Software Engineer (Java/Spring Boot) on the Path to Data / AI Engineer

Become part of our organisation and enrich us with your expertise. We live a flat hierarchy -- your voice and passion count. Software Engineer (Java/Spring Boot) on the Path to Data / AI Engineer

What to Expect

• Development of modern backend and data platforms based on Java, Spring Boot.
• Collaboration on data-driven solutions and AI-supported applications.
• Processing, integration and provision of large data volumes in modern system landscapes.
• Support in the design and implementation of data pipelines and AI workflows.
• Collaboration with software engineers, data engineers, data scientists and cloud specialists in interdisciplinary teams.
• Introduction and use of modern AI tooling and engineering practices.
• Responsibility for the entire software lifecycle -- from analysis through design and implementation to deployment.
• Participation in agile projects with modern technologies and high personal responsibility.
• Opportunity for professional development towards:
  • Data Engineering
  • AI Engineering
  • Cloud-native Data Systems
  • MLOps & AI Integration

What You Bring (Technical)

• University degree in computer science
• Several years of experience in development with Java and Spring Boot.
• Experience with Angular is an advantage.
• Good knowledge of modern software engineering practices such as Clean Code, Testing, CI/CD and Agile Development.
• Experience with REST APIs, relational databases and container technologies such as Docker or Kubernetes.
• Interest in data platforms, AI systems and modern cloud technologies.
• Motivation to delve into topics such as data engineering, AI enablement or machine learning.
• Ideally first contact with technologies such as Kafka, Python, Spark, Airflow, vector databases or cloud platforms.
• Analytical thinking skills and enjoyment in trying out new technologies.
• Fluent German and English skills. French skills are an advantage.

You bring solid experience in Java/Spring Boot development and want to take the next step: away from classic backend systems towards data-driven solutions, AI-supported applications and modern platform architectures. Together with experienced engineers, data specialists and architects, you develop innovative solutions for clients from banking, government, transportation and retail. You combine proven software engineering principles with modern technologies from the fields of data engineering, machine learning and AI enablement. You can expect a collegial atmosphere, exciting client projects and the opportunity to develop specifically towards data & AI -- hands-on and supported by our internal training.

Why Us

Swiss Employer Award, Best of Swiss Apps or Digital Economy Award. Our workplace culture and our projects win prizes. For our clients from banking, retail or governance, we develop user-centred digitalisation solutions. Away from prescribed paths, you can try new things with us and really let off steam. Here you will find everything your techie heart desires: In a dynamic and collegial environment, you drive your innovative ideas forward -- of course always with the help of the latest technologies.

Speaking of workplace culture: We not only demand agility in our projects but also promote it for our employees. With ti&m liquid working, we offer easily adaptable working time models and the possibility to take breaks. And with our ti&m academy, you decide where and how you want to continue your education.