JUnit Experts in Berlin
for reliable test automation, matched in minutes with vetted and available freelancersHire experts who design maintainable Java tests, build Spring Boot test suites and integrate quality checks into CI pipelines. FRATCH matches you quickly and precisely with vetted, available freelancers for your project.
Meet FRATCH Experts in Berlin, who have recently used JUnit
Alexandr K.
Last position:
Technical Co-Founder at Dealyv
- Joined the initial development team and helped transform an n8n prototype into a production-ready 0-to-1 product in a fast-paced environment.
- Owned delivery across CRM and Twilio integrations, customer communication workflows, and administrative interfaces.
- Collaborated on AI evaluation, microservice architecture, and other cross-functional product and engineering topics.
- Supported the CEO across VC communications, customer acquisition, product positioning, onboarding, documentation, pricing, and sales.
Jorge P.
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Imran A.
Last position:
Software Engineer II at LivePerson Germany GmbH
- Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
- Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
- Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
- Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
- Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
- Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.
Abhiroop B.
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Ola V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Mohsin H.
Last position:
BBM GenAI MiDAS program coordinator for Bosch eBike at Robert Bosch GmbH
The MiDAS program aims to integrate Generative AI across the entire BBM organization. My role is to enable the eBike division to adopt and leverage Generative AI by collaborating closely with the MiDAS team in India.
Management:
- Enable the eBike division to adopt GenAI through tailored solutions.
- Collaborate with the MiDAS team in India to design solutions for Generative AI use cases specific to the eBike division.
- Coordinate with the eBike teams to integrate GenAI systems, tools, plugins, and services provided by the MiDAS team.
- Plan roadmaps with eBike and MiDAS India team Product Managers for the delivery and integration of Generative AI solutions.
Ibrahim H.
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
- Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software
Nikunjkumar P.
Last position:
Senior Java Backend Developer at Questax Professionals GmbH
- Provide the Price Listing Service team with prices for all cars and vans in different markets
- Adapt market-specific requirements such as taxes, government subsidies, campaigns
- Import and synchronize new prices for all new and existing cars and store them in the Redis datastore
- Support our product and on-call duty
- Daily business, development of new features, bug fixing
- Pair programming, code review, mob programming
- Develop POCs for new ideas
- Maintain and extend the backend
- DevOps tasks
- Run Kubernetes updates
- Adjust and further develop Kubernetes resources
- Develop and adapt Helm charts
- Adapt and update ArgoCD
- Maintain, adapt, and improve CI/CD
Mario J.
Last position:
Architect / Developer at handyhase
- Overhaul of the entire design and implementation of new UI/UX aspects using React
- Planning of the software architecture and structuring of the project for long-term scalability using Git for version control
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Igor K.
Last position:
Freelance Software Developer
Karthikeyan R.
Last position:
Full-Stack Developer — Own Product at Self-employed
Java 21 · Spring Boot 3 · Keycloak · PostgreSQL · Docker · Nginx · GitHub Actions · DigitalOcean · React 18 · TypeScript · Plasmo
- Architected and shipped a production-ready Job Application Tracker end-to-end: REST API with 5-stage workflow, pagination, sorting, and dynamic filtering — full ownership from design to live cloud deployment on DigitalOcean.
- Implemented production-grade identity management: OAuth 2.0 / OpenID Connect / JWT / RBAC via Keycloak, applying Hexagonal Architecture and DDD principles.
- Built automated CI/CD pipeline (GitHub Actions); containerised with Docker; Nginx reverse proxy with path-based routing and SSL termination.
- Developed a Chrome Extension (Plasmo framework, Manifest V3) that auto-fills job applications directly from LinkedIn into the tracker — demonstrates full product thinking across backend API and browser client.
Steven M.
Last position:
Freelance Trainer at TĂśV Rheinland Akademie
- Practical seminar “Generative AI in Software Development”
- Mobile apps and cloud computing
- Internet of Things, smart home, and consumer healthcare
- The future of mobile communication
Discover over 15,000 top freelancers
Statistics of experts using JUnit
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 19 years)
Position duration
1.8 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, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
48% (Germany: 51%)
Certifications per freelancer
2
Most common languages
German, English, Hindi
Speak two or more languages
94% (Germany: 96%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin 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 19 Sep 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 (47%)
- Retail (38%)
- Automotive (34%)
- Healthcare (31%)
- Media and Entertainment (31%)
- Government and Administration (31%)
- Telecommunication (31%)
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 verify business logic, APIs, services and integration points through repeatable automated tests. JUnit 5 is the current generation, built around the JUnit Platform, Jupiter programming model and Vintage support for older tests.
Core test work
JUnit specialists create focused unit tests and broader integration suites that expose defects before release. They use assertions, test fixtures, lifecycle methods and parameterized tests to cover expected behavior, edge cases and failure paths without making suites slow or fragile.
Ecosystem and tooling
JUnit rarely works alone. Strong expertise usually includes:
- Mockito or other mocking tools for isolated unit tests
- Spring Boot Test for application-context and web-layer checks
- Maven or Gradle for repeatable test execution
- JaCoCo for coverage analysis and quality reporting
- CI tools that run tests on every relevant change
Where companies use it
JUnit supports Java systems in finance, commerce, logistics, healthcare and public services. It appears in REST APIs, event-driven services, batch processing, database integrations and modular backends. In Berlin, teams may need specialists who can work remotely or join on-site delivery while documenting decisions clearly in English or German.
When to bring in expertise
Companies often seek freelance JUnit expertise when a test suite is unreliable, coverage is uneven or a release pipeline takes too long. Specialists can establish testing conventions, modernize JUnit 4 suites to JUnit 5, add missing integration coverage and connect tests with delivery gates. They also help teams test legacy code without blocking feature work.
What strong specialists bring
Effective JUnit professionals understand the product behavior behind each test. They separate unit, integration and end-to-end concerns, choose realistic test boundaries and avoid brittle checks tied to implementation details. Look for clear test names, deterministic execution, useful failure messages and practical judgment about what should be tested, mocked or left to higher-level checks.
Frequently asked questions
Need clarity? These are the questions we hear most often about JUnit.
JUnit is used to automate tests for Java software, from small units of business logic to larger integration scenarios. It helps teams detect regressions, document expected behavior and run quality checks consistently during development and delivery.
JUnit 5 uses the JUnit Platform and separates the platform, Jupiter programming model and Vintage support. It offers a more extensible architecture, improved parameterized testing and clearer support for modern Java test suites, while JUnit 4 remains common in legacy systems.
A strong JUnit specialist usually works with Java build tools such as Maven or Gradle, mocking libraries such as Mockito and CI pipelines. Experience with Spring Boot Test, REST testing, databases and test coverage tools is also valuable when the work extends beyond isolated unit tests.
A JUnit project needs enough experience to match its test scope and technical risk. A small unit-test cleanup may need focused framework knowledge, while a migration, flaky-suite investigation or integration strategy calls for someone comfortable with build systems, architecture and legacy code.
Yes. JUnit work is well suited to remote collaboration because tests, build files and CI results can be reviewed in shared repositories. Berlin teams should agree on working hours, documentation standards and whether English, German or both are needed for coordination.
JUnit and TestNG both support automated testing for Java applications. The better choice depends on the existing codebase, extension needs, team conventions and build setup; a specialist should assess migration effort and ecosystem fit rather than treat either framework as universally superior.
Review whether JUnit tests are deterministic, readable and aligned with meaningful product behavior. Good work separates unit and integration concerns, avoids unnecessary mocks, explains failures clearly and runs reliably in the same CI environment used for delivery.
JUnit integrates closely with Spring Boot Test for context loading, web-layer checks, data access tests and full application integration scenarios. The specialist should control test scope carefully so that fast unit tests remain separate from slower tests requiring containers, databases or external services.
The average hourly rate of freelancers in Berlin, Germany who have used JUnit in their recent projects is 85 €, which corresponds to a daily rate of about 683 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used JUnit in their recent projects, 100% hold at least a Bachelor's degree and 48% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used JUnit in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used JUnit in their recent projects are German (94%), English (94%), and Hindi (13%).
The most common industries among freelancers in Berlin, Germany who have used JUnit in their recent projects are Information Technology (100%), Banking and Finance (47%), and Retail (38%).
The most common business areas among freelancers in Berlin, Germany who have used JUnit in their recent projects are Information Technology (100%), Product Development (97%), and Quality Assurance (72%).
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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Munich 
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Stuttgart 
Dusseldorf 
Nuremberg Request a free demo
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