Staff DataOps Engineer (x/f/m)

Your Impact We are looking for a Staff DataOps Engineer to join the Data and AI Platform team. Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

Responsibilities

9% reliability and implementing advanced monitoring and alerting systems Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization What you'll bring Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

Requirements

Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.