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Become part of our team!

Our job offers:

System Administrator / Development Operations m/f/d

Full-time/part-time

Your tasks:

  • You support our team in software projects with a focus on DevOps and infrastructure in conception, architecture and implementation
  • You help with customer projects, the further development of our own software solutions and the internal IT infrastructure.
  • You are happy to take responsibility for various sub-projects
  • You will have the opportunity to help shape our ways of working and topics and will work in an agile team with modern workflows and tools.

You have:

  • A degree in computer science, a comparable engineering field or training as an IT specialist
  • already professional experience in the areas of system administration, infrastructure setup, operation of SaaS solutions and good knowledge in the area of Unix and cloud infrastructure
  • basic knowledge of Docker, CI/CD and software development
  • ideally also knowledge of modern systems, technologies and tools such as Kubernetes, PostgreSQL, MongoDB, distributed systems, Keycloak, GitLab, Kafka, MQTT, Grafana, Prometheus, OAuth2
  • an agile and reliable way of working and you like to work in a team
  • motivation to develop a growing company and make a difference

We offer you:

  • the possibility to work in many exciting projects to participate and challenging, varied tasks zu meistern
  • the chance to work with an up-and-coming Team help shape the future of a fast-growing company and bring in your own ideas einzubringen
  • harmonious working environment, flexible Arbeitszeiten, HomeOffice und RemoteWork Möglichkeiten
  • individuell zugeschnittene further development opportunities
Contact person: Benedikt Wein

Data Scientist m/f/d

Full-time/part-time

Your tasks:

  • You support our team in customer projects, the further development of our own Data as a Service solution
  • You independently take on the conception, implementation and presentation of complex, data-driven research and analysis projects in agile Scrum teams
  • Based on the latest data mining methods, you develop machine learning models and algorithms for the optimisation of concrete processes
  • You perform data and error analyses to improve models and to clean and validate data
  • In cooperation with software developers and machine learning engineers, you implement analytical models
  • You analyse data for trends and patterns and interpret them with a clear objective
  • You have the opportunity to help shape our ways of working and topics and will work in an agile team with modern workflows and tools

You have:

  • Already a successfully completed degree in mathematics, natural sciences, computer science or several years of relevant professional experience
  • Experience in data mining and statistical analysis techniques (Python, etc.), data processing, database programming and data analysis
  • A very secure handling of cloud ML platforms as well as ML libraries and frameworks (TensorFlow, PyTorch, Keras, Scikit-learn and others)
  • Sound knowledge of data visualisation methods (Tableau, Kibana, Power BI, etc.)
  • a high level of teamwork, motivation and self-organisation
  • very good communication skills in German and English
  • ideally also knowledge of modern software development, with technologies and tools such as Kubernetes, Kafka, MQTT, Java, Kotlin, Spring Boot, Microservices, Git, Jira
  • an agile and reliable way of working and you like to work in a team
  • motivation to develop a growing company and make a difference

We offer you:

  • the possibility to work in many exciting projects to participate and challenging, varied tasks zu meistern
  • the chance to work with an up-and-coming Team help shape the future of a fast-growing company and bring in your own ideas einzubringen
  • harmonious working environment, flexible Arbeitszeiten, HomeOffice und RemoteWork Möglichkeiten
  • individuell zugeschnittene further development opportunities
Contact person: Benedikt Wein

No suitable job description for you?

Nevertheless, you are welcome to send us your speculative application, visit us at our Discord Channel, or just drop by.
We are always looking for motivated new team members!