Jasmine Expert in Munich
for reliable JavaScript tests, matched in minutes with vetted freelancersHire experts who build clear Jasmine test suites, configure browser and Node.js test workflows, and connect unit tests with modern JavaScript applications. Get precise matching with vetted, available freelancers who can support your project quickly.
Meet FRATCH Experts in Munich, who have recently used Jasmine
Daniel R.
Last position:
Software Engineer at DB InfraGO AG
- Development of dynamic web components for displaying KPIs, intelligent map applications, and operational process analysis tools
- Angular 18+
- Leaflet, MapLibre
- NestJS, JavaScript, HTML, CSS
- PostgreSQL, GraphQL, RabbitMQ
- Gitea, Jenkins, Docker
Roxana G.
Last position:
Freelance Senior Frontend Developer at RHI Magnesita
- Designed and developed a high-performance internal resource management platform using React and TypeScript, optimizing dynamic data rendering and state management.
- Built a React Native application to support mobile access to internal tools, enabling on-the-go project tracking for field teams.
- Developed custom 2D canvas-based visualizations using Pixi.js to simulate material flows and refractory layer behaviors.
- Integrated Pixi.js with React components for interactive diagrams and real-time UI updates.
- Developed interactive 3D visualizations using React.js for displaying refractory product layouts and simulations, supporting engineering and sales teams with dynamic product previews.
- Integrated Three.js within the React ecosystem to allow manipulation of 3D models in real-time via browser, enhancing user engagement and field configurability.
- Integrated a headless CMS to enable dynamic content updates by non-technical users, reducing content deployment time by 40%.
- Led AWS CloudFront optimization initiatives, improving portal load speeds by 30% globally.
- Actively collaborated with cross-functional Agile teams and product owners to deliver prioritized features with a fast feedback loop.
- Key Technologies: React.js, React Native, Three.js, TypeScript, Contentful CMS, AWS S3/Lambda/CloudFront, Cypress, Agile Scrum
Alexander S.
Last position:
Founder and Full-Stack Developer at TrumpPostAlert.com
- Feasibility study for quick implementation of requirements with AI-based development (vibe coding)
- Development of a single-page web app in Angular 20
- Development of a backend server application in Kotlin
- Integration with Google Cloud Platform (Firebase): authentication, Firestore NoSQL database, storage, Cloud Functions, hosting and Cloud Run
- Integration with a NEON PostgreSQL database
- Automated AI-based analysis of Donald Trump's posts on Truth Social and analysis of relevance for stock markets and geopolitical topics
- CI/CD via GitHub Actions using Docker and Google Cloud Run
- Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA
Boris N.
Last position:
Fullstack Developer & DevOps Engineer at EnBW Energie Baden-Württemberg
- Further development of the internal "ECockpit" platform with an Angular 17 frontend and .NET (C#) backend
- Maintenance and further development of Azure DevOps pipelines
- Introduction of technical improvements in build & release processes
- Collaboration on a modular architecture approach (Clean Architecture & DDD)
- Focus on scalability and secure data processing
- Tech stack: Angular 17, .NET / C#, Azure, Azure DevOps, Git, CI/CD, Clean Architecture, Domain Driven Design
Bela B.
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Franz H.
Last position:
Software Developer at Roche Diagnostics GmbH
- Implementing microservices in C# using dapr and Docker for a system to exchange analysis requests and results between laboratory systems
- Implementing a test automation framework with C# and SpecFlow for this system
- Build and release management with GitLab
- Evaluating laboratory systems for extensibility (using Python) and integration
Janusz M.
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))
Discover over 15,000 top freelancers
Statistics of experts using Jasmine
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 19 years)
Position duration
1.4 years (Germany: 1.7 years)
Positions per freelancer
16 (Germany: 15)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
60% (Germany: 42%)
Doctorate
20% (Germany: 5%)
Certifications per freelancer
0 (Germany: 2)
Most common languages
German, English, Hindi
Speak two or more languages
100%
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 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 Jasmine
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.
Jasmine 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%)
- Automotive (71%)
- Banking and Finance (71%)
- Manufacturing (71%)
- Government and Administration (57%)
- Retail (57%)
- Insurance (43%)
- Media and Entertainment (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Jasmine fundamentals
Jasmine is a behavior-driven development framework for testing JavaScript and TypeScript applications. It runs without a browser, supports browser-based workflows through test runners, and uses readable specifications, expectations, spies and matchers to verify behavior. Teams often refer to it as Jasmine.js or Jasmine BDD.
Where Jasmine fits
Jasmine helps verify front-end interfaces, Node.js services, shared libraries and asynchronous application logic. Its clean syntax makes expected behavior visible to the whole team, while isolated specs help prevent regressions during refactoring.
- Test functions, services and modules in isolation
- Check promises, callbacks and asynchronous flows
- Verify Angular or other JavaScript application behavior
- Protect APIs, business rules and reusable packages
Ecosystem and tooling
Strong Jasmine work includes configuring the Jasmine runner, test environment and reporters. Professionals may combine Jasmine with Karma for browser execution, npm scripts for automation, TypeScript, Sinon-style test utilities, coverage tools and CI pipelines. They also understand module systems, fixtures, mocks and dependency boundaries.
When companies need specialists
Companies bring in freelance expertise when a JavaScript codebase has weak test coverage, unstable browser checks or a migration that needs dependable safeguards. In Munich, specialists may support product teams on site or remotely, coordinating with distributed groups in English or German. They can establish conventions that internal teams continue to use.
- Create a test strategy for an existing codebase
- Stabilize flaky specs and improve test isolation
- Migrate legacy Jasmine configurations
- Integrate tests into continuous delivery
What quality looks like
Effective professionals write focused specs that describe observable behavior rather than implementation details. They use spies and mocks carefully, clean up shared state, handle asynchronous execution explicitly and explain failures clearly. Good suites run quickly, remain readable and expose real regressions instead of merely increasing coverage.
Choosing the right fit
Review examples of Jasmine suites, configuration files and CI integrations, then discuss how the specialist approaches flaky tests and difficult dependencies. Ask how they would test your framework, build process and release risks. The right expert combines JavaScript fundamentals with practical test design and communicates trade-offs clearly.
Frequently asked questions
Quick answers to the questions that come up most around Jasmine.
Jasmine is used to test JavaScript and TypeScript behavior through readable specifications, matchers, spies and test suites. It can cover front-end components, Node.js services, libraries, asynchronous logic and business rules without requiring a browser for every test.
Jasmine provides an integrated behavior-driven testing style with built-in matchers, spies and a runner, so teams can start without assembling as many separate tools. Jest adds a broader bundled toolset, while Mocha is more minimal and often paired with external assertion and mocking libraries. The best choice depends on the existing framework, build system and team conventions.
A strong Jasmine professional should understand JavaScript or TypeScript, asynchronous programming, modules, npm workflows and CI automation. Experience with Angular, Karma, browser tooling, test doubles, code coverage and frontend build systems is also useful when Jasmine sits inside a larger application stack.
The required depth depends on the risk and condition of the codebase, not only its size. Jasmine work for a focused suite may need a specialist who can write clear specs and configure the runner, while a legacy migration or flaky test program calls for deeper knowledge of isolation, asynchronous failures and build pipelines.
Jasmine projects are well suited to remote collaboration because test suites, configuration and CI results can be reviewed in shared repositories. A Munich team should agree on working hours, documentation standards and whether English or German is preferred, especially when the specialist works with an on-site product group.
Look for focused specifications, meaningful expectations, reliable asynchronous handling and tests that describe behavior rather than private implementation details. A quality Jasmine suite gives useful failure messages, avoids unnecessary mocks, cleans up shared state and runs consistently in local and CI environments.
Jasmine.js can test TypeScript applications when the project provides suitable transpilation, module handling and runner configuration. The specialist should be comfortable aligning Jasmine with the framework, compiler settings, browser or Node.js environment and source-map setup so failures point to useful source locations.
A Jasmine BDD specialist can organize an unclear test suite, reduce flaky specs, repair broken runner configuration and add coverage around risky business logic. They can also connect tests to continuous integration, improve test doubles and document conventions so the internal team can maintain the suite after the engagement.
The average hourly rate of freelancers in Munich, Germany who have used Jasmine 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 Munich, Germany who have used Jasmine in their recent projects, 100% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Jasmine in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Munich, Germany who have used Jasmine in their recent projects are German (100%), English (86%), and Hindi (14%).
The most common industries among freelancers in Munich, Germany who have used Jasmine in their recent projects are Information Technology (100%), Automotive (71%), and Banking and Finance (71%).
The most common business areas among freelancers in Munich, Germany who have used Jasmine in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used Jasmine
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.
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Cologne Request a free demo
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Philipp Thomaschewski
FRATCH CEO
