Full-Stack Software Engineer - AI Native Startup (m/f/d)

You'll join an early-stage, AI-native startup with a product that has already proven market fit.

We build cutting-edge AI solutions for Governance, Risk and Compliance (GRC) for enterprises around the world.

Our customers are auditors, risk managers, and compliance teams, which means evaluation rigor, auditability, and EU AI Act readiness aren't afterthoughts for us.

They're product.

Requisitos

Tasks As a Full-Stack Engineer (m/f/d), you'll be one of the early full-time engineers, working closely with our senior engineers, Co-Founders and CTO.

You'll ship features across the stack — from Spring Boot services to React frontends — and grow into broader ownership as the team and product scale.

In the first 6–12 months you will have: Shipped meaningful features end to end, from backend APIs to the user-facing React interface Clarified and communicated the core domain model using DDD principles Introduced/standardized an AI-driven development process, from feature specs to production deployment Contributed to a healthy test suite and a reliable CI/CD pipeline Deployed and operated services on Kubernetes, learning our cloud-native infrastructure hands-on.

Responsabilidades

Collaborate with the team to find strong solutions to new types of problems in an AI-first architecture Embrace a DevOps-style approach across the full specification → development → delivery lifecycle (inspired by the DevOps Handbook) Propose and implement approaches to make delivery faster and more reliable (e.g., improving flow, feedback loops, and recovery) Implement and evolve monitoring/observability across systems (metrics, logs, traces, alerting) so we can detect issues early and learn from production Collaborate with the team to develop an AI-driven development process from feature specs down to production deployment Plan & document backend architecture in the Arc42 framework Extend & communicate the domain model using DDD principles Manage and extend application infrastructure on Azure with ...