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

Responsibilities

• 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 Pulumi

Requirements

Absolute must-haves

• Minimum 3 years of full-time experience
• You are opinionated and passionate about good code design
• Solid, hands-on experience with Claude Code (or comparable AI-assisted development workflows)
• Solid, hands-on experience with Java and Spring Boot
• Solid, hands-on experience with TypeScript and React
• SOLID principles & clean code
• Design patterns

Nice to haves

• Experience with TDD and/or BDD
• Working knowledge of Kubernetes and cloud-native application development
• Azure or AWS infrastructure-as-code (e.g. Pulumi, Terraform, Bicep)
• C4 modelling & Arc42 framework
• Experience with Domain Driven Design (DDD)
• Reliable CI/CD pipelines and release processes
• Continuous improvement loops (post-incident reviews, operational learning, and prioritizing reliability work)

Benefits

• Hands-on ownership of a real AI product used by enterprise customers
• Work directly alongside the founding team from day one
• Hybrid work model: Munich North, minimum one day per week in the office, otherwise flexible (open to strong candidates elsewhere in the EU for the right fit); onboarding will take place in-office
• A steep learning curve at the intersection of LLM engineering, enterprise GRC, and startup operations
• The chance to shape the AI team as we grow
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