
JUnit Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used JUnit
Marijn S.
Last position:
Senior Software Engineer at Puls Security GmbH
Optimizing and acceleraÂtion of our Gitlab CI pipeline
Conceptual work for the PoC of the Zero Trust system
Extension of the policy-engine backend in Go
Extension of the policy-testing mechanism in Python
Architectural design of the PEP component of Zero Trust
Documentation of the product
Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design
Boris S.
Last position:
Generalist expert for software development at Mercor
- Training AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Hassan A.
Last position:
DevOps & Observability Consultant at ALDI South (Albrecht's Discount)
- Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
- Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
- Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
- Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
- Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
- Investigated production incidents through code changes and AWS CloudWatch logs.
- Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
- Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
- Managed automation activities, testing process, and refactoring practices.
- Responsible for framework migrations, setup, and training for new automation frameworks.
- Promoted a shift-left approach within the QA team and created the test concept.
- Participated in meetings with IT managers, business owners, product owners, and team members.
- Designed and implemented contract testing to validate API schema compatibility between the order management system and the Zed and Glue layers, reducing production-relevant breaking changes by approximately 3%.
- Led the migration to a multi-environment framework that enabled test execution across 4 country configurations from a single codebase.
- Integrated automated unit and functional tests directly into the GitLab CI/CD pipeline, reducing pipeline runtime by 32%.
- Coached and trained 5 QA engineers across Germany and Hungary in test automation, framework architecture, and best practices.
- Architected a layered backend test automation framework separating business logic, API request builders, and the database layer.
- Piloted AI-assisted testing with Playwright Agents, the Playwright MCP Server, and GitHub Copilot for automated test generation, execution, and self-healing Playwright scripts.
Anupriya P.
Last position:
Senior Software Engineer at Telefonica Germany
(Maternity/Parental Leave: July 2023 – Aug 2024)
- Domain: Payment Domain | Client: Telefonica Germany
- Project: General Payment Service
The General Payment Service is responsible for processing of online payments via external payment service provider like Safer pay and PayPal
- Developed Design of Use (DOU) and interface contract documentation, ensuring clarity and compliance across system integrations
- Designed and delivered REST/SOAP web services with Spring Boot and Spring Data JPA, publishing Swagger contracts through WSO2 API Gateway to improve accessibility and governance.
- Spearheaded the on-premises to AWS Cloud migration, re-platforming from Oracle to PostgreSQL on AWS RDS and deploying services on EC2, improving scalability and cost efficiency.
- Containerized microservices using Docker and orchestrated deployments with Kubernetes, streamlining deployment pipelines and improving system reliability.
- Implemented proactive monitoring and logging via AWS CloudWatch and Kibana, ensuring stability and performance during cutover.
- Enhanced collaboration through code reviews and peer reviews, promoting maintainability and clean coding standards.
- Strengthened quality by writing comprehensive JUnit tests and preparing detailed test cases enabling early defect detection
- Delivered automated API testing with Ready API, Postman, and SOAPUI, and conducted performance testing with JMeter, ensuring reliability in high-transaction environments.
Marc S.
Last position:
Fullstack Developer at PLANT-MY-TREE
PLANT-MY-TREE®-per-order
The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.
Tasks:
- Design of the modular software architecture based on Spring Modulith to ensure high maintainability
- Development of the event-driven business logic for evaluating Shopify orders via webhooks
- Implementation of automated invoicing by connecting the weclapp REST API
- Building the frontend using React Router and Shopify App Bridge for native integration
- Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
- Integration of internationalization processes for global use in the frontend and email communication
- Automation of deployment processes using Docker and GitLab CI/CD
Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest
Jan G.
Last position:
Master Data Application at confidential
Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.
Implementation, architecture, project management.
Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.
Anouar T.
Last position:
Fullstack Developer Java/Spring Boot at Snipes SE (Deichmann Group)
- Migration of a .NET Core loyalty program for Snipes, used by mobile cash registers in Snipes stores
- Part of the customer’s digitalization strategy in an agile, cross-functional team with a high level of ownership
- Connecting interfaces to third-party systems (e.g. Brandung, CDS)
- Quality assurance through automated tests
- Carrying out developer, unit, and integration tests
- Patterns & methods used: Clean Code, microservice architecture, agile development with SCRUM
- Technologies & tools used: Spring Boot, Java 23, Java Persistence API (JPA), Azure DevOps, Azure Key Vault, Azure PostgreSQL, Docker & Kubernetes, Git, Graylog, Grafana, JUnit, SonarQube, Jira, Confluence, Prometheus, GitLab, GitLab CI/CD, Visual Studio Code
Rishu K.
Last position:
Java Technical Lead (Agile Developer) at Accenture
- Led the development of robust, scalable, and high-performance micro-services architecture.
- Migrated legacy monolith systems to Spring Boot with RESTful APIs.
- Designed, implemented, deployed, tested, and optimized scalable backend systems ensuring high availability and performance.
- Maintained and deployed Dockerized applications on Kubernetes integrated into CI/CD pipelines.
- Collaborated with cross-functional teams, including frontend developers, product managers, and designers, to translate business requirements into scalable and efficient backend solutions.
- Mentored team members and contributed meaningful code reviews.
Jacqueline H.
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Discover over 15,000 top freelancers
Statistics of experts using JUnit
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 19 years)

Position duration
1.4 years (Germany: 1.9 years)

Positions per freelancer
11 (Germany: 13)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Retail

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
43% (Germany: 51%)

Certifications per freelancer
12 (Germany: 3)

Most common languages
German, English, French

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 Dusseldorf 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 Dusseldorf 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.
- Information Technology (100%)
- Banking and Finance (67%)
- Retail (67%)
- Transportation (44%)
- Automotive (33%)
- Insurance (33%)
- Telecommunication (33%)
- Tourism (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Java Testing Foundation
JUnit is the standard testing framework for Java applications. It helps teams verify business logic, APIs and application behavior with readable, repeatable tests that run locally and in continuous integration. JUnit 5 combines the JUnit Platform, Jupiter programming model and Vintage support for older tests.
Where It Fits
JUnit specialists test more than isolated methods. They help protect services, libraries and Spring Boot applications as code changes, releases and integrations move through delivery pipelines.
- Unit and integration test suites
- REST and service-layer verification
- Regression coverage for legacy Java systems
- Test execution in Maven, Gradle and CI
Core Tooling
Strong JUnit work includes annotations, assertions, assumptions, parameterized tests, nested tests and lifecycle control. Specialists also use Mockito for test doubles, AssertJ or Hamcrest for expressive assertions, JaCoCo for coverage insight and Maven Surefire or Gradle test tasks for execution.
When to Bring Expertise
Companies often need freelance JUnit expertise when a Java codebase has fragile tests, slow feedback or limited coverage around critical changes. In Dusseldorf, specialists may support local product, industrial and enterprise teams on-site, remotely or in a mixed setup, with clear communication in English or German.
- Modernizing JUnit 4 test suites
- Establishing testing conventions
- Stabilizing unreliable builds
- Adding tests around complex integrations
Quality Signals
A strong professional designs tests around observable behavior rather than implementation details. They isolate dependencies carefully, name scenarios clearly and keep failures useful. They also know when a unit test is not enough and when an integration or contract test better reflects production risk.
Delivery in Practice
Effective JUnit work begins with the build system, runtime, architecture and release process already in place. A specialist should document test patterns, review existing coverage and leave a suite that other Java professionals can extend. The result is faster diagnosis, safer refactoring and more dependable delivery across the application lifecycle.
Frequently asked questions
Need clarity? These are the questions we hear most often about JUnit.
JUnit is used to test Java code automatically, from small units of business logic to broader application components. Teams run these tests during development and in CI to detect regressions before releases.
JUnit 5 uses a modular architecture with the JUnit Platform, Jupiter programming model and Vintage support. It adds modern extension mechanisms, improved parameterized tests and clearer separation between the framework parts, while many JUnit 4 tests can be migrated incrementally.
JUnit expertise is more useful when paired with Mockito, Spring Boot testing, REST clients and database-test tools. These adjacent skills help a specialist choose suitable test boundaries and avoid confusing isolated unit tests with integration checks.
A JUnit specialist should understand the project’s Java version, build system, architecture and release risks before recommending a test approach. A small test improvement may need focused framework knowledge, while a migration or unreliable suite calls for broader experience with test design and CI.
JUnit work is well suited to remote collaboration because tests, build files and CI results can be reviewed digitally. Teams in Dusseldorf should still agree on repository access, review routines, working language and occasional on-site needs where close product context matters.
JUnit is a strong default for modern Java projects and has broad support across build tools and frameworks. TestNG may suit teams that depend on its particular suite configuration or execution features, so the decision should follow existing code, team skills and migration cost.
Review whether JUnit tests describe important behavior, fail for meaningful reasons and remain stable when implementation details change. Good work includes readable names, sensible isolation, appropriate integration coverage and CI execution that gives the team useful feedback.
Before working with JUnit, a freelancer should clarify the Java and framework versions, current test structure, build tool, CI process and the defects the suite must prevent. They should also agree on coverage priorities, test data, ownership of new patterns and how failures will be investigated.
The average hourly rate of freelancers in Dusseldorf, Germany who have used JUnit in their recent projects is 77 €, which corresponds to a daily rate of about 618 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used JUnit in their recent projects, 100% hold at least a Bachelor's degree and 43% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used JUnit in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Dusseldorf, Germany who have used JUnit in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Dusseldorf, Germany who have used JUnit in their recent projects are Information Technology (100%), Banking and Finance (67%), and Retail (67%).
The most common business areas among freelancers in Dusseldorf, Germany who have used JUnit in their recent projects are Information Technology (100%), Product Development (89%), and Quality Assurance (78%).
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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