Lucis analyse les biomarqueurs sanguins et fournit des recommandations personnalisées via une application. La plateforme aide les utilisateurs à comprendre leur santé et à agir de façon préventive.
Core platform growth engineering
Am I a fit — voir ma compatibilitéLucis recherche à Paris un ingénieur logiciel pour construire sa plateforme de santé préventive, avec un périmètre pouvant couvrir le backend, le frontend, l’infrastructure, l’IA ou le full-stack. Le poste porte notamment sur les systèmes d’abonnement et de paiement ou sur l’expérience d’engagement, dans un environnement TypeScript, Next.js, NestJS, PostgreSQL et AWS. L’équipe travaille depuis son hub parisien et propose un accompagnement à la relocation pour les profils concernés.
Repères sur Lucis
- Secteur
- Santé, pharmacie et biotech
- Modèle
- B2C
- Type d’entreprise
- Financée par du capital-risque
- Stade
- Startup early-stage
- Siège
- Paris
- Domaine officiel
- lucis.life
- Effectif public
- 20 employés
- Financement total publié
- 28 M$Source ↗
- Dernière levée
- Série A · 2026-05-01
- Montant annoncé
- 20 000 000 $
- Offres ouvertes
- 11
Investisseurs mentionnés
Détails de l’offre
La description complète publiée par Lucis.
Description de l’offre
Making preventive health the default for every human in Europe The mission At Lucis https://lucis.life/?utm_source=career_job_desc&utm_medium=content, we believe healthcare should be preventive, not reactive. We’re building the OS for human longevity to help people add more healthy years to their lives. You can read more about who we are and how we work here https://lucis.life/careers?utm_source=career_job_desc&utm_medium=content.
The role
We've processed 200,000+ clinical tests across 4 countries with a team of 20. We're growing 10% week over week. And we're still early. We need engineers who build systems, not features, people who own outcomes end-to-end, orchestrate AI to execute, and raise the bar for everyone around them. You won't spend your days writing boilerplate. You'll write specs that agents execute, review AI-generated code with a critical eye, and make decisions that compound over time. This is what engineering looks like now. If that excites you, keep reading.
We'll shape the exact scope together, mobile, infra, platform, AI, full-stack, based on where you're strongest and where we need it most. What we are looking for: - Backend: Membership & payments. A confirmed backend engineer (5+ years) who thrives on designing really reliable data models and services, without over-engineering them. You reach for the simplest model that holds. You'll own the systems membership growth runs on: subscriptions and their lifecycle, checkout and payments, promotions and partner offers.
We're scaling across the EU, with the complexity that comes with it: new countries, currencies, payment methods, and regulations. This is code where a subtle bug costs real money and real trust. You care that the model is right before the endpoint exists, and that every edge case fails safely. - Frontend: Engagement & world-class experience. A confirmed frontend engineer (5+ years) with very good craft and a real sensibility for design. You like things crystal clear for the user, you build neat interfaces, and you don't wait for designs to be ready to propose something delightful.
You'll own what a first-time visitor meets and what keeps members coming back: the acquisition funnel, onboarding, checkout, the everyday surfaces of the product. Your work has to be delightful and reliable for people who have never heard of us and decide in minutes whether to trust us with their health.
About you
- You’re passionate about the future of human health and want your work to help people stay healthy for longer.
- You move quickly from idea to execution, take full ownership of what you build, and work best with talented people who care as much as you do.
- You thrive in fast‑moving environments, learn by doing, and value feedback as a way to continuously improve.
- You use AI the way others use a calculator: naturally, to go faster and think bigger.
- You’ll fit in well if - You've shipped at least one product from 0
- 1 and felt the difference between writing code and building a system - You have 2 deep areas of expertise and can operate across the full stack when the situation demands it - You write specs before you write code — precise enough that an AI agent executes correctly on the first pass - You review AI-generated code with the same rigor you'd apply to a junior engineer's PR: edge cases, security gaps, design smell - You bias toward shipping. A good decision today beats a perfect one next week - You're genuinely interested in health — maybe you track your own biomarkers, or you're just frustrated that healthcare is still reactive We would not be a fit if - You need a clearly scoped role before you can operate - You measure output in lines of code written - You've only worked in large orgs with dedicated infra, QA, and platform teams - You optimize for stability over velocity Our current stack TypeScript monorepo
- Next.js
- NestJS
- PostgreSQL + Prisma
- AWS (Terraform, Qovery)
- GitHub Actions
- Claude Code + Cursor
The process
Intro call (20 min): culture & role fit.
- Technical interview (30 min)
- At-home case study: hands-on project, delivery in 2 days.
- Deep dive (90 min) and team chat (on-site)
- Reference calls HOW WE WORK We work together from our Paris hub. We’re passionate about what we’re building and believe the fastest way to create something exceptional is side by side. We’re open to relocation support for the right individuals, and we welcome missionaries who travel to work with us in Paris on a regular basis.
- Rigor without ego: Audits, science, and code all deserve the same high bar.
- Radical ownership: Feedback loops are short; everyone contributes to building the best version of Lucis.
- Velocity over perfection: We ship daily and prefer a good decision today over a perfect one next week. At Lucis, AI isn't just our product, it's our engine. 100% of our teams are equipped with the best AI agents. You have carte blanche to explore and automate everything that can be, so you can focus exclusively on high-value work.
Prérequis
- product shipped from 0→1
- 2 deep areas of expertise
- full-stack capability
- specification writing
- AI-generated code review
Avantages mentionnés
- relocation support
Lieu de travail
Adresse confirmée
L’offre publie directement cette adresse.