Streaming Data Platform Engineer

O projekcie: Our customer is a leading German producer of customized solutions for the self-supply of solar-powered electricity. This includes photovoltaic, energy storage systems as well as cloud technology systems helping individuals to become energetically independent. Please note that this position involves occasional on-call duty to resolve potential customer-critical incidents. Wymagania: Requirements: - InfluxDB - Ansible/Terraform - Apache Kafka/Confluent Cloud - Docker/ArgoCD/AKS - SCMS - CI/CD/Gitlab-CI - Python/Java - Cloud Required skills: - Familiarity with InfluxDB. - Experience with programming languages such as Python and Java. - Familiarity with Ansible, Terraform. - Knowledge of Apache Kafka or Confluent Cloud. - Experience with containers in scalable environments such as Docker, Kubernetes, ArgoCD and AKS. - Experience with SCMS and CI/CD systems like Gitlab-CI. - Knowledge of cloud environments and services such as Azure. Codzienne zadania: - Configure and operate our time-series database infrastructure to store and process telemetry data. - Continuously develop and optimize our stream-processing pipelines. - Continuously develop and optimize our Python and Java-based applications that are close to the TSDB. - Automate build and deployment processes in hybrid environments (e.g., public cloud and self-hosted). - Work closely with development teams and architects to enhance performance and features. - Python development to adapt to telemetry database components, API design for scalable infrastructure and API development for interfaces from software development projects. - Manage, scale, and handle access management for telemetry databases.