Monitoring & Observability Engineer (Grafana/Prometheus)
Joyful Craftsmen AG
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Job summary
Joyful Craftsmen AG is seeking a Monitoring / Observability Engineer to design, implement, and maintain monitoring and alerting for complex distributed environments. You will work with development, infrastructure, and operations teams to ensure observability and reliability across services.
Key focus areas include Grafana dashboards, Prometheus-based monitoring, metrics definitions, and incident analysis. Ideal candidates have hands-on experience with Linux, cloud/containers, and strong
Qualifications
- Hands-on experience with Grafana and Prometheus.
- Experience monitoring Java-based backend applications.
- Strong understanding of distributed systems and microservices.
- Fluent in English and German, both written and spoken.
Responsibilities
- Design, implement, and maintain monitoring and alerting solutions for complex distributed systems.
- Develop and maintain Grafana dashboards and Prometheus-based monitoring.
- Define meaningful metrics, alerts, thresholds, and monitoring strategies.
- Monitor Java-based backend applications, APIs, microservices, and supporting infrastructure.
- Analyze monitoring data to identify performance issues, system failures, and potential incidents.
- Support troubleshooting and root-cause analysis using metrics, logs, and other observability data.
- Continuously improve monitoring coverage, alert quality, and system visibility.
- Collaborate with developers, DevOps, infrastructure, and operations teams to improve system reliability.
- Contribute to the standardization and automation of monitoring and alerting processes.
Skills
Tools
Job description
Joyful Craftsmen AG is seeking a Monitoring / Observability Engineer to design, implement, and maintain monitoring and alerting for complex distributed environments. You will work with development, infrastructure, and operations teams to ensure observability and reliability across services.
Key focus areas include Grafana dashboards, Prometheus-based monitoring, metrics definitions, and incident analysis. Ideal candidates have hands-on experience with Linux, cloud/containers, and strong
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