Kafka Developer - OOM (Order Optimization & Monitoring) - - - - - - - - - - - - MISSION : Responsible for the analysis and the development of solutions in full autonomy, the Senior Software Engineer designs, builds, deploys and maintains tailor-made and/or software packages applications or adapts existing ones. Ensuring applications stability, scalability, performance, security and consistency, he/she verifies the functional and/or technical quality of developments by implementing and/or executing tests on a wide variety of devices and setups. He/she works with internal or external business partners to create or redefine functional and/or technical specifications. He/she also acts as a tutor to Software Engineers. Responsibilities Design, build, and maintain Kafka-based solutions with developers, architects, and data engineers. Integrate Kafka / Kafka Streams into Kubernetes on Azure so microservices can exchange data reliably. Develop Java + Spring Boot services that work smoothly with Kafka (clean, efficient, scalable code). Maintain strong code quality standards (example: Sonar checks and improvement). Work with DevOps to build and run CI/CD pipelines using GitLab CI (build/test/deploy automation). Secure Kafka usage using access control, authentication, encryption . Build streaming and ingestion pipelines using Kafka Connect (with data engineers). Keep documentation updated: architecture, standards, best practices. Become an independent L3 support member (weekly on-call duty in the rotation). Requirements (Must-have) Strong Java + Spring Boot development experience able to build scalable, high-performance apps. Understanding of microservices / distributed systems . Experience with Git + GitLab CI for CI/CD. Experience with code quality practices/tools (example: Sonar). Familiarity with Kubernetes and containers. Cloud understanding, preferably Microsoft Azure . Strong problem-solving and ability to learn fast. Good communication and collaboration across teams. Preferred Kafka / Kafka Streams experience (or can ramp up quickly). Agile delivery experience. Knowledge of event-driven architecture and event sourcing . OOM Context OOM (Order Optimization & Monitoring) manages order orchestration and makes order status visible end-to-end (a 360° view of order events) OOM is built using an event-driven architecture , where events and order data are stored/processed through Kafka + Kafka Streams across microservices which is why Kafka skills are critical.