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# Application Architect - Full-Stack Spring, React, K8s

- **Company:** Auxilius
- **Location:** München, Germany
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Applications Architecture, Automation of Tests, Microsoft Azure, Software Quality, Continuous Integration, Software Design Patterns, DevOps, IntelliJ IDEA, Java Persistence API, Spring Framework, Model View Controller (MVC), Software Deployment, Pulumi, ReactJS, Claude Code, Spring-boot, AngularJS, Solid Principles, Kubernetes, Domain Driven Design, Domain Model
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=38dbd818fb71fff6

## About the Role

Absolute must-haves:

 * experience with Arc42 framework (ISAQB) and C4
 * experience leading and enabling development teams
 * deep Java SpringBoot (MVC, JPA, Security) experience
 * solid knowledge of Design Patterns and Domain Driven Design
 * excellent code quality based on Clean Code & SOLID principles
 * deep experience with TDD & BDD
 * full stack web dev experience (React, Angular)

Strong candidates will also bring...

 * Azure or AWS infrastructure-as-code with Pulumi
 * A strong DevOps mindset (the DevOps Handbook is your bible) and experience building:
 * reliable CI/CD pipelines and release processes
 * production-grade monitoring/observability and incident response practices
 * continuous improvement loops (post-incident reviews, operational learning, and prioritizing reliability work)
 * Claude Code (or comparable AI-assisted development workflows)
 * IntelliJ power-user

## Description

As an Application Architect (m/f/d), you will be one of the first full-time senior engineers and collaborate closely with our Co-Founder and CTO. You will own the backend architecture and help the team scale quality and delivery speed.

In the first 6-12 months you will have:

 * established a clear target architecture and documentation baseline using Arc42
 * clarified and communicated the core domain model using DDD principles
 * introduced/standardized an AI-driven development process, from feature specs to production deployment
 * strengthened engineering practices via coaching, pairing, and feedback loops (especially for junior developers)
 * improved reliability and delivery through better CI/CD, test automation, and infrastructure hygiene

Responsibilities

 * Collaborate with the team to find strong solutions to new types of problems in an AI-first architecture
 * Drive 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
 * Coach and collaborate with junior developers on good development, design and architecture practices
 * Collaborate with the team to develop an AI-driven development process from feature specs down to production deployment