Staff DataOps Engineer (x/f/m)

Doctolib

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.

Doctolib

WHAT YOU'LL DO We are looking for a Staff Mobile Engineer with strong expertise in React Native to join our Patient domain at Doctolib. As a Mobile Staff Engineer, your mission will be to work on transforming the Doctolib mobile app into a full health companion powered by AI to help people lead healthier lives. You will play a key role in improving the quality, UX, and depth of our mobile application while contributing significantly to the technical foundations of mobile development for the team. 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: * Establish and evolve mobile architecture patterns and technical standards for the patient domain * Drive technical excellence across mobile development, ensuring high code quality and best practices * Contribute to the technical roadmap and guide architectural decisions for the mobile platform * Mentor and support mobile engineers in implementing robust, scalable solutions * Lead by example in building features that enhance the user experience and app performance   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 mobile applications are built with React Native. The rest of our stack is composed of Rails, TypeScript, Java, Python and Kotlin. * 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 at least 5+ years of software engineering experience building high-usage mobile applications, ideally in B2C environments * You have deep expertise in React Native and mobile development best practices * You have a track record of establishing technical standards and improving code quality at scale * Are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints. * You demonstrate strong technical leadership and the ability to guide teams through complex technical challenges * You are fluent in English Now it would be fantastic if you: * Have experience working in healthcare or other regulated industries * Have contributed to open-source mobile projects or mobile developer communities * Have experience with native iOS or Android development alongside React Native   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 abroad for up to 10 days per year thanks to our flexibility days policy * Work Council subsidy to refund part of sport club membership or creative class * Up to 14 days of RTT * Lunch voucher with Swile card   JOB DETAILS * Permanent position * Full-time * Paris, France * Start date: as soon as possible * Working mode: hybrid   THE INTERVIEW PROCESS * Recruiter Interview * Mobile Pair Programming * Mobile App Design * Behavioral Interview * At least one reference check * Offer! 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! All information provided is processed by Doctolib for application management. For data processing details, click here.  Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Qonto

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Staff AI Product Manager to enhance Qonto's customer experience through innovative solutions. You'll drive the maturity and scalability of our ML/AI capabilities, addressing concrete business problems while fostering innovation. You will work closely with Daniele Garbarino, our VP Data, to support AI products developments that significantly impact our 600,000+ customers' financial management experience. ➡️ What you'll do Own the AI product roadmap end-to-end: Define what we build, why, and in what order — gathering insights from engineering, data science, and business teams to develop a prioritized strategy that addresses real customer needs. Drive key AI product initiatives: Lead the definition and design of AI solutions for products like Attachment Matcher, Transaction Categorizer, and Cashflow Management — from discovery through delivery. Collaborate across the full stack: Work with data scientists, engineers, and business stakeholders to ensure successful implementation of LLM/AI capabilities that drive measurable business value. Own your decisions and communicate them clearly: Articulate the rationale behind priorities and engage key stakeholders — including customers, product, and executive teams. Continuously improve through data: Monitor and analyze the performance of models and products, making data-driven recommendations to raise the bar. ➡️ What we're looking for Product management experience with a LLM/AI focus: You have proven experience in product management, with concrete examples of ML or AI products you took from 0 to 1 or significantly scaled. You think in outcomes, not features. Technical fluency in ML: You have a solid grasp of machine learning concepts and applications, allowing you to collaborate effectively with technical teams and translate complex ideas into product requirements. Strong stakeholder management: You excel at building relationships with diverse stakeholders and communicating complex technical concepts to non-technical audiences. Analytical thinking: You make data-driven decisions that balance customer needs with business objectives — and you're comfortable with hard trade-offs. Strategic vision: You can develop a compelling product vision and roadmap that aligns with company goals and delivers measurable impact. ➡️ What we can offer you A domain being reshaped by AI: ML is transforming financial services — from expense categorization to cashflow forecasting. You'll build products at the frontier of what's possible, not maintain existing ones. Squad autonomy as the default: You own your roadmap and ship without red tape. No approval chains, no waiting on committees. Real impact at scale: Your work will directly affect how 600,000+ SMEs manage their finances every day. Cross-functional collaboration: You'll sit at the intersection of product, data science, and engineering — with a team that values craft and moves fast.   ➡️ About your future manager You'll report to Daniele, VP Data, who brings deep expertise in scaling data organizations at high-growth companies. Daniele is passionate about building data-driven cultures and has a track record of developing analytics leaders. He'll provide you with the strategic context and support needed to establish AI Product as a key strategic function at Qonto, while giving you the autonomy to shape our product vision.