Cucumber Experts in Munich
in minutes with vetted specialists and AI matchingHire experts who write clear Gherkin scenarios, automate acceptance checks, and keep BDD suites stable across Java, JavaScript, and .NET stacks. They also fit well with CI pipelines, test data setup, and cross-team delivery in Munich. Fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Cucumber
Martin Petermann
Last position:
Business Analyst and Test Manager at ProSiebenSat.1 Tech & Services GmbH
- Analysis of affected business processes taking numerous stakeholders into account
- Interface analysis, architecture and system design
- Communicating and coordinating various subprojects and interface partners
- Creating epics and user stories, maintaining the backlog, workshops and review presentations
- Support during implementation between business departments and development
- Test management including strategy and approach definition
- Test case definition, execution and approval
- Cross-team organization of integration and acceptance tests
- Support of test environments
- Technologies and tools: Java, Angular, Kubectl, REST, AWS SNS/SQS, Kafka, S4/HANA, Bruno
Marco Toscano
Last position:
Scrum Master at Siemens Energy
- Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
- Planning and delivering trainings in agile methods
- Facilitating workshops and Scrum events
- Removing impediments
- Increasing sprint performance
Martin Moser
Last position:
Test automation for trading software at Martin Moser IT Consulting GmbH
- Set up GUI test framework for testers and developers to easily create GUI tests
- Implemented automated GUI tests with QF-Test for stock trading software and PDF file comparisons
- Created comparison runs between different versions
Used technologies: QF-Test, Java, Jython
Johannes Engel
Last position:
E2E Test Manager / Technical Project Lead at Sky Media GmbH
Iterative test planning
Providing test infrastructure
Resource planning
Test design
Coordination of test teams
Defect management
Release management
Project planning
Cohort planning
Test planning
Test execution
Trial test planning
Rollout
Business analysis
Requirements engineering
Change management
E2E test coordination
Celso Kurrle
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
Alexandre Savio
Last position:
Cloud Engineer at Dectris AG
- Build a scalable multi-region backend service in AWS to serve remote desktop virtual machines for scientific analysis
- Stack: AWS, GitHub, Terraform, Python, Rust
- Built and defined the core infrastructure of the backend system
- Defined and coded the virtual machines provisioning supporting Ubuntu and Rocky Linux desktop setups
- Programmed the API service running in ECS to manage virtual machines and build custom Docker images for users
Vitor Rodrigues
Last position:
Test Coordinator Automation at Pro4all
- Designed and built from scratch the automation framework using Playwright, Typescript, JavaScript, Gherkin, Cucumber, BDD, Maven, IntelliJ IDEA
- Defined, developed and maintained test plans, test scripts, reports and other QA documentation in Confluence
- Created and maintained test data with SQL Server Management Studio, Toad and Faker.js
- Performed web services and API testing using Swagger Open API, SoapUI, JSON, HTML and XML
- Executed functional, smoke, regression, black box, GUI, cross-browser, UAT and E2E testing using CrossBrowserTesting and Safari Web Inspector
- Integrated and maintained automated scripts within sprints following Kanban, CI/CD, GitHub, Docker, Azure Pipelines, Agile, Scrum, Kafka and Kibana
- Raised and managed defects in Azure DevOps
- Conducted mobile testing with Robot Framework and Appium
Christof Nasahl
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
Christoph Schrall
Last position:
State Ministry for Food, Agriculture and Forestry
- Development of the Ibalis portal and payment process for applying and paying out EU subsidies.
- Publicly accessible portal, e.g., for farmers.
- Projects in the last ten years were carried out using Scrum.
- Technologies: Spring, Wicket, Hibernate, Postgres, JSON, XML, REST, Bitbucket, Podam, Buckets, JUnit, Gradle, IntelliJ, Bamboo, Swagger.
Janusz Mazurek
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Ludmila Kof
Last position:
Math Tutor at Mathematik Online Nachhilfe
- Analysis
- Probability and statistics
- Analytic geometry
- Abitur preparation
Adithya Balaji
Last position:
Edge AI Software Engineer at Neura Robotics GmbH
- Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
- Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
- Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
- Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
- Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.
Discover over 15,000 top freelancers
Statistics of experts using Cucumber
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 19 years)
Position duration
2 years (Germany: 1.9 years)
Positions per freelancer
15 (Germany: 13)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Quality Assurance, Project Management
Bachelor's degree or higher
88%
Master's degree or higher
75% (Germany: 47%)
Doctorate
13% (Germany: 9%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, Spanish
Speak two or more languages
100% (Germany: 98%)
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 Munich 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 Munich using Cucumber
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
BDD scenarios
Cucumber is used for behaviour-driven development and executable specifications. Teams write scenarios in plain language with Gherkin, then connect them to code that checks real application behaviour. It helps product, QA, and engineering stay aligned on what should happen.
What it covers
- Acceptance criteria written as living documentation
- End-to-end and API checks for business flows
- Regression coverage for critical user journeys
- Shared scenarios for cross-functional delivery
It is often chosen when requirements must stay readable for non-technical stakeholders while still running as automated tests.
Ecosystem fit
Cucumber commonly works with Java, JavaScript, TypeScript, Ruby, and .NET. Strong specialists know step definitions, hooks, tags, data tables, and test runners such as JUnit, TestNG, or Playwright-based setups. They also understand how to keep feature files clean and reusable.
When companies need help
- A test suite has become brittle or duplicated
- Feature files no longer reflect current product behaviour
- Teams need BDD structure for a new product area
- Automation must fit into an existing CI pipeline
In Munich, Cucumber work often supports enterprise software, mobility products, fintech, and other teams that need clear acceptance checks and close collaboration across roles.
What good specialists do
Strong professionals focus on business value, not on writing more steps. They design scenarios around rules and outcomes, keep wording consistent, and avoid technical noise in feature files. They also know when a check belongs in Cucumber and when a lower-level test is the better choice.
Working style
Cucumber projects usually benefit from short feedback loops and direct access to product knowledge. Remote collaboration works well when experts can review stories, refine scenarios, and pair with the team on step design. On-site time can help when local stakeholders in Munich want fast agreement on terminology, workflows, and acceptance rules.
Frequently asked questions
What clients ask us most about Cucumber — answered in short.
Cucumber is used to express expected behaviour in plain language and turn it into automated checks. Companies use it for acceptance criteria, regression coverage, and shared understanding between business and technical teams. It is especially useful when the same scenarios should guide both delivery and testing.
Cucumber is the tool, while BDD is the working style behind it. Gherkin is the language used to write feature files, with Given/When/Then steps that stay readable. In practice, teams often talk about Cucumber BDD because the three are closely linked.
Cucumber is not a browser automation tool on its own, so it is usually combined with something like Playwright or Selenium. Its strength is the readable scenario layer and the link to business rules. If you only need UI automation without behaviour-focused collaboration, a direct test framework may be simpler.
A strong Cucumber specialist should know Gherkin, step definitions, hooks, tags, and test design basics. Helpful adjacent skills include Java, JavaScript, TypeScript, or .NET, plus CI tooling and API testing. They should also be able to discuss requirements with product and QA teams in clear language.
A good Cucumber professional needs enough context to understand business rules, user flows, and test boundaries. Without that, feature files become vague or overly technical. The best results come when the expert can review real scenarios, not just implement steps from a checklist.
Yes, Cucumber often works very well remotely because scenarios can be reviewed in short sessions and tracked in shared docs or tickets. Remote work is especially effective when the team already has clear product ownership and access to test environments. In Munich, hybrid setups are common when local workshops help align terminology first.
If Cucumber files repeat the same steps, fail for technical reasons, or no longer match the product flow, they need attention. Other signs are too many vague scenarios, brittle step reuse, or feature files that nobody reads. A skilled specialist will simplify the suite and remove noise before adding more coverage.
Look for Cucumber work that shows clear scenario design, stable step structure, and a focus on business outcomes. Good answers mention maintainability, not just automation volume. A strong specialist can explain what belongs in feature files, what belongs in lower-level tests, and why.
The average hourly rate of freelancers in Munich, Germany who have used Cucumber in their recent projects is 95 €, which corresponds to a daily rate of about 760 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Cucumber in their recent projects, 88% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used Cucumber in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Cucumber in their recent projects are English (100%), German (92%), and Spanish (42%).
The most common industries among freelancers in Munich, Germany who have used Cucumber in their recent projects are Information Technology (100%), Banking and Finance (75%), and Automotive (58%).
The most common business areas among freelancers in Munich, Germany who have used Cucumber in their recent projects are Information Technology (100%), Product Development (83%), and Project Management (75%).
Main locations of FRATCH Experts, who have recently used Cucumber
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.
Hamburg 
Cologne 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
