Jasmine Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Jasmine
Alexander Schwartz
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
Roxana Girdu
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
Boris Nicolai
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
Daniel Redwig
Last position:
Software Engineer at DB InfraGO AG
- Developed 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
Bela Bocsak
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 Hamberger
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 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))
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: 41%)
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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Test focus
Jasmine is a testing framework for JavaScript code. Teams use it to check business logic, UI behavior, and service functions in browser apps and Node.js projects. It is known for a clear syntax, readable expectations, and a style that keeps tests close to the code they protect.
Where it fits
Jasmine often appears in front-end test suites, legacy Angular work, and Node.js services.
- Unit tests for functions and modules
- Behavior checks for browser features
- Mock-driven tests for API calls
- Regression coverage during refactors
Tooling around it
Strong specialists know the wider JavaScript test stack, not just Jasmine itself. They work with spies, stubs, fixtures, async assertions, and test runners such as Karma, BrowserStack-based flows, or Node test setups. They also read source structure well enough to keep tests small and reliable.
When to bring help
Companies usually look for freelance Jasmine expertise when a codebase has weak coverage, flaky tests, or old suites that are hard to maintain. It is also useful during migrations, when teams need to keep release risk low while changing front-end frameworks or modularizing services. In Munich, this often matters in product teams that want on-site workshops with remote follow-up.
What good experts do
A strong Jasmine professional writes tests that describe behavior, not implementation noise. They spot bad mocks, manage async code cleanly, and keep assertions focused. They also understand when to keep Jasmine and when to pair it with a runner or broader testing toolchain for better coverage.
Signals to review
Look for experts who can explain failures clearly and improve test design, not only add more specs.
- Clear naming and readable expectations
- Stable handling of async code
- Good use of spies and mocks
- Practical knowledge of JavaScript app structure
- Ability to update old specs without breaking releases
Frequently asked questions
Quick answers to the questions that come up most around Jasmine.
Jasmine is used to test JavaScript behavior in a simple, readable way. Teams rely on it for unit tests, browser checks, and service-level specs where they want clear expectations and fast feedback. It is common in codebases that need reliable regression coverage without a heavy setup.
Jasmine is often chosen when teams want a self-contained testing style with built-in assertions, spies, and mocking support. Jest adds a larger all-in-one experience, while Mocha is more flexible but usually needs more pieces around it. The right choice depends on the existing stack and how much test infrastructure is already in place.
A strong Jasmine specialist should also know modern JavaScript, async patterns, and test design. In many projects, Angular familiarity, DOM testing, and mock-based API testing matter as well. For Node.js work, understanding module structure and dependency isolation is just as important.
A project often needs Jasmine help when tests are flaky, coverage is uneven, or old specs are hard to trust. Freelance support is also useful during framework changes, large refactors, or when a team wants to raise quality without slowing delivery. In practice, the best time is before broken tests start blocking releases.
Yes, Jasmine work fits both remote and on-site collaboration. Many teams in Munich use a hybrid setup, especially when test design needs close input from product and engineering specialists. Remote sessions work well for writing specs, but workshops can help when a codebase needs deeper cleanup.
A strong Jasmine specialist can explain why a test exists and how it protects the code, not just show a long list of specs. Look for clean assertions, good mocking judgment, and the ability to keep async tests stable. Practical examples from real JavaScript projects matter more than theory.
Jasmine can still be a solid choice for new code when the team values simple syntax and direct control over test behavior. It is especially comfortable in JavaScript projects that do not need a very opinionated test runner. For some teams, however, Jest may fit better if they want a broader out-of-the-box setup.
A good Jasmine freelancer usually delivers test suites, refactored specs, and fixes for unstable or slow tests. They may also document testing patterns, improve mock setup, and help the team standardize how new tests are written. The best output is code that is easier to trust and maintain.
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 751 € 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.
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