The Role
Maintain and improve Doctolib’s cloud-native Data and AI Platform, including the Data Product Controller and Dagster orchestrator. Enable autonomous data product deployment through CI/CD and infrastructure as code, while monitoring reliability, performance, costs, data quality, lineage, and observability. Collaborate with data engineers, data scientists, and product stakeholders to resolve infrastructure issues and improve platform scalability, architecture, and developer experience.
Summary Generated by Built In
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 doYour 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
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
- 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
- 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.
Job details- Permanent position
- Tech stack: GCP (BigQuery, Cloud Storage, Pub/Sub, Cloud Run, IAM, Monitoring), Kubernetes, ArgoCD, Terraform, Crossplane, Dagster, Python, Datadog, Git
- Full-time
- Paris, France
- Hybrid work setup (up to 2 remote days per week)
- 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, 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 privacyAll information provided is processed by Doctolib for application management. For data processing details, click here: Germany | France | Italy | Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Skills Required
- More than 5 years of experience as a DataOps Engineer or in a similar role
- Proven track record of building and maintaining complex data infrastructures
- Strong proficiency with Kubernetes, ArgoCD, and Crossplane
- Expertise in Python
- Familiarity with cloud infrastructure and services, preferably GCP
- Experience with infrastructure-as-code tools such as Terraform
- Excellent problem-solving skills focused on data infrastructure bottlenecks and performance issues
- Fluency in English
- Knowledge of data governance principles and data security best practices
- Experience with CI/CD pipelines for data workflows
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The Company
What We Do
Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world. 1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services. 2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health. At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do: 1. We create helpful solutions for care teams and people. 2. We serve everyone equally and create well-designed and accessible technologies. 3. We team up with our users to strive for a healthier world and act as one team. 4. We protect our users' privacy. It’s their health, their data. To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset. www.doctolib.com
