Jobs at Doctolib

The Senior Software Engineer will design and maintain a Web and Mobile Design System using React and React Native, drive convergence between platforms, ensure accessibility, mentor team members, and improve developer experience through tooling and automation.

The Staff DataOps Engineer will design and implement data infrastructure strategies, optimize data pipelines, and provide technical guidance across teams to enhance data-driven initiatives.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

Ensure platform reliability, scalability, and observability at European scale. Build and maintain infrastructure-as-code, define SLOs/error budgets, lead cross-cutting reliability initiatives, improve incident detection/response, participate in on-call rotation, and partner with product and engineering teams to embed reliability practices.

Join Doctolib's Clinical DOPE team to design and implement fullstack features for prescription lifecycle, collaborate with product and design, ensure performance, security, and testability, integrate external drug databases, and improve medication alerting across France and Germany.

Lead platform reliability initiatives at scale: build and maintain IaC and automation, design reliability and observability components, define SLOs/SLIs and alerting, drive incident response and on-call improvements, and partner with product and engineering teams to embed reliability practices across 170+ applications.

Design and build full‑stack features using React and JVM technologies to improve healthcare products. Collaborate with PMs and designers, ensure performance, security, and test coverage, review code, and help evolve architecture and engineering standards.

The Engineering Manager will lead the Reliability & Observability team, drive observability strategy, manage crucial services, and ensure operational excellence in Doctolib's platform engineering.

The Workplace Experience Lead manages office services and compliance, coordinates events, oversees budget and supplier relations, and ensures a safe, efficient work environment.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

Design, build, and operate Doctolib's Medical Knowledge Platform: end-to-end indexing and retrieval for clinical AI. Implement large-scale vector search, embeddings, custom re-rankers, query processing, RAG systems, and retrieval evaluation to ground AI decisions in validated medical sources and meet strict latency and throughput requirements.

The Senior Site Reliability Engineer will lead observability strategy, enhance incident response, and improve platform reliability for healthcare professionals.

As a Senior Product Manager at Doctolib Telehealth, you'll define the product vision and strategy, collaborate with teams, and drive execution for remote consultations across Europe.

As a Senior HR Business Partner, lead strategic people initiatives in Sales & Marketing, drive transformation projects, and coach senior leaders through complex challenges in a dynamic environment.

The Senior Compensation Lead will advise senior leadership on compensation strategy, manage compensation projects, and partner with HR to attract and retain talent.

As a Senior Product Manager, you will develop and manage innovative healthcare products, working with cross-functional teams to enhance user experiences and meet market demands.

The Engineering Manager will lead the Observability & Reliability team, drive observability platform evolution, mentor engineers, and manage transversal services.

Build and maintain production data pipelines for AI systems, from ingestion and data capture through monitoring. Ensure data quality, privacy, anonymization, consent, retention, and GDPR compliance. Provide datasets for model training, evaluation, and annotation workflows, while developing monitoring pipelines and dashboards for AI performance. Collaborate with data platform, data science, engineering, product, and business teams to optimize scalable cloud infrastructure and manage costs.

Lead a four-person IT squad supporting Finance systems across four countries. Own the technical architecture, quarterly roadmap, budgets, ERP and integration projects, operational reliability, stakeholder steering committees, AI adoption, support processes, and change management. Manage hiring and team development while partnering closely with Finance leadership and overseeing SAP S/4HANA, SAP Integration Suite, SAP BTP, and related Finance tools.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.