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Tech Stack
Tools & technologiesDockerJavaJenkinsKubernetesPythonReact
About the role
Key responsibilities & impact- Develop and maintain web-based user interfaces as part of an international agile development team
- Contribute to the design, development, and maintenance of modern software applications across the full stack
- Collaborate with developers, designers, and product teams to implement user-friendly features and improve application usability
- Support the development of AI-powered video analysis solutions in the biometrics domain
- Participate in code reviews, testing, debugging, and continuous improvement initiatives
- Learn and apply best practices in software development, DevOps, and agile methodologies
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- First professional experience (internship, working student position, apprenticeship, or up to 2 years of experience) in software development
- Good knowledge of Java, Python, and/or React through academic projects or professional experience
- Basic understanding of containerization technologies such as Docker; familiarity with Kubernetes is a plus
- Interest in AI, computer vision, or biometrics; previous experience in biometrics is not required
- Familiarity with development tools such as Git; knowledge of Jira and Jenkins is a plus
- Interest in creating intuitive and user-friendly applications
- Strong willingness to learn, proactive mindset, and good communication and teamwork skills
- Good written and spoken German and English.
Benefits
Comp & perks- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Full-Stack Software DevelopmentJava ProgrammingPython ProgrammingReact DevelopmentContainerization TechnologiesDockerKubernetesCode ReviewTestingDebugging
Soft Skills
Proactive MindsetGood CommunicationTeamwork SkillsWillingness to LearnInterest in User-Friendly Applications
