Python Jobs in Nantes.
All active Python roles based in Nantes.
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Join a team of passionate and hardworking entrepreneurs to transform healthcare!
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 engineering, design, and business teams.
Doctolib is looking for a Senior Site Reliability Engineer to keep Doctolib production database systems running smoothly. You will also be a key-player to support the exponential growth of Doctolib services.
What you will do
You will join a team of developers, DBA and SRE responsible for:
- Improving and protecting the health of our datastores,
- Empowering the whole tech teams to use our datastores in the most efficient way,
- Collaborating everyday with our Database Architects, Principal Engineers and Site Reliability Engineers from other teams.
As a Senior Site Reliability Engineer in our Doctolib Database Optimization team, you will play a critical role in ensuring the reliability, availability, and performance of our databases. You will:
Design, build and maintain core infrastructure databases that allow Doctolib scaling to support hundreds of thousands of concurrent users.
- Automate deployment, scaling, and maintenance of databases to enhance system reliability and operational efficiency,
- Implement and improve monitoring, alerting, and incident response processes to identify and address potential issues before they impact both practitioners and patients,
- Provide documentation and tooling to empower the feature teams in their use of their databases, while ensuring their reliability,
- Mitigate production database issues during working hours when the issue cannot be fixed by the responsible feature team,
- Research and evaluate new technologies, tools, and best practices to continuously improve the reliability and availability of our systems and processes.
Who you are
Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!
- Have a strong hands-on experience (6y+) on a production platform, if possible at scale,
- Have proven experience with cloud platforms such as AWS, Azure or Google Cloud,
- Have proven experience with datastores such as PostgreSQL and/or Kafka and/or Couchbase,
- Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes),
- Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and understanding of infrastructure as code principles,
- Are fluent in English.
Now, it would be fantastic if you:
- Have an experience with monitoring and observability tools,
- Like troubleshooting performance issues in complex environments.
What we offer
- Free Health Insurance for you
- Up to 14 days of RTT
- A flexible workplace policy offering both hybrid and office-based modes
- Flexibility days allowing to work in EU countries and the UK 10 days per year
- Wellbeing program with free mental health and coaching through moka.care
- Special support package for caregivers and workers with disabilities
- Lunch voucher with Swile card
- Work Council subsidy for sport club membership or creative activities
- Bicycle subsidy
- Public transportation reimbursement
- Relocation support for international mobility
The interview process
- Recruiter Interview
- DBRE technical interview
- System Design Interview
- Behavioral interview
- Reference Check
- Offer!
Job details
- Contract: Permanent position
- Workplace: Paris
- Start date: As soon as possible
- Remuneration: Competitive salary package according to your profile
Ready to apply?
Apply to Doctolib
Senior Software Engineer - Data Science
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The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
- Build common services and components encapsulating data science capabilities for other products and teams to leverage
- Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
- Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
- Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
- Join an amazing team of data scientists and software engineers building a product that our customers love to use
- Work all over the stack, moving fluidly between programming languages and technologies
Who You Are:
- You have experience working in Python, Java, Scala or Go
- You have experience working with microservices and/or distributed systems
- You value simplicity and getting the right things done
- (Senior Level) You have built high-volume data pipelines
- (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
- Opportunity to attend and present at conferences and meetups
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-ER1
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Join a team of passionate and hardworking entrepreneurs to transform healthcare!
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 engineering, design, and business teams.
Doctolib is looking for a Senior Site Reliability Engineer to keep Doctolib production database systems running smoothly. You will also be a key-player to support the exponential growth of Doctolib services.
What you will do
You will join a team of developers, DBA and SRE responsible for:
- Improving and protecting the health of our datastores,
- Empowering the whole tech teams to use our datastores in the most efficient way,
- Collaborating everyday with our Database Architects, Principal Engineers and Site Reliability Engineers from other teams.
As a Senior Site Reliability Engineer in our Doctolib Database Optimization team, you will play a critical role in ensuring the reliability, availability, and performance of our databases. You will:
Design, build and maintain core infrastructure databases that allow Doctolib scaling to support hundreds of thousands of concurrent users.
- Automate deployment, scaling, and maintenance of databases to enhance system reliability and operational efficiency,
- Implement and improve monitoring, alerting, and incident response processes to identify and address potential issues before they impact both practitioners and patients,
- Provide documentation and tooling to empower the feature teams in their use of their databases, while ensuring their reliability,
- Mitigate production database issues during working hours when the issue cannot be fixed by the responsible feature team,
- Research and evaluate new technologies, tools, and best practices to continuously improve the reliability and availability of our systems and processes.
Who you are
Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!
- Have a strong hands-on experience (6y+) on a production platform, if possible at scale,
- Have proven experience with cloud platforms such as AWS, Azure or Google Cloud,
- Have proven experience with datastores such as PostgreSQL and/or Kafka and/or Couchbase,
- Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes),
- Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and understanding of infrastructure as code principles,
- Are fluent in English.
Now, it would be fantastic if you:
- Have an experience with monitoring and observability tools,
- Like troubleshooting performance issues in complex environments.
What we offer
- Free Health Insurance for you
- Up to 14 days of RTT
- A flexible workplace policy offering both hybrid and office-based modes
- Flexibility days allowing to work in EU countries and the UK 10 days per year
- Wellbeing program with free mental health and coaching through moka.care
- Special support package for caregivers and workers with disabilities
- Lunch voucher with Swile card
- Work Council subsidy for sport club membership or creative activities
- Bicycle subsidy
- Public transportation reimbursement
- Relocation support for international mobility
The interview process
- Recruiter Interview
- SRE Technical interview
- System Design Interview
- Behavioral interview
- Reference Check
- Offer!
Job details
- Contract: Permanent position
- Workplace: Nantes
- Start date: As soon as possible
- Remuneration: Competitive salary package according to your profile
Ready to apply?
Apply to Doctolib
Your Impact
We are looking for a Senior AI Engineer to join the Customer Care Contact team in the Business Performance domain.
Your mission will be to build AI-powered tools that revolutionize how healthcare professionals deliver care. You will work on Doctolib Assistant, our AI personal assistant designed to assist doctors and medical staff in their daily work—from answering complex medical questions to automating administrative tasks with accuracy, reliability, and safety.
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 build
- Design, ship, and operate production-grade agentic systems powering Doctolib Assistant, our AI personal assistant that addresses key challenges for healthcare professionals
- Build and improve AI agents and our orchestration systems
- Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics—while taking ownership of operational AI projects as data science teams focus on exploratory research
- Develop and maintain core agentic capabilities including memory, reasoning orchestration, tool adapters, and multi-agent coordination, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
- Own performance, observability and security: monitoring dashboards, SLO/SLI, and security posture
- Ensure privacy and security by design, with a particular focus on medical data sensitivity
- Contribute to fullstack development when needed to deliver end-to-end features for healthcare professionals
What you'll bring
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.
- Have 4+ years of experience as a software engineer, with hands-on experience in AI/ML systems
- Have 2+ years of experience working with Python
- Have gone through the full lifecycle of an AI product, from initial evaluation and launch to iterations based on results in production
- Understand and promote best practices related to the software development life cycle such as automated testing, good use of CI/CD, and DevOps practices
- Are comfortable with fullstack development and not afraid to dive into React/TypeScript/Kotlin to ship end-to-end features
- Are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
- Are comfortable speaking and writing in English in your day-to-day work with the team
It would be fantastic if you:
- Have experience building multi-agent systems or agent development frameworks
- Have worked on AI products for enterprise/professional users
- Have experience in the medical domain or healthcare tech
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.
What we offer
- Free comprehensive health insurance for you and your children
- Parent Care Program: receive additional 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 abroad 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 vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- 50% reimbursement of your public transport subscription
- Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
- Relocation support in case of international mobility
- Access to the best AI tools for coding, development and dedicated training
Our interview process
- Recruiter Interview
- Coding Interview
- System Design Interview (with focus on AI systems architecture)
- Behavioral Interview
- At least one reference check
Job details
- Permanent position
- Full-time
- Location: Nantes, France
- 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
Ready to apply?
Apply to Doctolib
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