Senior DevOps Engineer - Data Platform (x/f/m)

Doctolib; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading healthcare tech company is seeking a Senior DevOps Engineer to improve and maintain their Data Platform. The role involves automating data product management and ensuring reliable performance. Candidates should have over 5 years in DataOps, expertise in tools like Kubernetes and GCP, and problem-solving skills. This full-time, permanent position is based in Paris, offering comprehensive health benefits and a flexible working environment.

Prestations

Comprehensive health insurance

Parent Care Program

Mental health services

Flexibility days policy

RTT days

Sport club subsidy

Lunch vouchers

Qualifications

• Minimum of 5 years experience as a DataOps Engineer with proven track record.
• Strong proficiency in relevant data engineering tools.
• Familiarity with cloud infrastructures and services.

Responsabilités

• Maintain Data Product Controller for automated management.
• Monitor data platform for performance and troubleshoot.
• Provide observability components for data product consumers.

Connaissances

DataOps Engineering

Kubernetes

Python

Terraform

Problem-solving

Outils

Google Cloud Platform

ArgoCD

Crossplane

Datadog

Git

Dagster

Description du poste

Overview

We are looking for a Senior DevOps Engineer - Data Platform to join the Data and AI Platform team.

As a Senior DevOps Engineer focus on our Data Platform, 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 organization and enabling data-driven decision-making.

Responsibilities

• Maintain 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, governed and with full ownership
• Maintain Data and AI Platform orchestrator (Dagster) to give the possibility to Data Product developers to orchestrate their Data Product in a decentralized way (Data Mesh), by owning their release process and job pipelines.
• Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure availability
• Offer observability components to enable developer teams and data product consumers to have the right level of knowledge of costs, data quality and data lineage
• Monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

About our tech environment

• GCP (BigQuery, Google Cloud Storage, Pub/Sub, Cloud Run, IAM, Monitoring)
• Container & Orchestration: Google Kubernetes Engine, ArgoCD for GitOps
• Iac: Terraform/Crossplane
• Monitoring: Datadog
• Versioning/Continuous Integration: Git
• Data Orchestrator: Dagster
• We leverage AI ethically across our products to empower teams. Discover our AI vision here and learn about our first AI hackathon here!

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 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
• You have strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane)
• You have expertise in programming languages like Python
• You are familiar with cloud infrastructure and services, preferably GCP, and have experience with infrastructure-as-code tools such as Terraform
• You have excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Now it would be fantastic if you:

• Have knowledge of data governance principles and best practices for data security
• Have experience with continuous integration and continuous delivery (CI/CD) pipelines for data

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
• 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

The interview process

• Recruiter Interview
• Case Study Interview
• System Design Interview
• Behavioral Interview
• At least one reference check

Job details

• Permanent position
• Full-time
• Paris, France
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

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