ArchUnit Experts in Germany
to enforce clean Java architecture with fast, precise matchingHire experts who define executable architecture rules, integrate ArchUnit with JUnit, and protect layered or hexagonal designs during continuous delivery. Get matched quickly with vetted, available freelancers who fit your technical requirements.
Meet FRATCH Experts in Germany, who have recently used ArchUnit
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Osman T.
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Wadim L.
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Timo H.
Last position:
Software Developer at Continentale Krankenversicherung AG
- Implementation of a REST-based web service for querying contract, claims, customer, and sales data as part of the Dialogmanager project.
- Data release is done in compliance with CoC requirements and individual user permissions from IAM (Identity and Access Management).
- Implementation using JBoss EAP 8.1 (JakartaEE 10) and Java 21 as well as JAX-RS, CDI, Microprofile-Config, Microprofile-OpenAPI.
Fady K.
Last position:
Senior Software Developer / Tech Lead at Specific Objects Technologies GmbH
- Project 1: Multi-Tenant SaaS Platform: Data Integration & Pricing Management
- Objective: New development of ELT pipeline (replacement for Java 6 legacy), integration of heterogeneous source systems (CSV, Excel, Email, external DBs), event-sourcing for complete auditability, multi-tenant architecture for tenant-capable data processing
- Challenge: Processing millions of records daily, audit compliance, data isolation between different tenants
- Solution: Stakeholder workshops for requirements analysis, event-driven architecture with Axon Framework and Apache Kafka, AWS services (EC2, S3, Lambda, SQS, API Gateway) for cloud integration, PostgreSQL with tenant-specific schemas for multi-tenant data isolation, REST API design with Spring Boot for external system integrations, comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit)
- Results: ELT performance improved from 30+ min to 1-5 min; 2-3 hours daily saved through workflow automation; 10-20 hours/week saved through event-sourcing auditability; 100% audit compliance; secure multi-tenant data isolation for 10+ tenants
- Project 2: Multi-tenant CRM System Modernization
- Objective: Migration of CRM system (20+ years PHP/MySQL) to Java microservices, Domain-Driven Design implementation, establishment of Test-Driven Development, multi-tenant-capable SaaS architecture for multiple customer tenants
- Challenge: Remodeling complex business logic, no existing test culture, scalable tenant management with data isolation
- Solution: Comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit), multi-tenant architecture with tenant-specific databases, REST API design with Spring Boot for cross-tenant integration, Kubernetes and Docker for container orchestration
- Results: 2× performance improvement; deployment time reduced from 40+ min to 5-7 min; migration without production outages; scalable multi-tenant solution for 15+ customer tenants
- Technologies: Java, Spring Boot 3.x, Angular, Apache Kafka, AWS (EC2, S3, Lambda, SQS, API Gateway), PostgreSQL, Axon Framework, Kubernetes, Docker, GitLab CI, REST API
Dimitri S.
Last position:
Fullstack Developer, Integrator at Generali Deutschland Versicherung AG
- Developing automated build and deployment processes for the exclusive front office systems
- Integrating the front office systems into the IT infrastructure
- Developing innovative, user-friendly sales software for financial advisors
- Ensuring quality and flexibility through automation and working with CI/CD
- Working according to DevOps principles
- Operating the software together as a team in the AWS cloud and Azure cloud
- Deploying software artifacts to testing and production environments
- Maintaining the test environments
- Performing error analysis and providing information for further root cause analysis
- Maintaining and supporting the build pipeline
- Supporting load testing
- Coordinating the batch execution schedule with batch automation
- Creating concepts to further develop the software packaging process
- Building and delivering components to partners
- Developing GitLab and Jenkins pipelines for building, deploying and integrating components
- Automating processes with Spring Boot applications with a GUI (Thymeleaf, Angular 19)
- Developing RESTful Spring Boot applications with Kotlin and Angular 19, JDBC and REST accesses, data exchange via SFTP, XML (JAXB)
- Designing components using Domain-Driven Design (DDD)
- Replacing cmd and bash scripts with Spring Boot applications with a GUI
- Replacing Java 8 applications with JSP by Spring Boot 3 applications (Thymeleaf, Angular)
- Implementing frontend and backend authentication via Keycloak
- Writing JUnit tests with Mockito
- Increasing code coverage for SonarQube analysis
Achille C.
Last position:
Backend/Frontend Developer at ITZ-Bund
- Development of a microservice application for calculating account bookings
- Development of backend components with Java / JEE, Quarkus, Kafka, REST API
- Development of the test component with mocking frameworks (Mockito)
- Development of unit tests with JUnit / ArchUnit, integration test components
- Creation of OpenAPI specification format
- Configuration of CI/CD pipeline
- Development of frontend component with React
- Design, further development and optimization of system architectures
- Migration from MySQL to PostgreSQL
- Code reviews
- Java Corretto 21, JEE, Quarkus, Golang
- Reactive programming with Spring WebFlux, Project Reactor, Liquibase, Elasticsearch, Hibernate, HQL, JPA, SQL
- Git, Azure DevOps for CI/CD pipeline, YAML, JSON, Swagger UI, Postman, REST OpenAPI, Kafka Streams, Kafka Connect, Log4J, JUnit / ArchUnit
- Microservices, Jira, Confluence, MySQL, PostgreSQL, Docker, Kubernetes (deployment via Helm charts)
- Spring Security, OAuth 2, JWT, SonarQube
- IntelliJ, Maven, logging framework Splunk, Agile Scrum method, Nexus, Vaadin V24, build tool Vite
- React, React.JS, Node.js, JavaScript, Tailwind CSS, Agile Scrum method, BITV accessibility, Playwright
Discover over 15,000 top freelancers
Statistics of experts using ArchUnit
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
1.2 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Government and Administration, Insurance
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
89%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using ArchUnit
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
ArchUnit experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Government and Administration (89%)
- Insurance (78%)
- Automotive (67%)
- Banking and Finance (56%)
- Transportation (56%)
- Retail (56%)
- Healthcare (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Architecture as Code
ArchUnit is a Java library for testing and enforcing software architecture through executable rules. Teams use it to check package dependencies, layer boundaries, naming conventions and access restrictions as part of their automated test suite. It turns architectural decisions into checks that can run with every build.
Java and JUnit Integration
ArchUnit works closely with JUnit and fits into common Maven and Gradle build pipelines. Specialists create imported Java class models, select relevant packages and express constraints with a fluent API. They also configure classpath handling, test locations and rule reporting so failures are useful to the delivery team.
Common Architecture Rules
- Enforce dependencies between presentation, application and domain layers
- Prevent cycles between Java packages
- Restrict access to internal classes and infrastructure code
- Check naming conventions and annotation usage
- Protect hexagonal, onion and clean architecture boundaries
Rules can target classes, packages, annotations, interfaces, fields and methods. They may describe broad design principles or narrow constraints around a specific module, which makes ArchUnit suitable for both new services and established codebases.
When Expertise Helps
Companies often bring in freelance ArchUnit specialists when a Java system has grown beyond its original structure or when a team is introducing modular boundaries. Expertise is useful during a monolith refactoring, a migration toward domain-driven design, or the rollout of architecture checks across many repositories. In Germany, remote collaboration is common, while some programmes still require on-site workshops with product and platform teams.
Tools and Adjacent Skills
ArchUnit professionals usually work across Java, JUnit, Maven or Gradle, Git and continuous integration systems. They may connect architecture tests with Spring Boot modules, persistence boundaries, REST interfaces and dependency-injection conventions. Knowledge of PlantUML or other architecture documentation approaches helps teams compare intended structure with the rules enforced in code.
What Strong Specialists Deliver
Strong professionals start by making the intended architecture explicit before writing rules. They distinguish valuable constraints from brittle tests, use descriptive failure messages and keep checks maintainable as the code changes. Good deliverables include a rule suite, CI integration, documentation, a remediation plan and guidance that helps teams resolve violations instead of simply suppressing them.
Frequently asked questions
Curious about ArchUnit? Here are the answers that come up again and again.
ArchUnit is used to test Java architecture through code-based rules. It can verify package dependencies, layer boundaries, naming patterns, annotations and restrictions on which classes may access others.
ArchUnit focuses on architecture rules that a team defines for its own Java system, while general static analysis tools often focus on bugs, style or security findings. It complements those tools by checking whether the code follows the intended structure and dependency direction.
ArchUnit can enforce boundaries in hexagonal, onion and clean architecture designs. A specialist can express rules that keep domain code independent from adapters, persistence and framework-specific infrastructure.
A strong ArchUnit freelancer should understand Java package and class modeling, JUnit, Maven or Gradle and continuous integration. Experience with Spring Boot, modular monoliths, dependency injection and domain-driven design is often valuable when rules must reflect a real production system.
ArchUnit does not require a large project to deliver value, but the rules should match the system’s maturity and risks. A specialist can start with a focused set of boundaries, then expand coverage as the team resolves violations and clarifies its architecture.
ArchUnit projects can be handled remotely when repositories, build pipelines and architecture decisions are accessible to the specialist. German teams may still prefer on-site or hybrid workshops for discovery, especially when several product groups need to agree on shared boundaries.
Review whether ArchUnit rules express clear architectural decisions and produce actionable failures. High-quality work avoids overly fragile checks, runs reliably in CI, documents the reasoning behind each rule and leaves the team able to maintain the suite.
ArchUnit does not replace diagrams, decision records or conversations about design. It makes selected decisions executable, so documentation can describe the intent while automated tests guard the parts that must remain true in the code.
The average hourly rate of freelancers in Germany who have used ArchUnit in their recent projects is 95 €, which corresponds to a daily rate of about 760 € based on an 8-hour working day.
Of the freelancers in Germany who have used ArchUnit in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Germany who have used ArchUnit in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.2 years.
The most common languages among freelancers in Germany who have used ArchUnit in their recent projects are German (100%), English (89%), and French (22%).
The most common industries among freelancers in Germany who have used ArchUnit in their recent projects are Information Technology (100%), Government and Administration (89%), and Insurance (78%).
The most common business areas among freelancers in Germany who have used ArchUnit in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (89%).
Main locations of FRATCH Experts, who have recently used ArchUnit
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
