Senior Data Engineer (x/f/m)

Doctolib

YOUR IMPACT We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion. Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases * Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models * Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently * Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability * Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption * Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI) * Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets * Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment WHO YOU ARE 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. You'll be a great fit if you: * You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads * You have strong experience with the GCP data ecosystem and proficiency in Python and SQL * You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search) * You have experience designing data architectures for RAG, embeddings, or model training pipelines * You have knowledge of data governance, security, and compliance for sensitive or regulated data * You are fluent in English It would be fantastic if you: * You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field * You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning * You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Deep Dive * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML * Full-time * Paris, France * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Doctolib

YOUR IMPACT We are looking for a Senior Site Reliability Engineer to join the Core Reliability & Observability team in Platform Engineering. Your mission will be to shape Doctolib's observability strategy and ensure our platform remains reliable, debuggable, and scalable at a European scale. You will work in a feature team developing logging, metrics, tracing, and alerting capabilities, contributing directly to supporting 400,000 health professionals and 80 million patients in their daily healthcare journey. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Lead the observability strategy across the platform, with an emphasis on building scalable, developer-friendly logging and tracing capabilities * Identify and lead large-scale cross-cutting reliability initiatives, including improvements to our incident detection, response, and postmortem analysis capabilities * Take part in the on-call rotation, and actively contribute to improving our on-call experience by refining alerting, reducing noise, and ensuring actionable telemetry WHO YOU ARE 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. You'll be a great fit if you: * Have a solid hands-on experience (3y+) on a large-scale production platform * Have proven experience with cloud platforms such as AWS, Azure or Google Cloud * Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes) * Have a strong understanding of Helm for managing Kubernetes manifests and ArgoCD for GitOps workflows * Have deep expertise in observability tooling and architecture, such as: * Logging: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector * Tracing: OpenTelemetry or proprietary APMs * Metrics: Prometheus, Thanos, Datadog, or equivalent * Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and a deep understanding of infrastructure as code principles * Have experience with monitoring and observability tools * Like troubleshooting performance issues in complex environments * Are fluent in English It would be fantastic if you: * Have experience contributing to open-source observability projects * Have worked in a high-growth tech environment * Are passionate about developer experience and platform engineering LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical SRE Interview * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: Kubernetes, Prometheus, OpenTelemetry, Loki, ArgoCD, Ruby, Python, Go * Full-time * Paris, France * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Doctolib

JOIN OUR MISSION, JOIN DOCTOLIB!  We are looking for a Senior AI Engineer to join the Patient team in Paris.  The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing. You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them. Your responsibilities include but are not limited to: * Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers). * Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML. * Build evaluation and observability into every stage, with offline and online evaluation. * Set up the data/event feedback loops that drive iteration and feed deeper ML later. * Improve search relevance and ranking on Patient facing products , raising result quality * Own production quality: latency reliability, monitoring, and maintainability. * Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business.  WHO YOU ARE 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. You could be our next team mate if you have: 1. Production deployment: ability to ship algorithms to production (ECS-based service on AWS) 2. Strong analytical mindset: result-oriented,  patient-first approach 3. Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production.  4. Hands-on experience building end-to-end retrieval: ranking,  reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR 5. AI-engineering proficiency: turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch 6. Architecture-first approach: you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling 7. Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring 8. Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability   Now, it would be fantastic if you: * Experience at a B2C marketplace (e-commerce, hospitality, travel) * Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference * Have experience with search engines or information retrieval concepts * Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers) * Have experience in a healthcare or other regulated domain (GDPR / HDS) WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support   THE INTERVIEW PROCESS  * A first interview with a member of the Talent Acquisition team * A coding interview * An agentics system design  * A final interview  * Reference check    JOB DETAILS * Permanent position * Full Time  * Workplace: Levallois * Start date : As soon as possible     At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.  Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.