Senior Data Ops engineer (x/f/m)

Doctolib; Levallois-Perret; Hybrid; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Paid vacation 25 days + 14 RTT

Mental health and coaching services

Work from abroad up to 10 days/year

Lunch vouchers Swile card

Transport subsidy 50%

ParentCare Program

DoctoGrowth program

Disability accommodation package

Relocation support

Access to AI tools

Job summary

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will maintain automated data product controllers and a Dagster-based platform, focusing on scalable, observable data flows and cost-aware operations.

You will work with data engineers, data scientists and other stakeholders to improve architecture, performance and developer experience across teams, while enabling data-driven decision making.

Qualifications

• 5+ years of experience as a DataOps Engineer or similar role with track record in building and maintaining complex data infrastructures.
• Strong proficiency with data engineering and infrastructure tools (Kubernetes, ArgoCD, Crossplane).
• Expertise in Python and cloud infrastructure, preferably GCP, plus experience with infrastructure-as-code (Terraform).
• Excellent problem solving for bottlenecks and performance in data platforms.
• Fluent in English.

Responsibilities

• 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).
• Maintain the Data and AI Platform orchestrator (Dagster) enabling decentralised Data Mesh release processes and pipelines.
• Monitor the data platform for performance and reliability, troubleshoot issues and implement proactive solutions.
• Provide observability components for insight into costs, data quality and data lineage.
• Monitor platform costs and identify optimisation opportunities in collaboration with data engineers and data scientists.
• Contribute to continuous improvement of platform architecture, scalability and developer experience.

Skills

DataOps Engineer

Kubernetes

ArgoCD

Crossplane

Python

GCP

Tools

Dagster

Terraform

Datadog

Git

Job description

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 visionhere.

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
• 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.