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Dynatrace Expert Architect

Dynatrace Expert Architect

Quess Corp
7-10 Years
Not Disclosed
  • Posted 5 hours ago
  • Be among the first 10 applicants

Job Description

About the Role

We are looking for a highly experienced Dynatrace Expert Architect to lead the design, implementation, and optimization of enterprise observability solutions using the Dynatrace platform. The ideal candidate will have deep, hands-on expertise across Dynatrace's full stack — APM, infrastructure monitoring, log analytics, and AIOps — and will serve as the technical authority guiding architecture decisions, best practices, and platform strategy across the organization.

Key Responsibilities

  • Design and architect end-to-end observability solutions using Dynatrace across complex, hybrid, and multi-cloud environments (AWS, Azure, GCP, on-prem).
  • Lead Dynatrace platform implementation, configuration, and rollout for large-scale enterprise applications.
  • Define monitoring strategy covering APM, infrastructure, network, synthetic monitoring, real user monitoring (RUM), and log management.
  • Architect and optimize OneAgent deployment strategies across diverse environments (VMs, containers, Kubernetes, serverless).
  • Design custom dashboards, SLOs, and alerting frameworks aligned with business and technical KPIs.
  • Leverage Dynatrace's AI engine (Davis AI) for automated root-cause analysis, anomaly detection, and problem correlation.
  • Develop and maintain integrations between Dynatrace and CI/CD pipelines, ITSM tools (ServiceNow, Jira), and other enterprise systems.
  • Build custom extensions, API integrations, and automation scripts (Dynatrace API, DQL, JavaScript/Python) to extend platform capabilities.
  • Define governance standards, tagging strategies, and management zones for large, multi-team Dynatrace environments.
  • Partner with DevOps, SRE, and application teams to embed observability practices into the software delivery lifecycle.
  • Provide technical mentorship and act as an escalation point for complex performance and monitoring issues.
  • Conduct health checks, capacity planning, and license optimization reviews for the Dynatrace environment.
  • Stay current with Dynatrace product releases, new features, and industry observability trends, and recommend adoption where relevant.

Required Skills & Experience

  • 7–10 years of overall IT experience, with a significant portion dedicated to hands-on Dynatrace architecture and implementation.
  • Proven experience architecting Dynatrace solutions for large, complex, distributed environments.
  • Strong expertise in:
  • Dynatrace OneAgent deployment and configuration
  • Application Performance Monitoring (APM) and Real User Monitoring (RUM)
  • Infrastructure and Kubernetes/container monitoring
  • Synthetic monitoring and availability testing
  • Log Management and Analytics within Dynatrace
  • Davis AI, problem correlation, and root-cause analysis
  • Dynatrace Query Language (DQL) and API-based automation
  • Solid understanding of cloud platforms (AWS/Azure/GCP) and hybrid infrastructure.
  • Experience integrating Dynatrace with CI/CD tools (Jenkins, GitLab, Azure DevOps) and ITSM platforms.
  • Strong scripting/automation skills (Python, JavaScript, or similar).
  • Experience with management zones, tagging strategy, and RBAC/governance in enterprise Dynatrace deployments.
  • Excellent understanding of microservices architecture, distributed tracing, and modern application design.
  • Strong stakeholder management and ability to translate business requirements into observability architecture.

Preferred Qualifications

  • Dynatrace Certified Associate / Professional / Master certification(s).
  • Experience with other observability tools (Splunk, New Relic, AppDynamics, Grafana, Prometheus) is a plus.
  • Prior experience in a client-facing or consulting/architect role.
  • Exposure to SRE practices, chaos engineering, or performance engineering.
  • Experience with ITIL processes and enterprise change management.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent written and verbal communication skills.
  • Ability to lead technical discussions with both engineering teams and senior leadership.
  • Self-driven, with the ability to work independently and manage multiple priorities.

More Info

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Key Skills

Kubernetes container monitoring

Dynatrace OneAgent

Synthetic monitoring

Davis AI

API-based automation

Log Management and Analytics

Infrastructure monitoring

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