岗位大厅/Engineering/Platform engineering

Lucis · 277天前 · 来源 雇主官网

Platform engineering

Paris混合办公
全职Engineering
薪资未披露
Seed 种子
团队 11–50 人

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必备技能

AIAPIAWSAgentic AIAgileCDKClaude CodeGdprGitHubGitHub Actions

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职位描述

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 you could own:

- Full-stack vertical ownership: from data model to API to UI, you hold the whole slice and make it production-grade

- Algorithms: translate clinical science (in collaboration with our medical advisors) into reproducible, auditable code

- System architecture: design scalable, HDS-compliant infrastructure on AWS (CDK/Terraform) that can handle 10× the load without rework. Maintaining strict compliance with HDS and GDPR regulations through robust security measures.

- Engineering culture: run rituals, raise the bar, mentor through code review and spec quality

- Driving engineering rituals. Driving continuous improvement through Agile development practices and cross-team collaboration. Ensuring the team stays on top of its game.

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.

🈯 翻译这份 JD · 红灯 0 / 黄灯 0 / 绿灯 0点开 ▾
没扫到常见信号词。这份 JD 直白得不常见——面试里照常确认节奏、汇报线和薪酬范围就好。
没扫到常见信号词——这份 JD 直白得不常见。照常确认节奏、汇报线和薪酬范围。
词典只标"常见信号",不对公司下结论——红灯 = 面试里该当面确认的问题。想自己翻别的 JD:JD 翻译器 →
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公司 · Company

Lucis

Lucis is a Paris-based preventive healthcare startup offering AI-supported health check-ups conducted in certified laboratories and interpreted by a medical tea

Paris团队 11–50 人Seed 种子来源:雇主官网

⚑ 岗位信息收录自公开招聘页(雇主官网),以雇主官网为准