Data Ops engineer

Your mission will be to improve and maintain an efficient, reliable and scalable platform that enables Data Product developers and owners to develop, deploy and maintain their data products autonomously, at scale, with clear and maintained interfaces and full observability - ensuring seamless data flow across the organisation and enabling data-driven decision-making. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients., * Maintain the Data Product Controller to give stakeholders full responsibility for managing their data products in an automated way (via CI/CD and infrastructure as code) - securely, reliably, and with full ownership

• Maintain the Data and AI Platform orchestrator (Dagster) to enable Data Product developers to orchestrate their data products in a decentralised way (Data Mesh), with ownership over their release process and job pipelines
• Monitor the data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure availability
• Offer observability components to empower developer teams and data product consumers with the right level of insight into costs, data quality, and data lineage
• Monitor platform costs, identify optimisation and saving opportunities, and collaborate with data engineers, data scientists, and other stakeholders
• Contribute to the continuous improvement of platform architecture, scalability, and developer experience across teams, * 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.

• Have more than 5 years of experience as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
• Have strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane)
• Have expertise in programming languages like Python
• Are familiar with cloud infrastructure and services, preferably GCP, and have experience with infrastructure-as-code tools such as Terraform
• Have excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues
• Are fluent in English

It would be fantastic if you:

• Have knowledge of data governance principles and best practices for data security
• Have experience with CI/CD pipelines for data workflows

• 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
• Case Study 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.