Senior DataOps Engineer — Hybrid, Cloud‑Native Platform

Doctolib GmbH; Paris; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Paid vacation

Remote work flexibility

Relocation support

Job summary

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will build and maintain a scalable data platform that enables data product developers to deploy and operate their data products with full ownership and observability.

You will work with Kubernetes, Dagster, Terraform, Crossplane, ArgoCD, and GCP to ensure reliability, cost awareness, and developer-friendly interfaces across the organization.

Qualifications

• 5+ years of experience as a DataOps Engineer or in a similar role.
• Strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane).
• Expertise in programming with Python.
• Experience with cloud infrastructure and services, preferably GCP, and with infrastructure-as-code tools such as Terraform.
• Excellent problem-solving skills to identify and resolve data infrastructure bottlenecks and performance issues.
• Fluent in English.

Responsibilities

• Maintain the Data Product Controller so stakeholders manage their data products via automated CI/CD and IaC.
• Maintain the Data and AI Platform orchestrator (Dagster) for decentralised release processes and pipelines.
• Monitor the data platform for performance and reliability and implement proactive solutions.
• Provide observability components to give insight into costs, data quality, and data lineage.
• Monitor platform costs and collaborate with data engineers, data scientists, and other stakeholders.
• Contribute to ongoing improvement of platform architecture, scalability, and developer experience.

Skills

Kubernetes

ArgoCD

Crossplane

Python

GCP

Terraform

CI/CD

Observability

Data Mesh

Tools

Dagster

Datadog

Git

Job description

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will build and maintain a scalable data platform that enables data product developers to deploy and operate their data products with full ownership and observability.

You will work with Kubernetes, Dagster, Terraform, Crossplane, ArgoCD, and GCP to ensure reliability, cost awareness, and developer-friendly interfaces across the organization.