Role: Dynatrace SaaS Platform Engineer
Location: This is a fully remote position for candidates based in CANADA.
This role is not able to offer visa transfer or sponsorship, now or in the future
Applications will be accepted until May 31, 2025
About the Role: The Dynatrace SaaS Platform Engineer will lead the migration of enterprise environments from Dynatrace Managed (on-prem) to Dynatrace SaaS and own the ongoing engineering, configuration, and optimization of the SaaS platform. This role partners closely with cloud architects, SRE teams, and application owners to deliver end-to-end observability across complex, multi-cloud infrastructures.
Key Responsibilities
Migration Planning & Execution
Lead end-to-end migration projects from Dynatrace Managed (on-prem) to Dynatrace SaaS across large, complex enterprise environments.
Conduct pre-migration assessments: audit existing dashboards, alerting rules, management zones, tagging strategies, and integrations.
Design and execute phased migration plans with rollback procedures to minimize business risk.
Migrate ActiveGate configurations, OneAgent deployments, synthetic monitors, and custom extensions.
Handle data continuity planning including SLO/SLA transfer, metric key mapping, and retention alignment.
SaaS Platform Engineering
Configure and manage Dynatrace SaaS environments including tenant provisioning, user access management, and permission structures.
Implement and maintain monitoring-as-code using Dynatrace Terraform Provider, Monaco (Monitoring as Code), and Dynatrace APIs.
Deploy and manage OneAgent and ActiveGate across cloud platforms (AWS, Azure, GCP) and on-premise infrastructure.
Set up and maintain synthetic monitoring, real user monitoring (RUM), session replay, and log management modules.
Build and manage automated dashboards, SLOs, custom metrics, and alerting workflows.
Observability & APM
Instrument and monitor microservices, Kubernetes workloads, and serverless functions using Dynatrace auto-instrumentation and OpenTelemetry.
Configure distributed tracing, service dependency mapping, and DAVIS AI anomaly detection rules.
Integrate Dynatrace with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) for shift-left observability.
Develop custom dashboards using DQL (Dynatrace Query Language) and Notebooks.
Integration & Automation
Integrate Dynatrace SaaS with ITSM tools (ServiceNow, Jira), PagerDuty, Splunk, and Slack for alerting and incident workflows.
Automate configuration lifecycle management using Monaco, Terraform, and REST API scripting (Python/Shell).
Implement Dynatrace as part of a broader AIOps and Platform Engineering strategy.
Collaboration & Documentation
Partner with cloud architects, SRE teams, and application owners during migration waves and go-live events.
Create and maintain runbooks, migration guides, and architecture documentation.
Provide knowledge transfer sessions and training for internal teams post-migration.
Participate in on-call rotation to support production observability incidents.
Required Skills & Qualifications
3+ years of hands-on experience with Dynatrace, including both Managed and SaaS deployments.
Proven experience leading Dynatrace Managed to SaaS migrations in enterprise environments.
Strong proficiency with Dynatrace components: OneAgent, ActiveGate, synthetic monitors, RUM, session replay, log management, and DQL.
Experience with monitoring-as-code tooling: Monaco, Dynatrace Terraform Provider, and Dynatrace REST APIs.
Hands-on experience deploying and managing observability across AWS, Azure, and/or GCP.
Familiarity with Kubernetes, container orchestration, and microservices architectures.
Experience integrating Dynatrace with ITSM and alerting platforms (ServiceNow, Jira, PagerDuty, Splunk, Slack).
Scripting skills in Python and/or Shell for automation and API interactions.
Understanding of CI/CD pipelines and DevOps practices (Jenkins, GitHub Actions, Azure DevOps).
Strong documentation skills with the ability to produce runbooks, migration guides, and architecture diagrams.
Salary and Other Compensation: The annual salary for this position is between CAD 90,000/year - CAD 105,000/year and depends on experience and other qualifications. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
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Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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