Jobs at Doctolib

Develop and experiment with machine learning models for healthcare challenges, collaborate with ML engineers and researchers on applied research, explore model architectures and data-processing techniques, and contribute to ethical AI solutions improving care pathways and healthcare experiences.

Lead platform reliability and scalability initiatives across infrastructure, observability, and incident management. Define SLOs, error budgets, alerting standards, and operational practices across product teams. Participate in on-call rotations, improve incident response, mentor engineers, guide architecture decisions, and embed reliability practices into software development. The role requires extensive SRE or infrastructure experience, cloud and Kubernetes expertise, backend programming skills, and strong technical leadership.

Lead platform reliability across infrastructure, observability, and cross-cutting initiatives. Build infrastructure automation and infrastructure-as-code, improve incident response and postmortems, define SLOs and error budgets, participate in on-call rotations, and partner with engineering teams to deliver scalable, resilient systems. The role requires large-scale production SRE experience, cloud platforms, Kubernetes, Terraform, GitOps, programming or scripting, and incident leadership.

Support multi-channel CRM and lifecycle marketing campaigns for patients across email, push notifications, and other direct channels. Assist with campaign planning, content creation, segmentation, automation, A/B testing, performance reporting, documentation, and privacy compliance. The intern will help improve engagement, activation, and retention while collaborating with local and international marketing teams.

Build and improve full-stack features for Doctolib’s healthcare platform using React and JVM technologies. Collaborate with product managers, designers, and engineers to design secure, performant, reliable, and maintainable solutions. Contribute to architecture and technical standards, promote testing and code quality, use AI-assisted development workflows, and share expertise through cross-team collaboration and pair programming.

Audits and redesigns end-to-end localization operations across multiple markets, covering content governance, engineering delivery, machine translation, AI-assisted workflows, vendor strategy, and linguistic quality. The manager partners with engineering, design, product, medical, and go-to-market teams to implement scalable processes and tooling, improve quality, speed, and cost, and deliver a durable localization operating model during a nine-month engagement.

Audits and redesigns end-to-end localization operations across multiple markets, covering content ownership, translation workflows, engineering delivery, linguistic QA, AI and machine translation tooling, governance, vendors, and human review. Partners with engineering, design, product, medical, and go-to-market teams to implement improved processes and toolsets, delivering a durable localization operating model within a nine-month engagement.

Design and deliver scalable platform components, Python and Java/Kotlin chassis, reusable services, cross-cutting capabilities, and Claude Plugins. Lead technical vision, roadmap delivery, performance improvements, testing, monitoring, security, and platform usability. Collaborate with product, design, business, and engineering teams in an agile feature-team environment.

Own Doctolib’s self-hosted LLM serving platform, deploying and scaling open-weight models across GPU infrastructure. Responsibilities include serving-stack design, model registry and promotion, inference optimization, benchmarking, reliability, autoscaling, disaster recovery, observability, cost reporting, and security compliance. The role requires production experience with LLM serving engines, GPU workloads, Kubernetes or Ray, performance engineering, and on-call operations.

Build and operate Doctolib’s foundational AI agent platform, including declarative agent registration, GenAI gateway routing, long-running agent execution, progressive rollouts, reliability, observability, evaluation, and compliance controls. The role owns production infrastructure serving healthcare applications, supports secure autonomous systems handling sensitive data, and advises feature teams on agent architecture. Responsibilities include on-call leadership, incident response, provider failover, reference-agent development, and platform integrations across Kubernetes, cloud providers, model services, and agent protocols.

Supports B2C SEO and AI search initiatives for patient-focused content in Germany. Responsibilities include maintaining and editing WordPress content, conducting keyword and competitor research, monitoring SEO performance with analytics tools, optimizing copy, exploring generative AI applications, and collaborating with marketing and content teams. The role is part-time, hybrid in Berlin, and designed for a marketing, communications, journalism, or related student.

Six-month full-time software engineering internship building and shipping full-stack healthcare features. The intern will collaborate with engineers, product managers, and designers; write tested, secure, scalable code; contribute to design, development, peer review, and deployment; and explore AI and distributed systems. The role requires a final-year software-related student who is fluent in English and comfortable coding across multiple languages. Web development, side projects, open-source contributions, and AI-assisted coding experience are preferred.

Build, test, and ship full-stack healthcare product features alongside engineers, product managers, and designers. The intern will write clean code, solve technical problems, contribute to scalable and secure tools, explore AI and distributed systems, and participate in peer review and knowledge sharing. This is a six-month, full-time internship beginning in March 2027, with a hybrid setup in Amsterdam.

Develop and ship full-stack features for a cloud-native healthcare platform used by care teams and patients across Europe. Responsibilities include coding, testing, peer review, collaborating with engineers, product managers, and designers, solving technical challenges, and exploring AI and distributed systems. The six-month internship includes mentorship, technical training, and participation in a collaborative feature team.

Six-month full-time software engineering internship building and shipping full-stack healthcare features. The intern will collaborate with engineers, product managers, and designers; write tested, secure, scalable code; solve technical problems; explore AI and distributed systems; and contribute to peer reviews, knowledge sharing, and product development.

Build and own full-stack software features for healthcare products, collaborating with engineers, product managers, and designers. Responsibilities include designing, developing, testing, peer reviewing, and shipping scalable, secure, user-friendly tools. The intern will solve problems affecting patients and care teams, explore AI and distributed systems, and contribute to a collaborative learning culture.

Six-month full-time software engineering internship building and shipping full-stack healthcare features. Responsibilities include coding, testing, peer review, collaborating with engineering, product, and design teams, solving technical challenges, and exploring AI and distributed systems. The intern will work with experienced engineers on scalable, secure, user-focused products that support healthcare professionals and patients across Europe.

Lead Doctolib’s AI Developer Experience team and existing CI/DevEx scope. Build agent-native testing, feedback, evaluation, security controls, CI/CD, developer productivity measurement, and inner-loop tooling. Recruit and develop the organization while driving adoption across engineering teams in France and Germany. Partner with product, infrastructure, security, quality, and platform leaders to improve software delivery speed, reliability, and control at scale.

Build and scale ML platform infrastructure, deploy production machine learning models, and maintain MLOps pipelines with version control, CI/CD, monitoring, and reliability practices. Develop tools and frameworks that streamline model deployment, collaborate with data scientists and engineers on end-to-end AI solutions, resolve production issues, and document and promote MLOps best practices across the technology organization.

Own Doctolib’s product-led and marketing-led growth funnel across France, Germany, and Italy. Lead freemium offer design, subscription conversion, upsell flows, acquisition packaging, checkout, lead generation, lifecycle marketing, and product-qualified lead routing. Use experimentation and funnel analytics to grow ARR while reducing customer acquisition costs, coordinating cross-functional teams in a regulated healthcare environment.