JUnit Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used JUnit
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Marc Smyk
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
Rainer Langbehn
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
As-is analysis
Evaluation of Redgate Flyway functionality
Concept creation
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Skills: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Thomas Pawlitzki
Last position:
Freelance Software Architect at Self-employed
Markus Glagla
Last position:
Full Stack Developer at REWE Digital
- A warehouse valuation system was reimplemented using Java, Spring Boot, and Camunda. The backend solution focuses on integration and batch calculations, the frontend on managing formulas and reviewing results.
- Java 21
- Spring Boot
- JPA
- Maven
- REST
- Kafka
- PostgreSQL
- DB2
- Liquibase
- Google Cloud Storage
- Keycloak
- GitLab CI/CD
- Helm
- Terragrunt
- SonarQube
- Angular
- IntelliJ
- JUnit 5
- Mockito
- Open API
Jens Hagemeyer-Lee
Last position:
#52 Test Manager in Safety-Critical Infrastructure at Telecommunications Company
- Network elements, network, operational and operator-related systems
- Supporting around 20 different products (managed agile)
- Requirements analysis and management (functional and non-functional)
- Test concept and planning (scope, test phases, effort, schedule, resources, organization, etc.)
- Aligning approach with clients and service providers
- Managing and assisting in creation of test cases for system, integration and end-to-end tests
- Guiding and supporting test execution
- Defect management and planning bug fixes with external providers
- Preparing and facilitating workshops
- Regular reporting and creating automated test reports
- Further development of agile testing methodology and configuration of supporting tools
- Conceptual support in developing a quality seal for rating product and service quality of internal and external providers
- Requirements engineering based on ISO/IEC 25010, Scrum, SaFE
- BMC Remedy, Atlassian Confluence, Atlassian Jira (including plugins Xray, Structure), Microsoft Office (incl. Visio), Obsidian, doxis document management system, Gitlab, Obsidian
Ayhan Gezer
Last position:
Senior QA Engineer / Test Automation Engineer / SDET at Rewe digital
Consulting, designing, and implementing the software testing lifecycle for multiple Android apps and backends Introducing test automation with Appium, SpringBootTest, RestAssured Setting up and managing emulators Developing an E2E library, an integration library, a Testcontainers library, and other libraries Developing, implementing, and advising on CI strategies Building the test environment with Testcontainers and virtualization Developing and implementing test cases for integration tests and end-to-end tests Establishing a maintainable test architecture with low entry barriers to simplify the creation of automated tests Some tools and technologies used: JUnit, RestAssured, Testcontainers, Kubedock, Appium, Android emulator, Jira Xray, Mockito, WireMock, Spring Framework, Kotlin
Predrag Perovic
Last position:
Test Developer | Test Automator at CreditReform
Technologies: Java 25, Selenium, Insomnia, SSO, GitLab, Jenkins, Docker, Kubernetes, Jira, IntelliJ, Nexus, Oracle, MariaDB, Spring Boot, Grafana, Concept Board, Vue.js, OpenAPI, Kotlin. Implementation, maintenance, and extension of automated end-to-end regression tests for UI and API interfaces. Appropriate and targeted test automation across multiple software products, including Java-based Windows applications. Automating business processes with Selenium, reset jobs, and DB import jobs, as well as creating test concepts, test case descriptions, and structured bug reporting.
Alexander Vasiliev
Last position:
Senior DevOps / Platform Engineer at Kaufland e-commerce / real.digital (ex hitmeister.de)
- Evolved the platform from bare-metal infrastructure with a monolithic PHP application to a hybrid Google Cloud architecture with Go microservices on Kubernetes
- Managed and scaled a production infrastructure with 300+ VMs and dozens of clusters, including MySQL, PostgreSQL, MongoDB, RabbitMQ, Redis and Elasticsearch clusters
- Designed architecture, deployment, monitoring, performance analysis, and upgrades for all platform services using Terraform and Ansible
- Migrated observability systems from ELK and Prometheus to Datadog, managed with Terraform
- Introduced Jenkins CI/CD with SonarQube integration and automated tests to speed up feedback cycles
- Containerized the testing environment and implemented GitLab CI pipelines for Docker image builds, static code analysis, and infrastructure tests
- Performed zero-downtime migrations of MySQL and MongoDB clusters to Google Cloud
- Developed reusable Ansible roles for database clusters and automated data obfuscation for staging environments
- Decomposed monolithic databases and migrated to microservice architectures
- Built tools to detect and optimize slow queries in MySQL and MongoDB
- Conducted online schema migrations with pt-online-schema-change without downtime windows
- Developed internal Go applications for batch queries, GitLab-Jira integration, and MongoDB backup recovery
- Technologies: Debian, Ubuntu, Alpine, Go, Bash, Python, PHP, SQL, GitLab CI, Jenkins, Drone CI, MySQL, MongoDB, PostgreSQL, Redis, Elasticsearch, RabbitMQ, Kafka, Docker, Kubernetes, Nomad, Ansible, Terraform, Grafana, ELK, Prometheus, Datadog, Nagios, Zabbix, Nginx, HAProxy, Vault, Helm, SonarQube, Filebeat, Auditbeat, Google Cloud, AWS
Vladimir Maznicenko
Last position:
Developer at Financial services provider
- Support and further development of a framework for developing applications in a banking association: DynS/OSPE
- Migration of the framework to Java 11 and Java 17
- Java8, Java11 and Java17, Spring, Spring-Batch, Spring WebServices, Spring-Security, Spring-Data, JPA, Hibernate, OpenSource libraries etc.
- XML, JAXB, JSON, REST and SOAP services, DB2, Oracle, WebSphere or Liberty AS, FreeMaker, Junit, mock libraries, JaCoCo, Maven, IntelliJ, Eclipse, GitHub, SVN, Jira
Louis Nguenkam
Last position:
Specialist in Adobe Experience Manager & Microservices at Nguenkam Consulting & Engineering
Java 11/21
Springboot
Swagger/OpenApi
Azure Pipelines
Trivy Integration
Apache Sling
OSGI
Java Content Repository (JCR)
Apache Jackrabbit Oak
Adobe HTL
GraphQL
Maven
GitLab
IntelliJ
Azure Cloud
Azure DevOps
Terraform
AEM specialist in the Scrum team
Development and deployment of microservices via Open API interfaces
Operation of microservices in the Azure Cloud
Implementation of AEM modules and integration with microservices
Member of the knowledge transfer team and a backend coordination team
Jacqueline Haefke
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
Vishali Thangalapally
Last position:
Senior Analyst at Accenture
- Facilitated data retrieval for first-assist applications through an interface that fetches content based on client input criteria and loads it into the database via batch processing.
Kay Odenthal
Last position:
Fullstack Developer at INIT GmbH
- Development of monitoring and control systems for public transport
- Development of a platform for real-time monitoring of passenger information and ticketing systems and an application for remote control and status monitoring of access systems
- Development of dynamic forms, complex tables, real-time dashboards (SignalR), and reusable components in the frontend (using Storybook)
- Implementation of REST interfaces in the backend
- Deployment to Microsoft Azure Cloud
- Technologies used: Angular 20, Angular Material 3, Dev Extreme, Storybook, C#/.NET 10
Last position:
Rewe Digital
- Creation of Spring Boot integration tests
- Creation of JUnit tests for the coupon system
- Creation of component tests for Kafka topics
- Creation of CI/CD pipeline scripts
- Creation of UI tests with Playwright
- Creation of UI tests with Cypress
- Review of developer unit tests
- Planning the test architecture for integration tests
- Creation of the test automation concept
- Evaluation and creation of test reports
Discover over 15,000 top freelancers
Statistics of experts using JUnit
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 19 years)
Position duration
1.7 years (Germany: 1.9 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
69% (Germany: 54%)
Doctorate
15% (Germany: 8%)
Certifications per freelancer
2 (Germany: 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 Cologne 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 Cologne 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
What JUnit is
JUnit is the standard testing framework for Java code. It helps specialists write repeatable unit and integration tests, check edge cases, and catch regressions before release. Teams use it to protect core business logic, APIs, and backend services.
Where it fits
JUnit shows up in modern Java delivery across services, libraries, and platform code. It is often paired with:
- Maven or Gradle test pipelines
- JUnit 5 and the Jupiter API
- Mockito, AssertJ, and Hamcrest
- Spring Boot test suites and CI runs
Why companies bring in specialists
Companies look for freelance JUnit specialists when test suites are slow, brittle, or missing around critical code. They also bring in outside help during refactors, migrations from JUnit 4 to JUnit 5, and release hardening before a major launch. In Cologne, this is common for teams that need support without adding long internal onboarding.
What strong experts do
Strong professionals do more than write assertions. They structure tests well, isolate dependencies, use parameterized tests where they fit, and keep naming and setup clean. They also spot weak test design, flaky behavior, and gaps in coverage around exceptions, time, and data boundaries.
Common project work
Typical JUnit work includes fixing failing tests, improving build reliability, and creating test patterns for new modules. It also includes reviewing existing suites, adding coverage around service logic, and setting up test execution in CI so teams can trust every merge.
Hiring signals
Bring in a JUnit expert when:
- Java changes ship without enough automated tests
- CI fails because tests are flaky or slow
- a JUnit 4 codebase needs a clean move to JUnit 5
- Spring or microservice tests need better structure
- local teams in Cologne need remote or on-site support
Frequently asked questions
Curious about JUnit? Here are the answers that come up again and again.
JUnit is used to test Java code in a repeatable way. Companies rely on it to verify business rules, guard against regressions, and document how code should behave. It is a core tool for unit tests, but it also appears in broader integration test setups.
JUnit 5 is the usual choice for new work because it is the current model and gives teams the Jupiter API, better extension support, and cleaner test organization. JUnit 4 still matters in older codebases, especially when migration is gradual. A good specialist can keep both running while moving tests forward safely.
JUnit and TestNG both support Java testing, but JUnit is the more common default in many modern Java stacks. TestNG can fit teams that want a different annotation model or test grouping style. The right choice depends on your existing codebase, build setup, and team habits.
A strong JUnit specialist usually also knows Mockito, AssertJ, Hamcrest, Maven or Gradle, and the Java language itself. For Spring-based systems, experience with Spring Boot test slices and context loading is valuable. CI familiarity also matters because tests live inside the delivery pipeline.
JUnit work does not always need a large senior team, but it does need someone who understands test design and Java internals well enough to avoid fragile suites. Simple additions can be handled quickly, while migration or refactoring work needs deeper experience. The harder the production risk, the more important that depth becomes.
Yes. Many JUnit specialists can work remotely as long as they can access the codebase, build tools, and test environments. On-site collaboration in Cologne can help during workshops, migration planning, or when product and backend teams need tight short-term coordination.
Look for tests that are clear, isolated, and stable, not just numerous. A good JUnit professional explains trade-offs, removes duplication, and protects behavior that matters instead of chasing coverage for its own sake. Review how they handle edge cases, naming, setup, and flaky tests.
Common JUnit deliverables include new test suites, migration support from older test code, flaky test fixes, and test reviews for existing Java modules. Many engagements also include build pipeline improvements and advice on where to use mocks versus real components. The best outcomes are practical and easy for the team to maintain.
The average hourly rate of freelancers in Cologne, Germany who have used JUnit in their recent projects is 90 €, which corresponds to a daily rate of about 723 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used JUnit in their recent projects, 100% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Cologne, Germany who have used JUnit in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Cologne, Germany who have used JUnit in their recent projects are German (100%), English (100%), and French (24%).
The most common industries among freelancers in Cologne, Germany who have used JUnit in their recent projects are Information Technology (88%), Retail (59%), and Banking and Finance (53%).
The most common business areas among freelancers in Cologne, Germany who have used JUnit in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (76%).
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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