Java Backend Engineer

Are you ready to build end\-to\-end solutions that make an impact? **Your Role \& Responsibilities** * Develop and maintain scalable Java web applications using Quarkus or Spring Boot * Design, implement, and maintain microservice\-based architectures * Ensure seamless integration between system components using Kafka * Build and manage databases with technologies such as PostgreSQL and MongoDB * Work within a Domain\-Driven Design (DDD) approach to model complex systems * Deploy applications using container orchestration platforms like OpenShift or Kubernetes * Design and orchestrate business workflows using the Temporal workflow engine * Integrate backend services with AI components, including Large Language Models (LLMs), LangChain/LangGraph, and Retrieval\-Augmented Generation (RAG) * Collaborate with product owners, designers, and other developers to understand requirements and deliver high\-quality software * Write clean, maintainable, and well\-documented code * Participate in code reviews and contribute to technical discussions and decision\-making **Required Technical \& Professional Expertise** * A completed technical university degree in Computer Science, Software Engineering, or a related field (mandatory) * Proficiency in Java for server\-side application development * Experience in building and deploying microservices and RESTful APIs using Quarkus / Spring Boot * Hands\-on experience with Kafka for real\-time data processing and communication * Hands\-on experience with database technologies such as PostgreSQL and MongoDB * Familiarity with container orchestration tools like OpenShift and/or Kubernetes * Practical experience with Domain\-Driven Design (DDD) concepts * Strong problem\-solving skills and the ability to work independently or as part of a team * Excellent communication skills in English (written and verbal) **Bonus Skills (Nice to Have)** * Experience with modern Python ecosystems. * Understanding of LLM concepts and practical experience integrating them into enterprise applications. * Familiarity with LangChain / LangGraph frameworks used to build AI\-driven workflows. * Experience designing or implementing RAG architectures to enhance AI\-powered data retrieval.