Extensive software development experience in enterprise-grade applications and distributed systems.
Strong expertise in Java ecosystem, Quarkus, Jakarta EE, REST APIs, and Oracle SQL.
Proven experience in technical design, and scalable system development.
Strong knowledge of AI-powered solutions, AI integration patterns, and leveraging AI technologies to improve business outcomes.
Practical expertise with GitHub Copilot or comparable coding assistants, AI agents, reusable prompting patterns, RAG and AI development best practices
Experience working with Oracle Databases (SQL) and performance optimization.
Strong DevOps mindset with hands-on experience in CI/CD pipelines (Jenkins/GitHub Actions), automation, and release management.
Proficient in software quality engineering, including JUnit-based automated testing, debugging, and root cause analysis.
Proficiency with engineering tools such as IntelliJ IDEA, Jira, Confluence, ELK, UML/ERM.
Experience with IBM MQ, Vaadin Framework, and SQL Developer is an added advantage.
Experience working in containerized platforms such as Docker and Kubernetes.
Proficient in English; basic German language skills are an advantage

Lead Java Developer

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