Senior Java Developer

Job Description About the Team Devoteam Creative Tech is Belgium's leading digital consultancy, specializing in cloud-native development, AI innovation, and modern software engineering. Our multidisciplinary teams work on high-impact projects for top-tier clients across industries — from intelligent automation to large-scale platform modernizations. We foster a culture of curiosity, continuous learning, and creative problem-solving. About the Role As a Senior Java Developer at Devoteam Creative Tech, you will take on a prominent role in designing, building, and maintaining high-performance enterprise applications and modern back-end services, with foundational capabilities in any front-end frameworks (e.g., Angular, React, Vue.js). This is an AI Augmented position: you are expected to actively integrate AI tools and techniques into your daily workflow to accelerate development, drive code quality, and build intelligent application features. Mission Take on a prominent role in the software architecture and design of enterprise applications, maintaining clean, scalable, and maintainable Java codebases. Design and implement robust back-end microservices, REST APIs, and databases with optimized performance, security, and scalability. Build and integrate responsive front-end components to support full-stack project delivery and client requirements. Leverage AI-assisted software engineering tools (e.g., GitHub Copilot, Cursor, Antigravity, Google Gemini, Claude) to streamline coding, unit testing, debugging, and documentation processes. Design and implement AI-powered features, including LLM API integrations, RAG pipelines, intelligent automation, and conversational interfaces. Participate in code reviews, automated testing, and quality assurance processes to drive engineering excellence. Provide technical guidance and mentorship to junior developers while effectively communicating with clients and business stakeholders. Qualifications Profile Strong analytical, problem-solving, and architectural skills with a deep understanding of computer science fundamentals, data structures, and algorithms. Strong understanding of software design patterns, Clean Architecture, and microservices design principles. Solid grasp of the software development lifecycle, Agile/Scrum methodologies, and DevSecOps practices. Excellent communication skills, with the ability to explain complex technical concepts clearly to non-technical stakeholders. Genuine curiosity about AI and a proactive approach to adopting modern tools, keeping pace with emerging Java frameworks, cloud tech, and AI practices. Fluency in Dutch or French, and English. Technical Requirements : Java Core & Back-End Java Core & Frameworks — Deep expertise in Java (Java 17/21+), Spring Framework, Spring Boot, and Hibernate / JPA. API Development & Microservices — Design and implementation of scalable microservice architectures and robust web services (RESTful APIs, gRPC, or GraphQL). Databases & Data Modeling — Strong proficiency in relational databases (PostgreSQL, MySQL, Oracle) and SQL, as well as familiarity with NoSQL stores. Front-End & Web Web Fundamentals — Solid practical knowledge of a front-end framework, TypeScript, HTML5, CSS3/SASS, and responsive UI integration. State & Integration — Experience integrating front-ends with back-end REST APIs and managing client-side application state. Quality, CI/CD & Security Testing Frameworks — Strong unit testing and TDD mindset using JUnit, Mockito, and fron-tend testing utilities (Jasmine/Karma or Jest). DevOps & Version Control — Proficiency with Git, build tools (Maven, Gradle), and modern CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps). Security — Understanding of web application security principles, OAuth2, OpenID Connect, and JWT. AI Skills This is an AI Augmented role. The following AI competencies are mandatory: Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Antigravity, Google Gemini, Claude, or similar) embedded in your daily workflow. Practical understanding of Large Language Models (LLMs) and experience integrating LLM APIs (OpenAI, Anthropic, Google Gemini, Azure OpenAI) into Java applications (e.g., using Spring AI or LangChain4j). Experience with prompt engineering techniques and constructing LLM-enabled workflows (summarization, data extraction, enterprise search). Understanding of Retrieval-Augmented Generation (RAG) patterns and vector databases (eg: pgvector, Pinecone, Weaviate, Qdrant). Awareness of responsible AI principles: data privacy, security, and ethical AI deployment. Assets (Nice to Have) Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native deployment patterns. Knowledge of containerization technologies such as Docker, Kubernetes, and Helm. Experience with event-driven architectures and messaging systems (Apache Kafka, RabbitMQ). Familiarity with building AI agents or multi-agent systems. Relevant professional certificati