Kyso (Techstars W'18) is building a community platform for data scientists, to publish and share reusable data-science studies. Our users can upload existing jupyter notebooks to Kyso, where they are published straight to the web and render as beautiful blog posts. Published studies can then be cloned and extended using our cloud jupyter data-science environment.

You will:
Design, build, and maintain APIs across Kyso’s offering.
Connect with cloud systems such as AWS and GCP to run data-science environments.
Build and manage container images and run container clusters to host our environments.

You may be fit for this role if you:
Enjoy and have experience building APIs.
Think data-science is exploding and we need to build tools to help.

We work with node.js, and our data-science environments are written in python. However, it’s not a requirement for you to have used these languages before; we care much more about your general engineering skills than knowledge of a particular language or framework.

Useful skills:
Experience with docker and containers, and running them in the cloud.
Experience with AWS cloud systems and networking.

We look forward to hearing from you.