They are a spin-off company from ETH Zurich specialized in data analytics and process modeling for the process industry with a particular focus on the biopharmaceutical and chemical domains.
Implement communication with 3rd party systems and databases
Develop backend data processing pipelines
Integrate machine learning algorithms
Deploy and monitor software installations for multiple clients
Extend our unique technology with your smart ideas and concepts
Excellent university degree (at least Bachelor) in computer science, informatics, or similar fields
Excellent Golang coding skills for backend development
Extensive DevOps and CI/CD experience
Knowledge in container-based technologies (Docker and Kubernetes)
Experience with REST/gRPC
Familiar with version Control (Git)
Experience in automatic testing and validation of machine-learning code
Experience in producing production-ready code
Understanding of micro-service architectures
Interest in engineering problems and challenges related to industry 4.0 in biotechnological, chemical and pharmaceutical processes
Fluency in written and spoken English
Organized and structured working, strong communication, dedication, creativity, divergent thinking, enthusiasm
Integration into a young and dynamic team of computationally experienced chemical engineers, biotechnologists and computer scientists ready to master the digitalization challenge in the process industry.
Sharp learning curve in a challenging and highly interdisciplinary working environment.
Integration in our agile SCRUM development team, open towards modern technologies and solutions.
Possibility to spend 10% of your work hours into a work relevant personal research project.
Self-improvement opportunities supported by regular code reviews and coding dojos.