Senior DataOps Engineer | Hybrid Cloud Platform

Doctolib; Paris (TX); Hybrid; USD 94,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Paid vacation 25 days + RTT

Remote work up to 2 days/week

Lunch vouchers

Job summary

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will maintain scalable data product platforms, enable autonomous data product development, and ensure observability and cost awareness across teams.

You will collaborate with data engineers and scientists to improve platform architecture, governance, and developer experience, with a hybrid work setup in France.

Qualifications

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

Responsibilities

• Maintain the Data Product Controller for automated data product management via CI/CD and infrastructure as code.
• Maintain the Data and AI Platform orchestrator (Dagster) enabling decentralised release processes and pipelines.
• Monitor data platform performance and reliability; troubleshoot issues and implement proactive solutions.

Skills

Python

CI/CD

Observability

Tools

Kubernetes

ArgoCD

Crossplane

GCP

Terraform

Dagster

Job description

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will maintain scalable data product platforms, enable autonomous data product development, and ensure observability and cost awareness across teams.

You will collaborate with data engineers and scientists to improve platform architecture, governance, and developer experience, with a hybrid work setup in France.