Java Developer - Backend / Full Stack With Angular
Pubblicato il 23-10-2026 - Ntt Data Europe & Latam in Ferrara
Who We Are
We don't have the fame, but we've got the flame. We are a distributed group of specialists within NTT DATA Romania, who make the best out of JVM-based technologies, creativity and business solutions. Referred to as Java Competence Center, we co-create and co-accelerate with key players in any field.
Without being limited to any business unit, we demonstrated our deep Java development expertise by delivering Saa S platforms in various domains: Web Applications in e-Commerce, Automotive, Telco, Insurance, Banking and Public sector, even Big Data and scientific applications.
We are seeking a Java Developer – Spring Backend or Backend-Focused Full Stack (Angular) to join a forward-thinking initiative in the financial sector, where we are building a new AI?powered platform that helps users submit tax appeals against imposed decisions, guiding them with relevant legislation examples and supporting the full appeals process.
In this role, you will contribute to the development of an intelligent backend pipeline powered by LLMs, vector databases, RAG optimization, Azure Open AI integrations, and a modern Angular frontend focused on AI?centric UX and seamless integration of model?generated outputs.
The project is fully owned and delivered from Romania, where our team has earned the client's trust to drive architecture, key technical decisions, and to grow the team ourselves by selecting colleagues we believe will thrive alongside us. You will join a full?Scrum team that we're building from the ground up for an exciting project at its very beginning.
What You'll Be Doing
Development of microservices and integration with the existing platform Implement a Java application using Spring Boot on backend side and Angular on frontend side, ensuring seamless compatibility, scalability, and fault tolerance Implement data models, APIs, and microservices to integrate with existing systems and databases, enabling seamless data exchange and real?time updates Develop algorithms and implement forecasting models to predict production volumes based on historical data, market demand, and other relevant factors Create intuitive user interfaces to facilitate data input, visualization, and analysis, enabling production planners to make informed decisions Collaborate with the testing team to ensure proper functionality, performance, and reliability of the application, conducting thorough unit and integration testing Optimize application performance by identifying and resolving bottlenecks, fine?tuning code, and implementing caching mechanisms where applicable Document the development process, including design decisions, technical specifications, and user guides, to ensure knowledge transfer and facilitate future maintenance Contribute to the integration of Generative AI capabilities (e.g., Chat GPT?based solutions) into enterprise applications Support LLM fine?tuning and prompt engineering activities to enhance domain?specific use cases (e.g.,
automation of business processes, document generation) Collaborate on the design and implementation of AI?driven features to improve data processing, decision?making, and user interaction Implement and maintain CI/CD pipelines using Git Hub Actions, ensuring efficient and automated build, test, and deployment processes Work with modern development tools and environments (e.g., Java/Spring Boot ecosystem, cloud?native and containerized setups) What You'll Bring Along A University degree or advanced diploma in a software engineering?related discipline, preferably in Computer Science, or equivalent experience At least 5 years of experience in a similar position Strong application development experience with Java and Spring Boot Experience with frontend?related frameworks and tools such as Angular is a plus Hands?on experience or strong interest in LLMs (e.g., Chat GPT), prompt engineering, or model fine?tuning is considered a strong advantage Basic to solid understanding of Generative AI concepts (Gen AI fundamentals) Solid experience with microservices architecture Experience with unit testing and test automation Working experience with Maven or similar build tools Experience with messaging technologies (Rabbit MQ, Kafka) Familiarity with Docker, Kubernetes, or other containerization frameworks Experience with Shell scripting and Git Working experience with databases: Oracle, Postgre SQL, Mongo DB Familiarity with build and deployment automation, including Git Hub Actions Exposure to cloud?based systems is a plus Excellent verbal and written communication skills in English Nice to have: good written and understanding skills in German