Cloud Observability Engineer (Grafana Stack & K8s)

Schwarz Digits

Barcelona

On-site

EUR 65,000 - 90,000

Full time

8 days ago

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Job summary

Schwarz Digits is building an Observability Suite and sovereign cloud services. The role focuses on integrating Grafana LGTM stack with Loki, Grafana, Tempo and Mimir, while enhancing the system with OpenTelemetry and Prometheus for_logs, metrics, and traces.

You will automate cloud service lifecycles using Kubernetes operators and API-driven control. You will own development and operations in an agile environment, collaborating with SRE to diagnose bottlenecks, improve performance, and deliver

Qualifications

  • Deep enthusiasm for software engineering, cloud-native observability and SRE.
  • Experience owning full software development lifecycle with emphasis on reliability and operability.
  • Interest in Grafana ecosystem and instrumenting cloud services.

Responsibilities

  • Design and develop components of Observability Suite as sovereign cloud services.
  • Extend architecture by integrating OpenTelemetry and Prometheus for logs, metrics, traces.
  • Develop Kubernetes operators to automate life cycle of cloud services.
  • Develop and maintain REST APIs for monitoring and alerting lifecycles.
  • Owns delivery in an agile "+You Build It - You Run It" environment as bridge between development and SRE.
  • Perform root cause analyses using logs, tracing and metrics to identify bottlenecks and implement fixes.

Skills

Software engineering
Cloud-native
Observability
SRE

Tools

Grafana
Loki
Tempo
Mimir
OpenTelemetry
Prometheus
Kubernetes

Job description

Schwarz Digits is building an Observability Suite and sovereign cloud services. The role focuses on integrating Grafana LGTM stack with Loki, Grafana, Tempo and Mimir, while enhancing the system with OpenTelemetry and Prometheus for_logs, metrics, and traces.

You will automate cloud service lifecycles using Kubernetes operators and API-driven control. You will own development and operations in an agile environment, collaborating with SRE to diagnose bottlenecks, improve performance, and deliver

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