
SFEIR · Paris
En quête d’un collectif pionnier, en mode Test & Learn permanent, qui donne réellement les moyens de vos ambitions ? Ne cherche plus ! Chez SFEIR, aucune évolut...
En quête d’un collectif pionnier, en mode Test & Learn permanent, qui donne réellement les moyens de vos ambitions ? Ne cherche plus ! Chez SFEIR, aucune évolution n’est imposée : tu pilotes ton propre parcours — qu'il soit vertical, horizontal ou transverse
💻 Ton Terrain de Jeu
Stack : Python, FastAPI, Docker, Kubernetes, TDD
SFEIR AI : Un parcours dédié pour maîtriser l'IA générative et le coding agentique
Communauté : 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts
🚀 Tes missions
Concevoir et développer des APIs robustes, performantes et évolutives en Python / FastAPI
Garantir l'excellence du code par l'écriture de tests unitaires / d'intégration, le TDD et la participation active aux revues de code
Architecturer des services Cloud-Native (principalement GCP) en utilisant des approches Serverless ou conteneurisées (Kuberntes, Docker)
Contribuer à l'industrialisation de nos produits en élaborant la stratégie CI/CD et les pratiques DevOps (GitHub Actions)
Intégrer des solutions d'IA/GenAI pour transformer des processus métier complexes
Assurer le Run des applications en production (observabilité, monitoring, optimisation des performances).
🎯 Ton profil
Tu as au moins 4 ans d’expérience en développement Python
Maitrise confirmée de FastAPI et de l’architecture des APIs REST
Expertise en environnement Cloud (GCP/AWS) et pratique des architectures Serverless
Forte sensibilité et application des bonnes pratiques de code (TDD, revues de code, Clean code)
Curiosité pour l'IA Générative et les nouvelles technologies
💙 Pourquoi rejoindre SFEIR ?
Chaque Sfeirian est accompagné(e) par un Engineering Manager
Evolution vers des rôles de Staff Engineer, Principal Engineer ou Engineering Manager
Formation continue avec accès à Google Cloud Skills Boost et certifications
Participation aux évènements Google Cloud
Communauté active avec plus de 50 événements annuels
🛠 Ton Pack Sfeirian
Équipement au choix : MacBook Pro ou Dell Precision
Prime Vacances : 10% de la valeur des congés pris
Prime de participation
Télétravail : mode hybride
5 semaines de congés + 8 à 12 RTT/an
Carte ticket restaurant (11€/jour)
Mutuelle et prévoyance
Abonnement navigo ou remboursement de 70% pour un vélo électrique
CSE : participation sports / culture / loisirs, chèques-cadeaux, activités (ski, golf, futsal, ...)
Teamstarter : SFEIR verse 10€ par mois sur ta cagnotte personnelle pour financer des projets associatifs ou solidaires
YOUR IMPACT We are looking for a Staff DataOps Engineer to join the Data and AI Platform team. Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization. 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 Your responsibilities include but are not limited to: * Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization * Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems * Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability * Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance * Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization 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. You'll be a great fit if you: * You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms * You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices * You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery * You are highly skilled in programming with Python, and have a solid understanding of software development principles * You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences It would be fantastic if you: * Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data * Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information * Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment * Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation 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. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Case Study * System Design Interview * Behavioral interview with Hiring Manager * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt * Full-time * Paris * 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 All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
OPENING FROM KRAKEN TECHNOLOGIES FRANCE 🇫🇷 - ALL LOCATIONS Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone. It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. Kraken Customer What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry. Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. Our mission is to provide cheaper, greener energy to the French market. Octopus Energy France is a fast-growing energy company recognized as an ESS (social economy). **We offer a better experience to our customers through transparency, honesty and simplicity. We want to do better for the planet, through real, long-term investment in renewable energy production and a low-CO2 future that's better for our customers' wallets. We want to revolutionize the energy business through our people, our platform and our use of data. Our focus is on customer satisfaction, and receiving positive reviews is important to us - we have the best score among French energy suppliers on Google Reviews and Trust Pilot. Kraken technologies Kraken Technologies is a company within Octopus Energy Group who are licensing the Kraken platform and operating model to clients across the world. Current clients are both the Octopus Energy retails businesses around the world as well as external clients such as Good Energy, Origin, EDF, E.ON & Queensland Energy - with many more expected to join over the next few years! Our team All technology is written and maintained by a multi-discipline engineering team of around 450 people globally. This includes server-side, client-side and mobile engineers working closely with UX experts, copywriters and designers. We follow a Kanban-like approach, using Google docs and Asana to specify and manage work; Github, CircleCI and Terraform Enterprise as part of an immutable-infrastructure, continuous delivery pipeline; and Loggly, Sentry and Cloudwatch to measure performance and monitor production. Some of our coding conventions are open-source. Octopus is a great place to learn, work with some talented engineers and level-up your skills. Our technology On the server-side, we mainly use Python. Most of our websites are powered by Django and the Django-REST-framework. We also use Pandas, Numpy and Jupyter for analysis and forecasting, plus Celery, RabbitMQ, SQS and Airflow for background processing. We use AWS heavily, employing most of the "Hashistack" (eg Packer, Consul, Terraform) as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery. Client-side, we use React, Redux and SASS; our mobile apps are built using native code or React Native.
YOUR IMPACT We are looking for a Staff Software Engineer to join the Patient domain. Your mission will be to transform the Doctolib app into a full health companion powered by AI, helping patients manage their health with accuracy, empathy, and safety. You will work in a feature team developing an AI-powered chat built to answer patients' questions about their or their loved ones' health. 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 Your responsibilities include but are not limited to: * Design, ship, and operate production-grade agentic systems that answer key health challenges for patients * Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics * Validate hypotheses quickly with offline evaluation datasets and A/B tests on real traffic * Develop and maintain core agentic capabilities including memory, reasoning orchestration, and tool adapters, 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 * Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems 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. You'll be a great fit if you: * Have 6+ years of experience as a software engineer, with at least one significant experience using Python * Have gone through the full lifecycle of an AI product at scale, 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 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 the ability to adapt to the most efficient technologies to solve issues * Have experience with agentic systems in production * Have experience in the medical domain 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. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. 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 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 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 * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: Python * Full-time * Location: Paris, 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 All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.