Senior Backend Engineer, Python & AI Cloud
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Job summary
CarCutter is seeking a Senior Backend Engineer to power the core image processing platform. You will design, build, and operate Python services, connect to SQL databases and queues, and optimize AWS infrastructure.
You will collaborate across product, design, and AI teams to modernize architecture and enable agent-assisted workflows. You will work in a hybrid Paris-based setup, contributing to scalable cloud-native solutions, implementing solid testing, and shaping future software development
Qualifications
- At least five years of backend software development experience.
- Strong expertise in Python.
- Hands-on Linux experience including system administration.
- Experience with SQL databases and queue-based processing.
- Solid understanding of APIs, containers, security, and distributed systems.
- Experience with automated testing, CI/CD, and documentation.
Responsibilities
- Design, develop, and maintain backend services in Python.
- Improve and operate AWS cloud infrastructure.
- Support transition to modular, scalable architecture.
- Enhance automated testing (unit & end-to-end).
- Develop and maintain APIs, databases, and messaging workflows.
- Apply DevOps practices to ensure reliable computer vision capabilities.
- Monitor systems, investigate incidents, and improve reliability.
- Contribute to architecture, security, CI/CD, and standards.
- Collaborate with cross-functional teams (application, frontend, cloud, data, AI).
- Explore AI coding agents and agentic workflows where beneficial.
- Define reviews, testing, security, monitoring, and deployment practices.
Skills
Tools
Job description
At CarCutter, we are redefining automotive sales with AI-powered image technology that helps dealerships and marketplaces sell more vehicles, faster.
Our platform transforms the vehicle photography workflow with hyper-realistic 3D backgrounds, interactive 360° spins, precise cut-outs, grounded shadows, and consistent branding. By integrating advanced AI models into every stage of the process, we help businesses produce high-quality vehicle imagery at scale while improving efficiency, engagement, and conversion.
CarCutter is a cutting-edge SaaS solution trusted by leading players in the automotive industry.
Location: Paris, Place de Clichy, 75008
Work model: Hybrid, with two remote days per week
Team is responsible for supporting and evolving the core CarCutter platform.
Building and releasing new features, improve customer satisfaction, and ensure that the platform remains scalable, reliable, and easy to operate as the business grows.
For example, the team recently launch the new 360 feature.
You will help shape how we build and operate software in the cloud, make better use of AWS services, and improve the speed, reliability, and scalability of our systems.
You will work with Flavio, our Engineering Manager, Joffrey and Sebastien, Senior Backend Engineers closely with François and the wider Product, Design, and Engineering organization.
As a Senior Backend Engineer, you will work on the core systems behind CarCutter’s image processing platform.
Our Python backend integrates with multiple APIs that trigger image-processing workflows and connect to our computer vision services. We use SQL databases and message queues to manage images and deliver results directly to customer systems.
You will help ensure the smooth flow of images across our platform, operate reliable containerized Linux services, and monitor and improve our AWS infrastructure. You will also contribute to our engineering practices, including source code management, automated testing, documentation, and CI/CD.
This role also offers the opportunity to help define the next generation of software development at CarCutter. We are introducing AI coding agents and agentic workflows across the software development lifecycle, from requirements analysis and technical specifications to implementation, testing, code review, documentation, incident investigation, and operational improvements.
We are looking for someone who is curious about these new ways of working, while applying strong technical judgment and taking full ownership of the resulting software.
Design, develop, and maintain backend services in Python.
Build flexible and reliable solutions that meet customer and product requirements.
Improve and operate our AWS cloud infrastructure.
Support the transition from our legacy monolith to a more modular and scalable architecture.
Improve automated testing, including unit and end-to-end testing.
Develop and maintain APIs, database integrations, message queues, and image-processing workflows.
Apply DevOps practices to make computer vision capabilities reliably available to all customers.
Monitor systems, investigate incidents, and continuously improve platform reliability and performance.
Contribute to architecture, security, documentation, CI/CD, and engineering standards.
Collaborate with application, frontend, cloud, data, and AI teams across the organization.
Use AI coding agents and agentic workflows where they improve engineering outcomes, including implementation, refactoring, test creation, research, documentation, and incident response.
Help define how agent-assisted work should be reviewed, tested, secured, monitored, and deployed safely.
Evaluate new agentic practices and turn successful approaches into repeatable workflows.
Share knowledge and contribute to a collaborative, high-quality engineering culture.
At least five years of experience in backend software development.
Strong expertise in Python.
Hands-on experience with Linux, including system administration and networking fundamentals.
Experience working with SQL databases and queue-based processing.
A solid understanding of software architecture, APIs and protocols, containers, security, and distributed systems.
Experience with software development best practices, including TDD, BDD, automated testing, documentation, and CI/CD.
Experience developing, operating, and monitoring cloud-based solutions, preferably on AWS.
Strong source code management practices, preferably with Git.
A proactive and pragmatic approach to problem-solving.
A strong sense of ownership and attention to quality.
The ability to work effectively in a collaborative, cross-functional team.
Professional working proficiency in English.
Experience using AI-assisted development tools or coding agents in real engineering work, or a strong interest in adopting them thoughtfully.
The ability to critically assess AI-generated code and recommendations, including their correctness, maintainability, security, performance, and operational impact.
An interest in improving not only software, but also the workflows used to specify, develop, review, and operate it.
Experience with Terraform.
Experience with AWS services such as API Gateway, Lambda, ECS and RDS.
Experience operating image-processing or data-intensive systems.
You will work on the systems that power the entire CarCutter product. Backend services are central to every customer workflow and every major product initiative.
The backend team works closely with application, frontend, cloud, data, and AI teams. You will contribute to a wide range of projects and solve problems across multiple areas of the platform.
Your work will directly influence platform reliability, product capabilities, and the customer experience. The backend team is on the critical path for delivering the company’s vision and meeting customer needs.
You will contribute to an ongoing transformation from a monolithic backend to a more modular, scalable, and cloud-native architecture.
You will work in a dynamic startup environment with a strong focus on collaboration, technical quality, experimentation, and continuous improvement.
We are ambitious and set challenging objectives for ourselves.
We continuously improve our products, technology, and ways of working.
We are a team of passionate people who value collaboration.
We use AI and automation to expand what engineers can accomplish, not to replace judgment, collaboration, or accountability.
We encourage experimentation while maintaining high standards for reliability, security, and maintainability.
We turn successful tools and workflows into shared practices across the engineering organization.
Introductory call: A video call with Talent Acquisition
Hiring manager interview: A conversation to get to know each other and discuss the role in more detail.
Technical assessment: An assessment reflecting the real work at CarCutter, including practical agentic coding scenarios and a discussion of your technical decisions and problem-solving approach.
Final interview: A conversation with our CTO.
Even if you do not meet every qualification, we would still be happy to hear from you if you have relevant experience and a strong interest in the role.
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