Streaming Data Platform Engineer

Our customer is a leading German producer of customized solutions for the self-supply of solar-powered electricity, including photovoltaic, energy storage systems, and cloud technology systems helping individuals to become energetically independent.

• Familiarity with InfluxDB.
• Experience with programming languages such as Python and Java.
• Familiarity with Ansible and 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.

• Configure and operate time-series database infrastructure to store and process telemetry data.
• Continuously develop and optimize stream-processing pipelines.
• Continuously develop and optimize Python and Java-based applications close to the TSDB.
• Automate build and deployment processes in hybrid environments (public cloud and self-hosted).
• Work closely with development teams and architects to enhance performance and features.
• Python development to adapt telemetry database components.
• API design for scalable infrastructure and API development for software development project interfaces.
• Manage, scale, and handle access management for telemetry databases.
• Participate in occasional on-call duty to resolve potential customer-critical incidents.

This position involves occasional on-call duty to resolve potential customer-critical incidents.