Streaming Platform Engineer (Kafka/ Flink)

• Design and implement stream processing solutions using Apache Flink and Flink SQL
• Develop and maintain filtering, projection, and join logic on streaming data
• Build and operate workloads using the Flink Kubernetes Operator
• Implement and maintain Kafka-based integrations, including producers, consumers, and Kafka Connect pipelines
• Design and evolve Avro schemas, ensuring compliance with schema evolution rules
• Integrate solutions with Confluent Schema Registry
• Develop and support Flink SQL rule framework and validation tooling
• Contribute to XML-to-Avro transformation mechanisms (including Kafka Connect SMTs)
• Collaborate with platform and domain teams in a shared ownership model
• Apply AI-assisted (agentic engineering) approaches across design, implementation, and delivery lifecycle
• Troubleshoot and optimize deployments in Kubernetes environments
• Support CI/CD and GitOps practices for rule deployment and configuration management

Key requirements:

• 6-8 years of experience
• Apache Flink (Flink SQL, stateful stream processing)
• Apache Kafka / Confluent (producers, consumers, Kafka Connect)
• Avro & Schema Registry (schema evolution, design)
• Kubernetes (deployments, troubleshooting)
• Flink Kubernetes Operator
• Strong understanding of event-driven architectures
• Very good English skills

Nice to have:

• AsyncAPI (v3)
• Kafka Connect custom SMT development (Java)
• XML / legacy data transformations
• GitOps / CI-CD (YAML, PR-based workflows)