Dynatrace Engineer

Job description:

• Take ownership of the design, implementation, and continuous optimization of Dynatrace monitoring solutions within complex hybrid and multi-cloud environments
• Create and maintain dashboards, alerts, Service Level Objectives (SLOs), and synthetic monitoring to ensure full end-to-end observability
• Perform in-depth performance analyses and structured root cause investigations to enhance application stability, reliability, and user experience
• Work closely with Dev Ops, SRE, Infrastructure, and Application teams to define and roll out observability and monitoring best practices
• Contribute to the ongoing development of monitoring strategies and observability architectures across enterprise platforms

About the customer:

In this role, you will lead the design, implementation, and continuous optimization of Dynatrace monitoring solutions across complex hybrid and multi-cloud environments. You will be responsible for creating and maintaining dashboards, alerts, Service Level Objectives (SLOs), and synthetic monitoring to ensure full end-to-end observability. A key part of the assignment involves performing in-depth performance analyses and root cause investigations to improve application stability, reliability, and overall user experience.

You will work closely with cross-functional teams, including Dev Ops, SRE, infrastructure, and application teams, to establish and apply best practices for observability and monitoring architecture.

• Start: from FEB 2026
• Duration: 10 months, possible extension
• Workload: 60%
• Location:
  
  Zürich
• Hybrid: 1-2 Days/Week Home Office
• Contract:
  
  Payrolling through Swisslinx

Requirements:

• Bachelor's degree in Computer Science, Software Engineering , or a comparable discipline
• 5+ years of hands-on experience with Dynatrace in enterprise-scale environments
• Strong understanding of distributed systems, microservices architectures, container platforms (Kubernetes), and cloud technologies , particularly Microsoft Azure
• Proven expertise in application performance analysis across technologies such as Java, .NET, and
• Solid experience interpreting observability data , including traces, logs, and metrics