Confirmed Backend Engineer - Carpool Monetization Ajouter aux favoris

About BlaBlaCar

BlaBlaCar is the world's leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries. Our team of 800 employees counts over 50 nationalities and is spread across our 5 global offices, 30% working fully remotely.

Your Mission

The Carpool Monetization team plays a key role at BlaBlaCar: designing and iterating on the models that monetize our core carpool activity.

We are looking for a Mid-level Backend Engineer to help us build, scale and optimize our Monetization core services. You will work on the full feature lifecycle, from early discovery and technical design to implementation, testing, deployment, monitoring and continuous improvement.

As part of a multi-stack team (3 FE engineers, 4 BE engineers, 1 PM, 1 UX Designer, 1 EM), you will contribute to initiatives such as subscriptions, freemium experience, insurance flows, ESC deployment (Energy Saving Certificates), and the rollout of monetization in new countries.

Our tech stack includes:

• Java backend services exposed through REST APIs
• Kubernetes-based infrastructure managed with Terraform
• Event driven architecture with Kafka
• Datadog for application and infrastructure monitoring

You'll also have the opportunity to contribute to frontend developments depending on your interests.
Your responsibilities

• Develop, maintain and monitor our Monetization core services
• Be responsible for the quality of the application, and contribute to improving it. Participate in design and code reviews
• Collaborate closely with frontend engineers, product managers, designers, and business stakeholders to define, develop, and deliver impactful features.
• Document your work and contribute to shared knowledge and technical standards
• Participate actively in continuous improvements across the team and codebase

Your qualifications

• You have solid experience from companies with a strong engineering culture, within a growth context.
• You are fluent in Java and know frameworks such as Spring, Spring Boot, JUnit, and Mockito.
• You have hands-on experience with Git, Docker, Kubernetes, Kafka, Database at scales and monitoring solutions (e.g., Datadog).
• You have a good knowledge of service-oriented and event-driven architecture, and can determine when to apply a given architectural pattern.
• Strong communication skills, humility, and a collaborative mindset
• Ability to balance fast iterations with high-quality delivery
• You have a results-driven and impact-oriented mindset
• Fluency in English

If you don't meet 100% of the qualifications outlined above, tell us why you'd still be a great fit for this role in your application!

What we have to offer

• Full remote possible in the country of employment
• 4 additional weeks on top of legal maternity/paternity leaves
• 50% healthcare coverage (Alan)
• Financial support for home office equipment
• Minimum 25 days holiday per year
• Local meal plan policy (Swile card)
• 50% transportation paid (Forfait Mobilité Durable)
• Free unlimited carpooling & bus rides
• Personal growth via trainings, mentorship, and internal mobility programs
• Employee Stock ownership plan
• Regular team building events
• 1 day off per year to test our product

Interested in joining the ride?

• a 45-min video-call with Maxime, Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions
• a 60-min video-call with Cyril, Engineering Manager, to discuss your experience and share more details about the team
• a 90-min live coding session with Software Engineers.
• a 60-min system design interview with Software Engineers.
• a 30-min video-call with Sebastien, VP Engineering, for vision fit and rounding off the process

Our hiring process lasts on average 25-30 days, offers usually come within 48 hours.

BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.