JUnit Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used JUnit
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
David R.
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Ralf K.
Last position:
Senior Java Developer, Consultant at Dataport AÖR
- Maintenance and further development of the Java/Swing-based @rtus FormsEditor
- Design and development of a graphical formula editor based on Google Blockly for representing a project-specific DSL, including parsing and code generation
- Implementation of character-accurate synchronization between the editor and print preview to improve the user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
Alona L.
Last position:
AI Architect
AI-powered platform for automated UX validation and designer support
- Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
- Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
- Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
- Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Umer D.
Last position:
Activation and Vocational Integration Program with Integrated Language Support at Berlitz
- Intensive language course with a focus on professional language content.
Marie-Josée M.
Last position:
Java Engineer / Developer at Davaso GmbH
- Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
- Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
- Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
- Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
- Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.
Neha K.
Last position:
Team Lead | Senior Java Developer at Capgemini
- Tech Stack: Java 17, Spring Boot, Microservices, REST, GraphQL, Spring AI, Jenkins, Docker, Git/Bitbucket, JUnit, Splunk
- Led a team of 6 to deliver policy, claims, and onboarding modules serving 50k+ users, maintaining 99.9% uptime
- Cut release cycle time by 35–40% by automating CI/CD with Jenkins and Docker
- Implemented trunk-based branching in Git/Bitbucket
- Integrated 10+ REST APIs and streamlined customer workflows, boosting process automation by 40%
- Increased system stability with proactive Splunk alerting and runbooks, reducing outages by ~25%
- Driven quality with JUnit tests (92% coverage) and code reviews; enforced standards with static checks such as SonarQube
Anusha L.
Last position:
Test Automation Consultant at EON Energy
- Design, develop, and maintain automated tests using Playwright with Python scripts, Typescript and Spring Boot
- Create test classes annotated with Spring Boot Test
- Create test scripts to cover functional, regression, and integration testing
- Ensure test automation coverage for web applications
- Collaborate with developers to identify testable requirements
- Troubleshoot automation test failures and resolve issues
- Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
- Monitor and report test automation metrics
- Implement test data management and mocking strategies
- Ensure test reliability, stability, and maintainability
- Experience with containerization (Docker) and orchestration (Kubernetes)
Adil S.
Last position:
Mobile/Backend Developer at Freelance
- Built a cross-platform mobile application using React Native that interacts with IoT devices via RESTful APIs
- Implemented state management with Redux and integrated IoT-specific components for smooth data visualization and device control
- Developed RESTful APIs using Node.js and Express, utilizing MongoDB for scalable data storage
- Facilitated secure communication between the mobile app and IoT devices, enabling device onboarding, status monitoring, and control commands
- Implemented real-time data synchronization and optimized data flow to minimize latency
Puya D.
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Delly F.
Last position:
Dad of 2 daughters at Family
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
2.1 years (Germany: 1.9 years)
Positions per freelancer
12 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94% (Germany: 92%)
Master's degree or higher
53% (Germany: 51%)
Doctorate
6%
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Russian
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 Frankfurt 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 Frankfurt 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 (75%)
- Transportation (50%)
- Telecommunication (40%)
- Automotive (35%)
- Government and Administration (35%)
- Insurance (30%)
- Healthcare (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What JUnit does
JUnit is a testing framework for Java applications. It helps teams express expected behavior as repeatable tests, run them automatically, and detect regressions before code reaches production. JUnit 5 uses the Jupiter programming model and a modular platform for running tests.
Core test work
JUnit specialists create unit tests for business logic, services, data transformations, and error handling. They use assertions, lifecycle methods, parameterized tests, nested tests, and tags to keep suites readable and useful.
- Define focused tests for isolated Java components
- Cover edge cases, exceptions, and validation rules
- Organize fast unit tests separately from slower checks
- Diagnose flaky or misleading test behavior
Ecosystem and tooling
JUnit commonly runs with Maven Surefire, Maven Failsafe, or Gradle test tasks. Strong professionals also work with Mockito, AssertJ, Spring Test, JaCoCo, Testcontainers, and CI systems such as Jenkins, GitHub Actions, or GitLab CI. They understand the differences between JUnit 4 and JUnit 5, including runners, extensions, and Jupiter annotations.
When companies need help
Freelance expertise is useful when a Java codebase lacks meaningful coverage, a migration from JUnit 4 is blocking delivery, or a pipeline produces slow and unreliable feedback. It also helps during Spring application work, service decomposition, legacy modernization, and releases that require dependable regression protection.
- Establish a practical testing strategy for an existing codebase
- Replace brittle tests with isolated, maintainable scenarios
- Connect test execution with build and deployment pipelines
- Review coverage reports without treating coverage as quality alone
Working in Frankfurt
Companies in Frankfurt use Java systems across finance, logistics, mobility, commerce, and business services. JUnit professionals can collaborate remotely or on site, depending on security needs and team routines. Clear English is often enough for distributed work; German can help when testing processes involve local stakeholders.
What strong experts deliver
The best JUnit professionals test behavior rather than implementation details. They choose useful boundaries, name scenarios clearly, control test data, and explain failures so teams can act on them. They also know when JUnit is enough and when integration, contract, or end-to-end testing is the better fit.
Frequently asked questions
Quick answers to the questions that come up most around JUnit.
JUnit is used to write and run automated tests for Java code. Teams use it to verify business rules, exception handling, service behavior, and regression fixes throughout development.
JUnit 5 introduces the Jupiter programming model, a modular platform, extensions, improved parameterized tests, and different annotations. JUnit 4 remains common in older codebases, so a specialist should be able to maintain it and plan a controlled migration.
A strong JUnit specialist often works with Mockito, AssertJ, Spring Test, Testcontainers, Maven, Gradle, and code coverage tools. Knowledge of CI pipelines and test design matters as much as knowing individual annotations.
The right JUnit professional depends on the codebase and risk, not on a fixed number of years. A focused test-suite review may need a testing specialist who understands the domain, while a migration or large Java platform benefits from broader build and integration expertise.
JUnit work is usually well suited to remote collaboration because tests, builds, and reports are shared through version control and CI systems. On-site work may still be useful for regulated environments, sensitive systems, or teams that need close workshops in Frankfurt.
JUnit is the better fit for fast, isolated checks of Java components and business logic. End-to-end tools are more suitable when the goal is to validate complete user journeys across browsers, services, databases, or external systems.
Good JUnit work produces tests that are readable, deterministic, focused, and valuable when they fail. Ask the specialist to explain test boundaries, data setup, failure diagnosis, execution time, and how the suite avoids coupling tests to implementation details.
A JUnit professional should clarify the Java version, JUnit 4 or JUnit 5 usage, build tool, CI setup, mocking approach, and current test pain points. Understanding the domain and release process helps them add tests that protect real behavior rather than simply increase coverage.
The average hourly rate of freelancers in Frankfurt, Germany who have used JUnit in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used JUnit in their recent projects, 94% hold at least a Bachelor's degree, 53% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used JUnit in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are German (100%), English (95%), and Russian (15%).
The most common industries among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are Information Technology (100%), Banking and Finance (75%), and Transportation (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are Information Technology (100%), Product Development (95%), and Quality Assurance (80%).
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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