Fullstack Software Engineer (x/f/m) - Data Retention & Privacy
Alan
| Company | Alan |
| Category | Engineering |
| Location | Europe |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought.
Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path.
🛠️ THE STACK
Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it.
🤖 THE DATA FOUNDATIONS CREW - WITHIN THE TECH FOUNDATIONS AREA
🎯 MISSION
- Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless.
- Data Foundations - is one of its crews. Its mission: be the enabling and platform team for data lifecycle and privacy engineering across Alan: retention, deletion, anonymization, and pseudonymization, by design. It builds and runs the GDPR Orchestrator (the platform's current embodiment) and equips each area to own its own data rules on top of it. The team also handles data shared with third parties and partners, with Legal and Security on requirements, including authority-facing work (e.g. CNIL).
🔭 SCOPE
1. Own and evolve the privacy platform (build & run): its core engine, its safety mechanisms (preview/dry-run, audit trail), and its operational health (deploys, on-call, observability). You design the contract areas build on and keep it reliable as adoption grows.
2. Build the paved road (enable, teach to fish): docs, templates, and self-serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them.
3. Coordinate across areas (the cross-area bridge): align legal, security, data, and the data-producing areas on requirements, surface cross-area data dependencies, and resolve design trade-offs between them. You own the coordination; each area stays accountable for i
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