JUnit Experts in Stuttgart
in minutes from over 15,000 CVs with the power of AI.Hire experts who write stable JUnit test suites, improve test coverage, and clean up flaky pipelines for Java teams. They work across unit, integration, and regression testing in modern build setups, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used JUnit
Sercan Tatar
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 matchmaking platform that connects relatives of people in need of care directly 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 the 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 a solo 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 via presigned URLs for verification of 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 placement process.
- Building 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.
Artyom Narimanyan
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
Robin Sadlo
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
Will Orrantia
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
Benjamin Schaich
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
Ahmed Fikri
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 Chimi
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 Altay
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
16 (Germany: 13)
Top business areas
Product Development, Information Technology, Project Management
Top industries
Automotive, Information Technology, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
50% (Germany: 54%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Stuttgart 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
JUnit basics
JUnit is the standard testing framework for Java code. Teams use it to write repeatable tests for classes, services, APIs, and business rules. It helps catch regressions early and keeps changes safe during refactoring.
Where it fits
JUnit appears in:
- unit tests for core Java logic
- integration tests with Spring and database layers
- regression suites for legacy systems
- CI pipelines that run on every change
It is a practical choice for product teams, platform teams, and software houses working in Stuttgart and across Germany.
Ecosystem around it
Strong specialists know JUnit 5, the Jupiter API, and common assertions and lifecycle annotations. They also work with Mockito, Hamcrest, AssertJ, Maven, Gradle, and CI tools such as Jenkins or GitHub Actions. Good work here is not just writing tests, but making them readable and easy to maintain.
When experts help
Companies bring in freelance JUnit expertise when tests are missing, slow, or hard to trust. It also helps when a codebase moves from JUnit 4 to JUnit 5, when flaky tests block releases, or when teams need a cleaner test structure before a larger Java change.
What strong professionals do
- isolate business logic and edge cases
- replace fragile test code with clear setups
- improve naming, coverage, and failure messages
- keep tests fast enough for daily use
The best specialists understand how production code, test data, and build tooling affect reliability.
Signs to hire
If your Java team avoids tests, spends time fixing broken assertions, or cannot explain why builds fail, it is time to bring in help. JUnit work is especially valuable when delivery speed matters and quality checks need to become part of the normal development flow.
Frequently asked questions
Before you brief your next project: the most common questions about JUnit.
JUnit is used to write automated tests for Java code. Teams rely on it to check business rules, service behavior, and edge cases before changes reach production. It is a core tool for keeping Java systems stable over time.
JUnit is the most common choice in many Java teams because it is simple, well supported, and fits standard build tools. TestNG offers a different style and some teams prefer it for specific test structures, while Spock is often chosen in Groovy-heavy projects. The right choice depends on your codebase, team habits, and test needs.
A strong JUnit specialist usually knows Mockito for mocking, AssertJ or Hamcrest for assertions, and Maven or Gradle for builds. They should also understand Spring tests, test isolation, and how to keep suites fast and readable. For older code, experience with JUnit 4 and migration to JUnit 5 is valuable.
A good JUnit freelancer can start with a small amount of context if the code and build setup are clear. Access to the test suite, failing pipelines, and a few representative modules is usually enough to begin. The more complex the system, the more useful it is to share architecture notes and existing test standards.
Yes, JUnit work is often well suited to remote collaboration because the main inputs are code, test results, and build logs. For teams in Stuttgart, a remote specialist can usually work effectively with English materials, though some local teams prefer German for workshops or handover sessions. On-site time can help when a codebase is messy and decisions need quick alignment.
Look for someone who writes tests that are clear, focused, and easy to maintain. A strong JUnit expert can explain why a test exists, how it fails, and how it protects the codebase from regressions. Good signs include stable test runs, clean naming, and sensible use of mocks and fixtures.
JUnit 5 is usually the better choice when you want the modern Jupiter API, better extension support, and a cleaner structure for new tests. Migration makes sense when new work is being added regularly or when old annotations and runners are slowing teams down. A specialist can plan the move so existing tests keep working during the transition.
JUnit is common in backend services, internal business systems, API layers, and legacy Java applications. It is also useful in teams that run frequent CI checks and need confidence before release. If test quality is blocking delivery, this is usually a good place to bring in help.
The average hourly rate of freelancers in Stuttgart, Germany who have used JUnit in their recent projects is 107 €, which corresponds to a daily rate of about 857 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used JUnit in their recent projects, 100% hold at least a Bachelor's degree and 50% 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 French (38%).
The most common industries among freelancers in Stuttgart, Germany who have used JUnit in their recent projects are Automotive (88%), Information Technology (88%), and Banking and Finance (75%).
The most common business areas among freelancers in Stuttgart, Germany who have used JUnit in their recent projects are Product Development (100%), Information Technology (88%), and Project Management (75%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
