Back-End Developer (Python, >3 yrs experience) bij Electric Ant Lab
Electric Ant Lab is expanding its team rapidly the coming months. We are looking for a recent graduate from a university looking for her/his first or second job. You have acquired the basic skills in university and you might be a rising star in a new method that you’ve (co-)developed. Electric Ant Lab is a start-up with an academic mindset, so be prepared to learn a lot of new skills on-the-job.
The back-end and front-end team that we are currently forming will build on the existing prototype but there is plenty of room for new ideas. You’ll have freedom to operate and lead the way in our SaaS back-end code development. You will work with various other experts all with their own specific expertise and all contributing to making the SaaS a success.
The following experience is relevant to us:
- Python (at least 2-3 years)
- Workflows (computational)
- Databases (various)
- Some linux administration (Debian)
- Some web development (front and/or backend) and hosting
- Living in the Netherlands or EU region
A bonus would be (some) experience with:
- Computational physics
We offer an inspiring work and team environment with flexible working hours in a fast-paced start-up with a can-do mentality. You can expect a competitive salary and good secondary benefits including access to sporting facilities and training/learning opportunities.
Electric Ant Lab is moving R&D from the lab to the laptop. We do so by providing intuitive Simulation-as-a-Service tools with novel scientific models of materials, complex computing methods, massive amounts of data and high-performance computing. On-demand and scalable. Which means we develop, host and run pretty complex and forward thinking code and a complex back-end with a number of sub-services.
Our company and our research has been backed by EU subsidies and since the start of this year by a growing community of innovative companies in the med-tech and chemical industries. These are companies that gradually understand that simulations of complex fluids with HPC resources provide the means for a better understanding and faster development of their products and materials.