Dynatrace System Engineer - Big Data

We're looking for a Dynatrace System Engineer – Big Data to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will design and implement observability solutions that ensure performance, availability, and reliability of large-scale Big Data platforms. Your expertise will help drive operational excellence, proactively prevent incidents, and optimize system resilience.

Responsibilities

• Design, implement, and maintain end-to-end monitoring and observability solutions using Dynatrace
• Monitor and optimize performance, reliability, and availability across Big Data environments including Trino, Kubernetes, and Kafka
• Develop dashboards, alerts, and actionable insights for operational efficiency
• Apply proactive monitoring strategies to detect risks early and prevent incidents
• Perform performance analysis, capacity planning, and root cause investigations
• Collaborate with platform, data, and operations teams to strengthen stability and operational excellence

Requirements

• Proven hands-on experience with Dynatrace administration, configuration, and observability practices
• Strong background in Big Data environments
• Knowledge of monitoring and performance tuning for Trino, Kubernetes, and Kafka
• Ability to apply proactive and preventive approaches to operational monitoring
• Experience with incident management and troubleshooting in distributed systems

Nice to have

• Familiarity with object storage technologies such as S3
• Experience with Dataiku
• Exposure to the Apache ecosystem (e.g., Hadoop and related components)
• Understanding of Apache Spark and large-scale data processing platforms