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Doctolib develops health technologies that help professionals manage their work and patients access care and follow their care journey.

Information about Doctolib
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about.doctolib.com
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Job details

The full description published by Doctolib.

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Description de l’offre

We are looking for a Python Senior Software Engineer to join Platform team. As a Senior Software Engineer, your mission will be to work on designing and delivering essential components that empower Doctolib teams to build robust and scalable services. You will be working in a feature team developing the chassis, archetypes, business-agnostic services, cross-cutting concerns and Claude Plugins.

You will be working in a platform feature team developing the Python and Java/Kotlin chassis, project archetypes, business-agnostic services, cross-cutting concerns (resilience, security, observability…) and Claude Plugins, used by more than 60 services across Doctolib. 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:

  • Collaborate with product managers, designers, and other engineers to define and implement features to improve the Doctolib platform
  • Take a leading role within the team and contribute to establishing a technical vision that ensures the performance, security, and usability of the platform, taking into account the future needs and the high scalability needs
  • Bring your expertise and experiences to help us continuously improve the way we implement, test, and monitor high-quality features
  • Improving the performance of key features implemented in Python, sometimes completely challenging the status quo
  • Taking leadership on delivering roadmap items (together with the team)
  • Contributing to establishing a technical vision and co-drive the creation of the roadmap for next quarters

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 https://careers.doctolib.com/ai-careers/!

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 are proactive, curious, collaborative and eager to learn
  • You are primarily a backend engineer with expert knowledge of Python
  • You have a solid understanding of web technologies and software development life cycle
  • You have a “user first” mindset and want to build a product focused on bringing value to its users, through secure, well-tested and pragmatic code
  • You are fluent in English Now it would be fantastic if you
  • have experience with Kafka and Kubernetes
  • have experience with ADK and ML libraries
  • have experience with Java or Kotlin

What we offer

Free comprehensive health insurance for you and your children

  • Parent Care Program: 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 voucher with Swile card

The interview process

Recruiter Interview

  • Feature Building Interview
  • System Design Interview
  • Behavioral Interview
  • At least one reference check

Job details

Permanent position - Full Time - Location: Levallois - Hybrid work setup (up to 2 remote days per week) - 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 https://medium.com/doctolib! 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! All information provided is processed by Doctolib for application management.

For data processing details, click here: Germany https://doctolib.legal/B2C-Privacy-Policy-Career-DE l France https://doctolib.legal/B2C-Privacy-Policy-Career-FR l Italy https://doctolib.legal/B2C-Privacy-Policy-Career-IT l Netherlands https://doctolib.legal/B2C-Privacy-Policy-Career-COM Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Requirements

  • backend engineer
  • expert knowledge of Python
  • solid understanding of web technologies
  • software development life cycle
  • proactive
  • curious
  • collaborative

Benefits mentioned

  • Free comprehensive health insurance for you and your children
  • Parent Care Program
  • Free mental health and coaching services
  • Up to 14 days of RTT
  • Lunch voucher with Swile card

Workplace

Confirmed address

The job posting directly provides this address.

54 Quai Charles Pasqua (https://maps.app.goo.gl/T5ZQh6K17hWDWPia8), 92300 Levallois-Perret
Confidence score 5 out of 5
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