Assignment Description
We are seeking two Senior Stream Processing Engineers for a remote assignment in a large enterprise event-streaming environment. The work focuses on Kafka, stream processing, event-driven architecture, and advanced filtering capabilities. The engineers will contribute to creating and further developing solutions for content-based event filtering, payload selection, topic joins, validation tools, deployment definitions, and consumer-facing self-service workflows. The assignment also includes Kubernetes deployments, Avro schemas with Schema Registry, Kafka Connect transformation logic, CI/CD pipelines, and YAML-based configuration. The work will be carried out closely with an existing platform team, where responsibilities are shared between the consultants and the team.
Mandatory Qualifications:
- Familiarity with GitOps practices
- Experience with CI/CD workflows
- Knowledge of Kafka and the Confluent Platform
- Ability to work with YAML-based configuration
- Experience with Kubernetes-based environments
- Understanding of stream processing concepts and patterns
- Familiarity with Avro and Schema Registry
- Experience using Kafka Connect
- Ability to use Flink SQL in stream processing contexts
- Experience working with Apache Flink
It is considered meritorious if you have experience with AI-assisted engineering throughout the development lifecycle, AsyncAPI, XML transformation logic, or Java-based Kafka plugins.
