Staff DataOps Engineer (x/f/m)

We are looking for a Staff DataOps Engineer to join the Data and ML platform team.

As a Staff DataOps Engineer , your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will be working in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business across the organization.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Responsibilities

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

About our tech environment

• Our solutions are built on a single fully cloud‑native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• 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.

Qualifications

• 7+ years of experience as a Senior DataOps Engineer or in a similar role, with a history of architecting and scaling robust data platforms
• Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as Redshift or BigQuery
• Highly skilled in programming with Python, and a solid understanding of software development principles
• Extensive experience with cloud infrastructure, preferably on GCP, AWS, or Azure and command of Kubernetes & Terraform for automated deployments. Proven implementation of network and IAM security best practices
• Excellent troubleshooter who excels at diagnosing and fixing data infrastructure, identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non‑technical audiences

Nice to have

• Hands‑on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and ability to design APIs that provide reliable and efficient access to data
• Applied data governance principles to manage data quality, security, and compliance, and understanding of controls that protect sensitive information
• Experience with CI/CD tools and methodologies for data projects, building automated pipelines that streamline development, testing, and deployment
• Practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost‑reduction strategies, and comfort in analyzing infrastructure spending and optimizing resource allocation

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card

The interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

Job details

• Permanent position
• Full‑time
• Paris
• Start date: as soon as possible

All information provided is processed by Doctolib for application management. For data processing details, click here.

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

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, 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!

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