The mission of Scibids is to provide media buyers with fully automated buying strategies for display campaigns, leading to uncompared performances for a minimum of human work.

As a Backend Developer, your role will be to design, develop and improve Scibids’ SAAS product, which is the entry point of our whole customer relationship. Your main challenge will be to create and maintain the link between our clients needs and our AI-based platforms. Under the supervision of a project leader, you will be responsible of the development of this project, which will require a good comprehension of the product.

This position will combine high development standards, a relentless curiosity, a strong understanding of business priorities and the ambition for your work to become a real game changer!

On a day to day basis, your responsibilities will include:

• Improve Scibids SAAS interface allowing clients to configure Scibids solution, including developing the communication flow between these interfaces and Scibids algorithms.
• creating tools automating any repetitive process taking place at Scibids, in order to follow our “do things only once” philosophy
• working on a daily basis with our Data Scientist team in order to contribute to the continuous improvement of Scibids product

Minimum qualifications:

• Advanced knowledge of several programming languages
• Basic knowledge of Python.
• Knowing how to program in a simple and short way (KISS principle).
• Interest and ability to learn other coding languages as needed.

Preferred qualifications:

• Professional experience in an industry programing language (eg Python, C++…).
• Professional experience working working with APIs.
• Experience working with two of the following: distributed and parallel systems, information retrieval,machine learning, developing large software systems.
• Conducting a regular technology watch on web technologies subjects.

Technical stack relevant to the position

• Python
• Google BigQuery
• Google Cloud environment: Google Dataflow, Google Cloud Datastore, App Engine Standard, Cloud SQL, …

Cultural fit

• Do things only once. No repetitive task survives to ingeniosity and automation: at Scibids, everything needs to scale!
• Base your decisions on data points. Preconceived personal convictions rarely survive thorough confrontation with actual data.
• Work in team and be curious. Every Scibids member has stock-options and is focused on the same objective: make Scibids the next adtech unicorn! This means being interested in how one’s daily personal work fits in Scibids general strategy and having in mind the greater good of the company rather than individual accomplishments.
• Have a good laugh. We are a young, hard-working team with huge ambitions - long hours of work are wiped out with a drink or dinner with the team!

Screening call (30-45 min)
Technical interview (one afternoon)
Founder’s interview (2h)