We are looking for a Senior DataOps Engineer to join the Data and AI Platform team.

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.

What you'll do

Your responsibilities include but are not limited to:

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

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 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

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