JUnit Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who design maintainable unit and integration tests, work with Spring Boot and Mockito, and strengthen CI pipelines for Java applications. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used JUnit
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as frontend framework and Java as backend language
- Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with web interface and JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
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.
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
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.
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
Mathias V.
Last position:
Fullstack AI Engineer at Ammodia.com
Developed a custom Kotlin Multiplatform app with a Spring backend and AI features.
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.
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
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 (Germany: 3)
Most common languages
German, English, Hindi
Speak two or more languages
94% (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 Berlin 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 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 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 (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 the standard testing framework for Java applications. It lets teams express expected behavior as repeatable tests, run them automatically, and detect regressions before code reaches production. Its annotations, assertions, test lifecycle, and extension model support focused unit tests as well as broader automated checks.
Where it fits
JUnit tests appear in backend services, APIs, batch jobs, libraries, and enterprise applications. They validate business rules, edge cases, error handling, data transformations, and service boundaries. Teams also use them as executable documentation for important Java behavior.
- Unit-test domain and service logic
- Verify REST controllers and application flows
- Cover persistence with integration tests
- Protect refactoring with regression suites
Ecosystem and tooling
Strong JUnit work usually connects the framework with Maven or Gradle, IDE test runners, and CI systems. Professionals may combine JUnit 5 with Mockito for isolated tests, AssertJ for readable assertions, Testcontainers for realistic dependencies, and Spring Boot testing support for application contexts and web layers.
When specialists help
Companies bring in freelance expertise when test suites are slow, fragile, incomplete, or difficult to understand. A specialist can establish a testing strategy, migrate older JUnit 4 suites to JUnit 5, improve coverage of critical paths, and integrate reliable checks into delivery pipelines. Berlin teams may also value professionals who can collaborate on-site or remotely across German and English-speaking projects.
What quality looks like
Good tests are deterministic, focused, readable, and valuable when they fail. Experienced professionals separate unit, integration, and end-to-end concerns instead of mocking everything or relying on large, slow suites. They review test names, fixtures, failure messages, isolation, and maintenance cost alongside the production code.
Skills to assess
Look for practical experience with Java build lifecycles, object-oriented design, dependency injection, and CI diagnostics. Useful evidence includes a clear approach to test boundaries, handling asynchronous code, database isolation, external service stubs, and flaky-test investigation. Ask specialists to explain why a test belongs at a particular level and how they would keep feedback fast as the codebase grows.
Frequently asked questions
Need clarity? These are the questions we hear most often about JUnit.
JUnit is used to automate checks for Java code, from small unit tests to integration tests that verify several components together. It helps teams catch regressions, document expected behavior, and run consistent checks in local development and continuous integration.
JUnit 5 introduces a modular design, the Jupiter programming model, improved extension support, and more flexible test lifecycle features. JUnit 4 remains common in older codebases, so a specialist may need to maintain both versions or plan a staged migration.
A strong JUnit specialist usually understands Java, Maven or Gradle, and CI pipelines. Mockito, AssertJ, Spring Boot Test, Testcontainers, REST testing, database fixtures, and code coverage tools are also useful depending on the application.
The right level depends on the risk and condition of the codebase, not on a fixed duration. A small feature may need focused test implementation, while a legacy migration or unstable suite calls for someone who can set boundaries, diagnose failures, and improve the wider test strategy.
JUnit work is well suited to remote collaboration because tests, build files, and CI results are easy to review asynchronously. Teams in Berlin should agree on repository access, review practices, working hours, and whether German or English is required for documentation and communication.
JUnit is the default choice for many modern Java projects and has broad IDE, build-tool, and framework support. TestNG offers features such as suite configuration and grouped tests that may suit particular legacy or specialized projects, so the existing ecosystem and migration cost should guide the decision.
A company may need JUnit expertise when releases depend on manual checks, failures are hard to reproduce, or tests pass locally but fail in CI. Other warning signs include slow suites, excessive mocking, poor coverage of critical rules, and a large backlog of ignored or flaky tests.
Ask a JUnit professional to explain test boundaries, failure diagnostics, isolation, and the trade-offs between unit and integration tests. Review whether the suite is readable, deterministic, fast enough for development, and connected to meaningful business risks rather than only pursuing a coverage target.
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 680 € 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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Dusseldorf 
Essen 
Nuremberg Request a free demo
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FRATCH CEO
