JUnit Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used JUnit
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Uday Vanaparthy
Last position:
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.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- 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.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Jan Mundo
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
Ingo Dettling
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Alona Liuzniak
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 Keil
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
Marie-Josée Mache
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.
Umer Dilpazir
Last position:
Activation and Vocational Integration Program with Integrated Language Support at Berlitz
- Intensive language course with a focus on professional language content.
Neha Khare
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
Ralf Köster
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 to map a project-specific DSL, including parsing and code generation
- Implementation of pixel-perfect synchronization between editor and print preview to improve user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
Adil Sultan
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
Delly Fofie
Last position:
Dad of 2 daughters at Family
Michael Yaco
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
David Rihm
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)
Dragos Andrei Serediuc
Last position:
QA Tech Lead at Thinksurance
- Establishing and enforcing strong technical standards within and across teams
- Define the required standard in line with overall strategy and communicate across respective technology teams
- Understanding business and technical requirements and implemented (across teams) in an effective and timely manner
- Mentoring (Junior/Mid) Quality Assurance engineers on their path towards seniority
- Providing regular feedbacks and participate in technical interviews
- Contribute to solution architecture proactively
- Design, align, and create solutions for future features according to overall architecture concept and business requirements
- Clarify and communicate decisions from system architects into respective teams
- Challenge business requirements in workshops, refinements, and planning to come to the best possible solution
- Drive QA solution delivery in and across the team
- Support and drive the full QA process
- Execute code reviews for critical tests and accompany their execution into CI/CD
- Participate in running/monitoring and maintaining the application in production
- Follow-up on critical bugs in production system
- Help to debug and solve problems in a timely manner
Discover over 15,000 top freelancers
Statistics of experts using JUnit
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 19 years)
Position duration
2.2 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, Transportation
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93% (Germany: 91%)
Master's degree or higher
57% (Germany: 54%)
Doctorate
7% (Germany: 8%)
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 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What JUnit does
JUnit is the standard test framework for Java. Teams use it to write unit tests, integration checks, and regression suites that protect business logic and keep releases stable. It fits service back ends, libraries, and many enterprise systems.
Common use cases
- Test Java classes, services, and utilities
- Validate API behavior and edge cases
- Guard refactors with repeatable regression tests
- Support continuous integration and release checks
Ecosystem around it
Strong specialists work with JUnit 5, JUnit 4, and the JUnit Platform. They often combine it with Mockito, Hamcrest, AssertJ, Maven, Gradle, and CI tools. For older code bases, they know how to keep Vintage tests running while moving toward newer Jupiter tests.
When to bring in specialists
Bring in freelance expertise when tests are fragile, missing, or hard to maintain. It also helps when a team is modernizing legacy Java code, untangling slow test suites, or setting up a clean test structure for a new service. In Frankfurt, this is common in finance, insurance, and software teams that need reliable delivery.
What strong professionals deliver
Good JUnit professionals do more than add assertions. They design testable code, isolate dependencies, and choose the right test level for the task. You should expect clear test names, stable fixtures, useful failure messages, and suites that run fast in local and CI environments.
Signs you need JUnit help
- Tests fail for the wrong reasons
- Coverage exists but does not protect key logic
- New code is hard to test cleanly
- Legacy JUnit 4 code needs careful updating
- CI runs are slow or flaky
A strong expert can also explain where JUnit should stop and where other tools belong, such as Spring Test or end-to-end checks. That keeps the test strategy focused and practical.
Frequently asked questions
Quick answers to the questions that come up most around JUnit.
JUnit is used to write automated tests for Java code. Companies rely on it to verify business rules, catch regressions, and keep refactors safe. It is a core tool for stable release cycles.
JUnit 5 is the modern direction for new work, especially because it separates the platform, the Jupiter programming model, and support for older tests. JUnit 4 still appears in many existing code bases, so a good specialist should know both. The right choice depends on the state of your project.
JUnit is the default choice for many Java teams because it is familiar, widely supported, and easy to integrate with build tools. TestNG offers different test organization features, while Spock is popular in Groovy-heavy teams and can be very expressive. A strong specialist will choose the tool that fits your code base, not just the trend.
A strong JUnit freelancer usually understands Mockito, AssertJ, Hamcrest, Maven or Gradle, and CI pipelines. They should also know how to test Spring-based services, handle test data, and keep tests deterministic. For real delivery, code design matters as much as assertions.
JUnit help is useful as soon as tests start blocking delivery, but the need becomes clear when a code base grows, legacy tests pile up, or new features are hard to verify. Smaller projects may only need a short setup or review. Larger systems often need ongoing support for test structure and maintenance.
Yes. JUnit work is usually easy to do remotely because it centers on code, build output, and test failures. Frankfurt teams often mix on-site workshops with remote implementation, especially when discussing legacy systems, review sessions, or shared CI issues.
Look for clear test design, not just many test cases. A strong JUnit specialist writes readable tests, avoids brittle mocks, understands the difference between unit and integration tests, and improves maintainability. They should also explain why a test belongs in JUnit and when another layer is better.
A good JUnit specialist will ask about the Java version, existing test stack, build tool, and whether the code base uses JUnit 4, JUnit 5, or both. They will also want to know which parts are business-critical and which CI problems matter most. That context helps them avoid noisy tests and focus on value.
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 755 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used JUnit in their recent projects, 93% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used JUnit in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are German (100%), English (94%), and Russian (19%).
The most common industries among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are Information Technology (100%), Banking and Finance (69%), and Transportation (38%).
The most common business areas among freelancers in Frankfurt, Germany who have used JUnit in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (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.
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Stuttgart 
Dusseldorf 
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FRATCH CEO
