Senior Data Ops engineer (x/f/m)

Doctolib is hiring a Senior Data Ops engineer (x/f/m) in Paris, France. Level rates it ; you can apply on Doctolib.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Kubernetes, Argocd and Crossplane among its tools and skills.
Level classes it as a senior role.
Doctolib has 155 other open roles on Level.

AI in this role

Maintain and scale a data and AI platform ensuring reliable data flow and orchestration for developers.

kubernetesargocdcrossplanedagsterpythonterraformgcp

dataopsinfrastructure-as-codeci-cdobservabilitydata-mesh

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 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

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.

How we rate this

Senior Data Ops engineer (x/f/m) at Doctolib rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Ops engineer (x/f/m) is an open job at Doctolib.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris, Paris, France.
The job was posted on August 25, 2026.
Seniority: senior.
Applications are handled by Doctolib. Apply on Doctolib

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DataopsInfrastructure As CodeCI/CDObservabilityData MeshKubernetesArgocdCrossplane

Questions you could be asked

Tell me about a project where dataops was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where ci/cd was part of your work. What did you do?
Tell me about a project where observability was part of your work. What did you do?
Tell me about a project where data mesh was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Dataops, Infrastructure As Code, CI/CD, Observability, and Data Mesh. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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