Job Overview
Location
Paris, Pennsylvania, France
Job Type
Full-time
Category
Data Engineer
Date Posted
February 24, 2026
Full Job Description
📋 Description
- • Join Doctolib's Data & AI Platform team as a Staff Site Reliability Engineer, a pivotal role focused on shaping our data platform's strategic direction and architectural evolution.
- • Your mission will be to architect and implement enterprise-scale data solutions that not only accelerate our machine learning initiatives but also foster engineering excellence and unlock critical business insights across the organization.
- • You will be at the forefront of Doctolib's data-driven transformation, building and maintaining a robust, scalable data infrastructure that empowers our engineers, AI teams, and business stakeholders.
- • This role is integral to enabling innovation by providing the foundational data capabilities that drive our product development and strategic decision-making.
- • As part of our tech team, you will contribute to building innovative products and features that significantly improve the daily lives of healthcare professionals and patients, working within an agile, feature-team-oriented environment.
- • You will collaborate closely with product managers, designers, and business teams to ensure our data platform aligns with organizational goals and user needs.
- • A key responsibility will be to design and implement comprehensive enterprise-scale data infrastructure strategies, meticulously analyzing the impact and cost implications of major technical decisions.
- • You will be instrumental in establishing and enforcing architectural standards that ensure consistency, scalability, and maintainability across the entire organization's data landscape.
- • Your expertise will be crucial in building and optimizing complex, multi-region data pipelines, capable of handling petabyte-scale datasets with unwavering reliability.
- • A core focus will be ensuring 99.9% reliability for our data pipelines, implementing sophisticated monitoring and alerting systems to proactively identify and resolve issues before they impact users.
- • You will lead cost analysis initiatives, identifying key opportunities for optimization across our diverse data stack.
- • Your efforts will directly contribute to reducing infrastructure spend while simultaneously enhancing both performance and reliability of our data services.
- • You will serve as a technical guide and mentor to data engineers and cross-functional teams, conducting thorough architecture reviews to ensure adherence to best practices.
- • Driving the adoption of best practices in DataOps, security, and data governance will be a significant part of your role, ensuring our data assets are managed securely and efficiently.
- • You will be tasked with evaluating emerging technologies, conducting proof-of-concepts for new data tools and platforms, and actively contributing to the technical roadmap for modernizing our data infrastructure.
- • Our tech environment is built on a single, fully cloud-native platform, supporting web and mobile interfaces, multiple languages, and tailored to specific country and healthcare specialty requirements.
- • We are actively modularizing our platform, adopting a distributed architecture through reusable components to enhance flexibility and scalability.
- • Our technology stack is diverse and robust, including Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native, providing a rich environment for innovation.
- • We ethically leverage AI across our products to empower patients and health professionals, and you will play a role in the infrastructure that supports these advanced capabilities.
- • You will be a key player in ensuring the stability, performance, and cost-effectiveness of our data platform, directly impacting Doctolib's ability to innovate and serve its users.
- • This role offers the opportunity to influence the technical direction of a rapidly growing, mission-driven company in the healthcare technology sector.
- • You will work with cutting-edge cloud technologies and contribute to a data-driven culture that values reliability, scalability, and continuous improvement.
- • Your contributions will directly support Doctolib's mission to improve access to healthcare for everyone.
🎯 Requirements
- • 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar senior role, with a proven track record of architecting and scaling robust data platforms.
- • Extensive experience with Google Cloud Platform (GCP), including deep knowledge of Kubernetes and Terraform for automated deployments.
- • Strong proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses like BigQuery.
- • Highly skilled in programming with Python, coupled with a solid understanding of software development principles and best practices.
- • Excellent troubleshooting skills with a demonstrated ability to diagnose and resolve complex data infrastructure issues and performance bottlenecks.
🏖️ Benefits
- • Free comprehensive health insurance for you and your children.
- • Parent Care Program offering one additional month of leave on top of legal parental leave.
- • Free mental health and coaching services through our partner Moka.care.
- • For caregivers and individuals with disabilities, a package including remote policy adaptation, extra days off for medical reasons, and psychological support.
- • Flexibility to work from EU countries and the UK for up to 10 days per year via our flexibility days policy.
- • Subsidy from the Work Council to refund part of sport club membership or creative class fees.
Skills & Technologies
Python
TypeScript
Java
Swift
Kotlin
Senior
Remote
About Doctolib GmbH
Doctolib is a leading European digital healthcare company that connects patients with healthcare professionals. It offers a comprehensive platform for booking medical appointments online, managing patient records, and facilitating communication between doctors and patients. The service aims to simplify healthcare access, reduce administrative burdens for medical practices, and improve the overall patient experience. Doctolib's ecosystem includes a user-friendly app and website for patients to find doctors, specialists, and dentists, view availability, and book appointments instantly. For healthcare providers, it provides tools for practice management, appointment scheduling, and patient engagement, ultimately contributing to a more efficient and accessible healthcare system across Europe.
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