JUnit Experts in Stuttgart
matched in minutes from over 15,000 CVsHire experts who create maintainable unit and integration tests, work with JUnit 5 and Mockito, and connect test suites with Maven, Gradle and CI pipelines. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Stuttgart, who have recently used JUnit
Sercan T.
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: System architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital placement platform that directly connects relatives of people in need of care with verified care services and caregivers – without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as the sole developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 using presigned URLs to verify care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and the placement process.
- Development of an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature flag architecture.
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Emmanuel L.
Last position:
Founder and sole developer
- Development of a SaaS platform for esports teams with roles, planning, statistics and billing
- Design and implementation of the architecture, external API integrations and operations
- Stack: Laravel 13, React 19, TypeScript, PostgreSQL, Redis and Stripe
Wael M.
Last position:
Test Manager at Schwarz IT
- Design, planning, and test case analysis
- Integration testing
- Coordination of UAT in the lab and on site
- Creation of HW and SW test catalogs
- Communication of test results from REST services with the SAP team
- Support for branches in the EU until rollout
- Coordination of defect management and SW updates with the involved vendors
- Checking the configuration of the charging stations in the backend software for different countries
- Continuous reporting of the quality status to project management
- Documentation of the user manual in English and German
- Tools: Confluence, be.Energised, OCPP Postman, OPI, CCV (payone.elavon), Excel, it4you
Robin S.
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Benjamin S.
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Marcel S.
Last position:
Technical Lead / Lead Developer at REWE digital
- Due to an organizational restructuring towards product-based teams, the implementation of a Data Mesh in the area of Digital Supplier Management (DSM) was decided.
- A highly available real-time Data Mesh for providing large volumes of data via Kafka and REST to other products.
- New development of a core supplier management software in a (micro-)service-based architecture with a modern tech stack.
- Technologies/Tools:
- Java 21
- Spring Boot
- Angular
- TypeScript
- Go
- MapR
- Kafka
- Docker
- Google Cloud Platform (GCP)
- Kubernetes
- Helm
- GitLab CI
- Maven
- JUnit
- Mockito
- WireMock
- Cypress
- Keycloak
- OAuth 2.0 & OpenID Connect
- Humio
- Nexus
- Artifactory
- SonarQube
- Renovate
- Git
- Postman
- IntelliJ
Ahmed F.
Last position:
Senior Lead Engineer (Freelance) at Atruvia AG
- Development of a wealth management application for investing in foreign currencies
- Full-stack development with Angular, Spring Boot, OpenShift, Oracle DB, Kafka
- Design and implementation of a microservice architecture
- Integration into Atruvia's BWS system and connection of multiple interfaces between Atruvia and DZ Privatbank
- Greenfield development of the application from the ground up
- Technical responsibility for architecture and interface design
- Close collaboration with business units and external stakeholders
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
Okan A.
Last position:
Team Leader / Project Manager at OEM in the Stuttgart area
- development, setup and deployment of a custom HIL system for aerodynamic components
- adaptation of the system specification and creation of the test specification
- coordination and planning of test cases, as well as specification of component and K-HIL tests at the system level and in integration
- planning, specification and execution of interface tests
- participation in vehicle trials
- led a team of 10 members following classic and agile A-SPICE standards with development according to the V-model
- Tools used: Jira, MS Project, GitTea, Gox, Confluence, KPM, MoveIT, DOORS, PTC Integrity, Intense, JFrog
Discover over 15,000 top freelancers
Statistics of experts using JUnit
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 19 years)
Position duration
1.4 years (Germany: 1.9 years)
Positions per freelancer
15 (Germany: 13)
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Automotive, Information Technology, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91% (Germany: 92%)
Master's degree or higher
36% (Germany: 51%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Stuttgart are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Stuttgart using JUnit
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
JUnit experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (82%)
- Information Technology (82%)
- Banking and Finance (64%)
- Government and Administration (64%)
- Manufacturing (55%)
- Healthcare (45%)
- Transportation (45%)
- Retail (45%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What JUnit does
JUnit is the standard testing framework for Java applications. It helps teams verify small units of code, detect regressions and document expected behavior through repeatable automated tests. JUnit 5 supports modern test design with Jupiter, a flexible extension model and clearer lifecycle controls.
Where it fits
JUnit tests run across backend services, web applications, libraries and enterprise systems. Companies use them to validate business rules, REST endpoints, persistence logic and integrations before changes reach production.
- Unit tests for services and domain logic
- Parameterized tests for varied inputs
- Integration tests for databases and APIs
- Regression suites for established applications
Ecosystem and tooling
Strong JUnit work includes more than writing assertions. Specialists use Mockito or other mocking tools, Spring Test for application contexts, and AssertJ for readable checks. Maven and Gradle manage execution, while Jenkins, GitHub Actions or GitLab CI run suites during delivery.
When specialists help
Freelance expertise is useful when a codebase has weak coverage, slow test feedback or unreliable builds. A specialist can establish a test strategy, refactor difficult code for testability and introduce dependable checks without blocking ongoing feature work. In Stuttgart, this often supports distributed teams across software, manufacturing and mobility projects.
- Stabilizing flaky tests
- Migrating older JUnit 4 suites to JUnit 5
- Improving CI test reporting
- Testing legacy Java applications safely
What strong professionals deliver
Experienced professionals separate unit, integration and end-to-end concerns so each test remains useful and fast. They choose test data carefully, isolate external dependencies and explain failures clearly. Their deliverables may include test architecture, reusable fixtures, migration plans, CI configuration and practical documentation.
Choosing the right fit
Look for evidence of Java systems tested in production-like environments, not only isolated examples. Discuss test boundaries, mocking decisions, build tools and the project’s tolerance for slower integration checks. Remote collaboration works well when test failures, pull requests and reports are visible; on-site work in Stuttgart can help when testing depends on hardware, restricted networks or close product-team coordination.
Frequently asked questions
Before you brief your next project: the most common questions about JUnit.
JUnit is used to automate tests for Java code, especially unit tests for classes, methods and business rules. It can also support integration tests when combined with application frameworks, databases, APIs and build tools.
JUnit 5 has a modular architecture, a modern Jupiter programming model and a flexible extension system. It also provides improved parameterized testing and clearer lifecycle annotations, while JUnit 4 remains common in older Java codebases.
A strong JUnit specialist usually understands Java, Maven or Gradle, version control and continuous integration. Mockito, AssertJ, Spring Test, REST testing and database test setup are also valuable when the work covers more than isolated unit tests.
The right level depends on the codebase and the expected outcome. A smaller suite may need focused test creation, while a legacy migration or flaky CI problem calls for someone who can assess architecture, improve testability and guide the team through change.
Yes, most JUnit work can be handled remotely through repositories, pull requests, CI logs and shared test reports. On-site collaboration in Stuttgart may be useful when the tests depend on local hardware, private environments or close coordination with a physical product team.
Review whether the tests check meaningful behavior rather than implementation details alone. Ask how the specialist handles flaky tests, test data, mocks, integration boundaries and failures in CI. Good work produces readable tests that remain useful as the Java application changes.
JUnit provides the test structure and execution model, but additional tools are often needed for broader coverage. Teams may combine it with Spring Test, Testcontainers, REST Assured, browser tools or database fixtures depending on the system under test.
A JUnit 4 migration requires more than changing annotations. The specialist should review runners, rules, lifecycle behavior, parameterized tests and build configuration before moving suites to JUnit 5. Compatibility support can help teams migrate incrementally.
The average hourly rate of freelancers in Stuttgart, Germany who have used JUnit in their recent projects is 103 €, which corresponds to a daily rate of about 827 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used JUnit in their recent projects, 91% hold at least a Bachelor's degree and 36% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used JUnit in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Stuttgart, Germany who have used JUnit in their recent projects are German (100%), English (100%), and Spanish (27%).
The most common industries among freelancers in Stuttgart, Germany who have used JUnit in their recent projects are Automotive (82%), Information Technology (82%), and Banking and Finance (64%).
The most common business areas among freelancers in Stuttgart, Germany who have used JUnit in their recent projects are Product Development (100%), Information Technology (91%), and Quality Assurance (73%).
Main locations of FRATCH Experts, who have recently used JUnit
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.
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Hamburg 
Munich 
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Frankfurt 
Dusseldorf 
Essen 
Nuremberg Request a free demo
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FRATCH CEO
