Senior Data Ops engineer (x/f/m)

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.

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.

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.

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

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 | France | Italy | Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.