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Doctolib Logo Doctolib · IT - Software Development

Staff DevOps - Data Platform

France, Paris · Job Posted January 15, 2026
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Job Description

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platform team. 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.

Job Responsibility

  • 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

Requirements

  • 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
  • Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
  • Authority on implementing network and IAM security best practices
  • Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
  • Highly skilled in programming with Python, and have a solid understanding of software development principles
  • Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
  • 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 are skilled at designing APIs that provide reliable and efficient access to data
  • Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
  • Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
  • Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable 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
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
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