Software Engineer (Full-stack)_Intern
At Cardiologs, our mission is to make tomorrow’s medical diagnosis efficient and accessible to everyone, anywhere, anytime. We leverage machine learning (AI) and cloud computing technologies to fulfil this vision. Our first product is a SaaS application to help physicians diagnose cardiac diseases, already deployed worldwide.
We are a tight-knit team and we nurture our company culture with monthly all-hands meetings and apéros, weekly yoga classes, climbing activities, daily coffee breaks in our comfy kitchen... But most importantly, we believe that a good atmosphere at work makes people more efficient on what they are best at!
What you’ll do
We are looking for a Fullstack Software Engineer Intern able to work independently but who can communicate with the team, who will be in charge of their own project from architecture to implementation.
By building an entirely new feature of our report generation pipeline, you will be an integral part of our Engineering team where you will learn how to deliver production-ready code, for a true full-stack project.
This internship can lead to a full-time position.
Who you are
- A student in your last year of studies enjoying analytical problem-solving.
- Have some experience with Python.
- Keen on clean code and good practices.
- Previous experience with code management (git, code review...)
- Fluent in spoken and written English, and have at least basic notions in French.
Our Recruiting Process
Being authorised to work in the EU is a precondition of employment.
- Quick introductory HR phone call
- Quick technical phone call with a 10' tech test
- Technical interview in our office
If you feel like acing our technical interviews, here are a few ressources we like:
- Craking the Coding Interview book: http://www.crackingthecodinginterview.com/
- The Art of Unix Programming: http://www.catb.org/~esr/writings/taoup/html/
- Some Google Cloud Platform tutorials: https://cloud.google.com/python/tutorials/bookshelf-on-kubernetes-engine and https://cloud.google.com/sql/docs/postgres/best-practices