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).