This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices. As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You’ll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals.
Job Responsibility
Design, implement, debug, and deploy Java-based applications across the full SDLC
Collaborate with cross-functional teams to develop robust, maintainable solutions
Contribute to technical design and architectural decisions using modern best practices
Maintain high code quality through unit testing and clean code principles
Support configuration, build automation, deployment, and continuous integration
Mentor junior developers and actively contribute to a culture of technical excellence
Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable
Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making
Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows
Requirements
Java, Spring Boot, Angular, Node.js, OOP, Design Patterns
JavaScript (Basics, AJAX), REST & SOAP Web Services
Git, Configuration Management, JIRA, XML (XSD, DTD)
Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities
Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks
Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications
Understanding of vector databases (e.g., Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval
Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance
Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs
Nice to have
Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase
Docker, Kubernetes
Security Best Practices, AOP (Aspect-Oriented Programming)