service flow mapping

  • Synthetic monitoring

  • Real User Monitoring (RUM)

• Develop automated instrumentation strategies for:

  • Microservices

  • Serverless workloads

  • Container-based applications

Performance & Reliability Engineering

• Analyze application performance using Davis AI , including:

  • Latency

  • Bottlenecks

  • Error trends

• Partner with application teams to:

  • Drive performance tuning

  • Perform root-cause analysis and remediation

• Define SLIs and SLOs aligned with business KPIs and reliability goals

Integrations & Automation

• Integrate Dynatrace with:

  • CI/CD pipelines

  • ITSM tools

  • Logging platforms

  • Event management systems

• Build automation scripts using:

  • PowerShell

  • Bash

  • Python

  • Ansible

• Support observability-as-code using:

  • Dynatrace Monitoring as Code (Monaco)

  • Terraform

Incident Management & Reporting

• Provide observability insights during:

  • Major incidents

  • Post-incident reviews

• Deliver reports and analytics highlighting:

  • Performance trends

  • Reliability improvements

  • Overall system health

• Act as a Subject Matter Expert (SME) for observability and monitoring best practices

Essential Skills Summary

• Design, implement, and optimize enterprise observability ecosystems

• Strong expertise in:

  • Dynatrace APM

  • Infrastructure Monitoring

  • Real User Monitoring (RUM)

  • Davis AI

• Experience supporting hybrid-cloud and multi-cloud environments

• Ability to collaborate with:

  • Application teams

  • SREs

  • DevOps

  • Cloud Engineering

  • Business stakeholders

• Focus on:

  • Proactive incident detection

  • Faster troubleshooting

  • Performance optimization

  • Improved customer experience

  • Data-driven decision-making

Soft Skills

• Strong analytical and problem-solving abilities

• Excellent communication skills with technical and business stakeholders

• Ability to work in fast-paced environments with strong technical ownership

• Collaborative mindset with a continuous improvement focus