Confirmed Backend Engineer - Carpool Monetization

Engineering – Back-end /Permanent /Hybrid

About Bla

Bla

Car

Bla

Bla

Car 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 Bla

Bla

Car: 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 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 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 employment4 additional weeks on top of legal maternity/paternity leaves50% 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 events1 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 questionsa 60-min video-call with Cyril, Engineering Manager, to discuss your experience and share more details about the teama 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.

Bla

Bla

Car 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.