Java Software Engineer

We are looking for talented Java Software Engineers to join our rapidly growing team in Munich (Germany). This is a unique opportunity to contribute to the expansion of our highly innovative software product, Genedata Expressionist®.

Genedata Expressionist® is not just a software, it’s a revolution in the biopharma industry. It transforms the way mass spectrometry data is processed, analyzed, managed, and reported. As a member of our team, you will play a crucial role in enhancing this powerful enterprise software solution and shaping the future of biopharma R&D.

• Innovate and Create :
  You will be at the forefront of our product development, transforming complex requirements into innovative features.
• Customer-Centric Development :
  You will focus on high-impact projects driven by our customers’ needs.
• Collaboration with Experts :
  You will collaborate with top-tier scientists, driving the development and successful delivery of our industry-leading software innovations.
• Code Quality Assurance :
  You will perform code reviews and assess the technical impact on our codebase, ensuring the highest level of quality and efficiency in our software.
• Leadership by Example :
  You will inspire your peers through your work ethic, dedication, and commitment to our mission. Your actions will set the standard for excellence within our team.

• Education :
  University degree in Computer Science, Software Engineering, Mathematics, Bioinformatics, or a related field.
• Experience :
  Extensive professional software development experience. Experience in the biopharma or life‑science industry would be a plus.
• Java Expertise :
  Proficient in Java with a deep understanding of the language, its libraries, and frameworks. Experience with Java ecosystem and frameworks like Spring, Hibernate, and Maven is highly desirable. Experience developing and operating applications in cloud environments (especially AWS) and knowledge of Kotlin as an additional JVM language are advantageous.
• Problem‑Solving Skills :
  Strong analytical and problem‑solving skills. Ability to break down complex problems and develop effective, scalable solutions.
• AI‑Assisted Development (Optional) :
  Familiarity with AI‑assisted development tools to enhance productivity, code quality, and maintainability is a plus.
• Communication Skills :
  Proficient in both written and spoken English.
• Team Player :
  Proven ability to work effectively in a multinational global team environment, including remote collaboration on large and complex projects.
• Quality Focus :
  Dedication towards delivery of stable and robust software solutions.

• Experience in the biopharma or life‑science industry would be a plus.