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 DevOps, 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 DevOps, 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 Node.js
* Solid experience interpreting observability data, including traces, logs, and metrics
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