We are looking for creative engineers to join our ranks. As a member of our team, you will be asked to develop, deploy and monitor the various services of our data science platform.
Our engineering and operations team loosely follows an agile methodology and we expect all of our members to contribute their unique viewpoints to the overall decision making.
The platform we are building is extremely multi-faceted which means that our team is equally varied and eager to learn. As a critical part of the development and deployment process, we actively collaborate with data scientists from the academia and industry to gather requirements for improving the usability of our platform.
knowing how to set up and maintain linux servers in a cloud ecosystem is a big plus. You are familiar with continuous integration and have hands-on experience with designing automation pipelines for application development and deployment.
Experience with helm charts or with an infrastructure-as-code technology (Pulumi, Terraform, etc) is a plus.
In addition, you have experience in building applications with Python; knowledge of a python-based web development stack or further programming languages (Scala) are also considered a plus.
We offer you a stimulating, collaborative, cross-disciplinary environment in a world-class research institution. Our team of 13 hails from 10 countries and we are committed to upholding the team’s diversity in the future.
We deeply value work-life balance and will readily consider part-time employment options as well as occasional or regular home-office work.
In this dynamic position, you will make full use of your engineering skills to develop backend services, improve the stability, scalability, and performance of our platform, contribute to design decisions and investigate available technology options.
We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the job.
We are dedicated to open source software and we strongly encourage our team members to seek out opportunities to engage with and contribute to open source communities as a part of their development process.
Your work at the SDSC will contribute to improving the process of data science by providing a path toward reproducibility and reusability, with potential for significant impact in scientific fields as varied as astronomy, ecology, and personalized medicine.
If you have questions regarding this position, do not hesitate to send an email to : rok.roskar sdsc.ethz.ch.