Backend & Integration Java Developer m/w/d M/F

We are looking for a Backend & Integration Java Developer to maintain and evolve a core enterprise application. You will work in a diverse environment, managing integrations with other systems and contributing to the modernization of the platform.

Main Responsibilities

• Maintain, debug, and improve existing backend services built mainly with Java (1.7/1.8), Spring Boot and some legacy components (EJB, Swing).
• Contribute to building and monitoring reliable integrations using tools such as WebMethods, IBM MQ and SFTP file transfers.
• Design and consume REST and Web APIs to connect different functional domains.
• Work with Oracle 19c databases on Unix environments, focusing on queries and data-related performance.
• Take part in the gradual modernization of the platform, including moving legacy parts towards microservices and containerized environments.
• Use AI-assisted development tools (e.g. GitHub Copilot, ChatGPT/Claude) in your daily work to speed up coding and debugging, while keeping a strong focus on code quality and security.
• Collaborate with Business Analysts, internal teams and external hosting partners (e.g. DXC) to align on technical specifications and releases.
  

• Completed studies in economics or computer science a comparable education (apprenticeship in Banking)

• Good experience with Core Java (1.7/1.8) and maintaining existing codebases.
• Experience with Spring Boot and Hibernate or similar frameworks.
• Exposure to legacy/enterprise Java technologies such as EJB and Swing.
• Experience deploying or running applications on application servers (ideally IBM WebSphere) in Unix/Solaris environments.
• Experience with Oracle databases (writing efficient SQL, working with Unix-hosted databases).
• Experience with enterprise integration and middleware (e.g. WebMethods, IBM MQ, SFTP).
• Experience building and consuming REST APIs.
• Comfortable using Git for version control.
• Interest in modernization topics: newer Java LTS versions (e.g. Java 17+), Docker/Kubernetes, microservices and modern API gateways.
• Familiarity with Unix command line, simple shell scripts and application monitoring is appreciated.
• Experience with AI-Assisted Development (use AI tools to help with code generation, debugging and recurring tasks. Apply good prompt-writing practices and understand the strengths and limits of AI coding assistants. Keep a critical eye on AI-generated code, review it carefully and respect security / confidentiality constraints)

• Solid analytical and troubleshooting abilities, especially in distributed or integrated environments.
• Pragmatic mindset: able to keep production stable while contributing to the roadmap for modernization.
• Clear and open communication, with the ability to work closely with different technical and functional teams and external partners.