Python Backend Engineer - Daily

BlaBlaCar

Paris or Remote, France

About BlaBlaCar Daily

We’re looking for people to join our journey on BlaBlaCar Daily. We are an independent business unit growing fast following the acquisition of Klaxit in March 2023. We are going to be about 100 people together building the best commute carpooling solution. We are actively developing and testing the product in France, Belgium and Switzerland with thousands of daily carpoolers.

Your Mission

We are looking for a Python Backend Engineer to join us on the development of BlaBlaCar Daily on the Compliance & Operations squad. You will work on technical challenges and product feature developments related to topics such as fraud fighting, payment, compliance with internal and external processes, and security requirements. You will be involved in all parts of the development, from the early conception meetings, development and test strategy, to deployment in production, on-call, observability, and support. You will mainly work on backend features with occasional contributions to our frontend projects.

Your responsibilities

Participate in the whole application development lifecycle, including: early-stage product meetings, architecture design, development, tests strategy, deployment to production, monitoring, alerting and support
Support and collaborate with other engineers on the team to develop our backend projects together (e.g: quality process, develop unique and innovative features for fighting fraud, contribute to platformisation)
Adapt existing feature implementations to growing scalability challenges
Develop new functionality to meet internal and external demands required for Daily to remain compliant in the markets we operate in

Your qualifications

At least 3 years of experience in back end development. Our internal stack is Python (Flask), if you have experience on Django or APIrest it’s a good fit too
Familiar with databases; especially relational ones like PostgreSQL (and the extension PostGis)
Computer science background (database design, algorithms and data structures, networking, abstractions, security)
Ability to find the good balance between fast iterations and quality of delivery
Ability to take a research problem from conception to production-ready for our users
Fluent in English.

And it would be nice (not required) if you had:

Experience with machine learning algorithms applied to fraud fighting
Experience with developer tools like Docker, Kubernetes, and monitoring solutions

Apply Now

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