Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity.
As a Software Engineer, you’ll be responsible for the end-to-end development of software solutions that connect our AI and Data Engineering capabilities with tangible business value. You’ll design scalable backend infrastructure, create functional user interfaces, and ensure secure, compliant application delivery across the organization.
HOW WILL YOU MAKE AN IMPACT?
"The software engineer sits at the vital link between data capabilities and business value, ensuring that every machine learning model and data insight is operationalized into a robust, scalable, and usable application."
Navigating between technical infrastructure and business needs, you will have the opportunity to design the tools and applications that drive business efficiency across the Maison.
YOUR MAIN MISSIONS
Within the Cartier Data Office, you will build business-ready applications, high-performance microservices, and functional internal tools.
End-to-End Application Delivery: You will design and develop complete software solutions, handling both server-side logic (Python, FastAPI) and client-side interfaces (HTML, CSS, JS).
API & Microservices Architecture: You will build and maintain microservices and REST APIs to expose data and ML capabilities, ensuring seamless integration within the wider ecosystem.
Organizational Collaboration: You will bridge the gap between tech and business, collaborating effectively with Data Scientists and Data Engineers to operationalize machine learning models and data pipelines into production workflows.
Platform Operations & DevOps : You will maintain robust deployment pipelines (CI/CD, Git) and infrastructure on Google Cloud Platform ensuring reliability and long-term maintainability.
Compliance & Governance: You will ensure all software adheres to group standards, security protocols, and evolving AI regulations, proactively adapting to changing governance models.
Operational Excellence: You will drive engineering efficiency by creating standardized project templates and reusable libraries to significantly accelerate Time-To-Market.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
You have a Master’s degree in Computer Science, Software Engineering, or a related scientific field and 3-5 years of experience in full-stack or backend development.
You have strong proficiency in Python and backend frameworks (e.g., FastAPI), along with knowledge of standard frontend web technologies (HTML, CSS, JavaScript).
You have a deep understanding of Google Cloud Platform (Cloud Run, GKE) and modern deployment workflows (CI/CD, Containerization).
You possess the ability to operate effectively within large, matrixed organizations, managing diverse stakeholders and legacy systems.
You are agile and able to align with rapidly evolving internal standards, procedures, and regulatory frameworks (e.g., AI governance).
You can act as a translator, streamlining the connection between the tech and the business to ensure seamless integration of our solutions within the wider ecosystem.
HOW DO WE KEEP YOU SMILING?
In a young and dynamic team focused on personal development, you will take part in Cartier’s tech journey, leveraging state-of-the-art tools.
You will work with multicultural stakeholders from different business units for a leading Company in the luxury industry.
You will have the opportunity to mentor team members as our engineering maturity grows.
YOUR JOURNEY WITH US
Introductory Call: If selected, we will reach out ASAP for an informal introductory call.
Technical Interview: A deep dive into your Python, System Design, and software engineering skills with our Team Lead.
#Richemont #WeCraftTheFuture
