Senior DevOps Engineer (all genders) | Data Platform

This position involves managing a self-hosted Apache Kafka infrastructure, including schema registry, access controls, and disaster recovery. You will operate Debezium-based change data capture pipelines, monitoring connectors, offsets, and BigQuery sink loaders. The role requires running workloads on Kubernetes, specifically managing a custom workflow orchestrator that executes thousands of daily SQL and Python tasks. You will automate access management and infrastructure as code within self-hosted GitLab CI/CD pipelines to replace manual processes. Responsibilities also include owning observability and infrastructure costs using Datadog, while maintaining alerting systems and tracking expenses for retention and log volumes. You will participate in triage duties one week in three, handling ingestion requests and supporting analysts while automating this layer with AI-assisted review. The job names specific tools such as Apache Kafka, Debezium, Kubernetes, GitLab, and Datadog. The advert does not specify required experience levels, qualifications, or language requirements. The working arrangement is flexible, allowing for remote work or presence in Cologne, Düsseldorf, Darmstadt, or Berlin. The role is open to all genders and offers either full-time or part-time employment on a permanent contract.