Senior DataOps Engineer

Senior DataOps Engineer at Doctolib
We are looking for a Senior
DataOps Engineer
to join the
data
team.

As a
Senior
DataOps Engineer
, your mission will be to design, implement, and manage our data infrastructure, ensuring seamless data flow across the organization and enabling data-driven decision-making. You will be working in a feature team developing solutions that improve the daily lives of care teams and patients.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

• Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
• Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
• Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
• Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
• Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

About Our Tech Environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• 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 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 7 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, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
• You have expertise in programming languages like Python
• You are familiar with cloud infrastructure and services, preferably AWS, Azure, or 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 experience building APIs and understanding API design and best practices with frameworks such as FastAPI
• 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
• 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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