Why this role?

We're building a SaaS platform that helps companies make sense of complex regulatory requirements, using AI for document analysis and regulatory search.

This isn't a "close tickets in one framework" job. You'll own product features from idea to production: designing the backend logic, shipping it, deploying it, and making sure it runs well for customers around the world. If you care about how things work in real life, not just in code review, you'll feel at home here.

Tech stack

Java 21 Spring Boot 3 PostgreSQL Docker GitHub Actions Azure OpenAI API React 18 TypeScript JUnit 5

What we offer

Real ownership of a product that's growing internationally
Work on AI features that solve actual business problems, not demos
A small team where your ideas turn into decisions quickly
Modern stack and AI-assisted development as standard
[Benefits: equipment, flexible hours, holidays, learning budget, etc.]

Must-haves

3–4+ years of hands-on backend development in production systems
Solid experience with Java and Spring Boot (our main backend stack). Strong engineers coming from similar backend ecosystems are welcome to apply.
Good knowledge of relational databases, preferably PostgreSQL
Understanding of authentication and authorization (OAuth2, JWT)
Practical experience with Docker, Git, CI/CD and Linux
A "you build it, you ship it" mindset, with interest in deployment, reliability and production
Comfortable using AI coding tools (Claude Code, GitHub Copilot, etc.) and able to critically review AI-generated code
Good English for daily communication

Nice-to-haves

Azure experience (App Service, Blob Storage, Container Registry)
Integrating LLM APIs (OpenAI, Anthropic) into real products
Observability tools (Application Insights, OpenTelemetry)
Multi-tenant SaaS experience
Security awareness (OWASP best practices)
Some React / TypeScript experience
Hibernate / JPA

17 openings across locations