Jasmine Experts in Cologne
in minutes from over 15,000 CVs with the power of AIHire experts who write clear Jasmine specs, maintain stable unit and integration tests, and keep browser-based test suites readable as code changes. They work across Angular, React, Node.js, and legacy JavaScript projects, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Cologne, who have recently used Jasmine
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Hamdi Rajab
Last position:
Full-Stack AI Developer at Karray-Pflege GmbH
PFS-Matching-App
- Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
- Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
- Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes
Jens Hagemeyer-Lee
Last position:
#52 Test Manager in Safety-Critical Infrastructure at Telecommunications Company
- Network elements, network, operational and operator-related systems
- Supporting around 20 different products (managed agile)
- Requirements analysis and management (functional and non-functional)
- Test concept and planning (scope, test phases, effort, schedule, resources, organization, etc.)
- Aligning approach with clients and service providers
- Managing and assisting in creation of test cases for system, integration and end-to-end tests
- Guiding and supporting test execution
- Defect management and planning bug fixes with external providers
- Preparing and facilitating workshops
- Regular reporting and creating automated test reports
- Further development of agile testing methodology and configuration of supporting tools
- Conceptual support in developing a quality seal for rating product and service quality of internal and external providers
- Requirements engineering based on ISO/IEC 25010, Scrum, SaFE
- BMC Remedy, Atlassian Confluence, Atlassian Jira (including plugins Xray, Structure), Microsoft Office (incl. Visio), Obsidian, doxis document management system, Gitlab, Obsidian
Jacqueline Haefke
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Kay Odenthal
Last position:
Fullstack Developer at INIT GmbH
- Development of monitoring and control systems for public transport
- Development of a platform for real-time monitoring of passenger information and ticketing systems and an application for remote control and status monitoring of access systems
- Development of dynamic forms, complex tables, real-time dashboards (SignalR), and reusable components in the frontend (using Storybook)
- Implementation of REST interfaces in the backend
- Deployment to Microsoft Azure Cloud
- Technologies used: Angular 20, Angular Material 3, Dev Extreme, Storybook, C#/.NET 10
Sara Schönherr
Last position:
Senior Software Developer with a Focus on UI/UX at vGen GmbH
Development of an interactive prototype for the concept of an AI-supported Enterprise Architecture Management tool. The goal was to present complex relationships between IT systems, business processes, and departments in a way that is easy to understand and to support decision-making in the context of IT transformations.
The prototype combined data-driven analyses with guided questions and interactive visualizations. A central part was the integration of a RAG process to provide domain-specific EAM knowledge in context. The focus was on quick idea validation, user-centered interaction design, and the technical feasibility of a scalable overall concept.
Design, implementation, and validation of a RAG process for domain-specific EAM knowledge with Python, LangChain, and graph/vector databases (Neo4J, Milvus)
Business and technical requirements analysis as well as definition of an MVP
Development of the architecture and technology concept using Angular, Spring Boot, GraphQL, and Kubernetes
Design of an interaction concept and creation of a brand style guide with Figma
Development of interactive prototypes with Angular, Konva.js, and TypeScript
Integration of CI/CD processes with GitLab CI/CD
Discover over 15,000 top freelancers
Statistics of experts using Jasmine
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)
Position duration
1.3 years (Germany: 1.7 years)
Positions per freelancer
14 (Germany: 15)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Government and Administration
Certification focus areas
Information Technology, Human Resources, Product Development
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
80% (Germany: 41%)
Certifications per freelancer
2
Most common languages
German, English, French
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 Cologne 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 Cologne 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
Jasmine basics
Jasmine is a behavior-driven testing framework for JavaScript. It is used to check functions, services, UI logic, and async flows with readable specs and clear expectations. Strong specialists keep tests close to the code, so failures point to real issues and not noisy setup.
Where it fits
Jasmine shows up in frontend work, Node.js services, and older Angular projects that still rely on it as a default test layer. It is a good fit when teams want a simple syntax, no heavy runner opinion, and a test style that stays easy to read for long-lived codebases.
Typical work
- Write unit tests for JavaScript and TypeScript modules
- Test promises, callbacks, timers, and other async behavior
- Cover component logic in browser-based apps
- Maintain legacy Jasmine or Jasmine + Karma suites
- Refactor brittle specs into stable, focused tests
Tooling around it
A strong Jasmine specialist knows the surrounding stack, not just the syntax. That usually includes Karma, browser runners, spies, mocks, stubs, and CI pipelines in GitHub Actions, GitLab CI, or similar systems. In Cologne, this is often useful for teams that work in mixed local and remote setups and need clean handover notes.
When to hire
Companies bring in freelance Jasmine expertise when test suites slow down releases, when legacy specs break after framework updates, or when a new project needs a test structure from day one. They also hire for review work, migration support, and help aligning Jasmine with broader JavaScript testing standards.
What good looks like
Good professionals write tests that describe behavior, not implementation noise. They avoid fragile selectors, reduce duplication, and keep setup minimal so failures are easy to diagnose. They also understand when Jasmine is the right layer and when another tool should cover integration or end-to-end checks.
Frequently asked questions
Need clarity? These are the questions we hear most often about Jasmine.
Jasmine is used to test JavaScript behavior in a clear, readable way. Teams rely on it for unit tests, async logic, and browser-side code that needs stable specs. It is common in Angular and Node.js projects, and it also appears in older codebases that still run well on it.
Jasmine is often chosen for its built-in expectation style and straightforward setup. Compared with Jest, it is usually less opinionated and may need more surrounding tooling. Compared with Mocha, it offers a more complete testing experience out of the box, which some teams prefer for long-running codebases.
A strong Jasmine specialist should also know JavaScript or TypeScript, async patterns, mocking, spies, and browser-based test runners such as Karma. For frontend work, knowledge of Angular, React, or similar component models helps a lot. For service-side work, Node.js and CI basics matter too.
You do not need a large test suite to make hiring worthwhile. Jasmine expertise helps when a team is starting tests from scratch, cleaning up a weak suite, or stabilizing tests after changes to the app or framework. The earlier the standards are set, the less cleanup is needed later.
Yes. Jasmine work is usually easy to handle remotely because the deliverables are code, specs, and review notes. For teams in Cologne, on-site sessions can help at the start, but most follow-up work can be done in normal remote collaboration tools.
Jasmine projects often need help when tests are flaky, slow, or hard to understand. Another sign is heavy duplication in setup or too much reliance on implementation details. Strong specialists can usually make the suite smaller, clearer, and easier to maintain.
Jasmine can still be a solid choice when a team wants simple specs and already uses it well. It is especially practical in environments that value low ceremony or need to support existing test habits. For new projects, the best choice depends on the stack, build tools, and how the team plans to run tests.
Look for tests that read like behavior, not internal wiring. A good Jasmine professional explains why a test exists, uses clean mocks and spies, and leaves the suite easier to extend. You should also see sensible naming, stable async handling, and clear guidance on where the suite should go next.
The average hourly rate of freelancers in Cologne, Germany who have used Jasmine in their recent projects is 92 €, which corresponds to a daily rate of about 739 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Jasmine in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Jasmine in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Cologne, Germany who have used Jasmine in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Cologne, Germany who have used Jasmine in their recent projects are Information Technology (100%), Automotive (67%), and Government and Administration (50%).
The most common business areas among freelancers in Cologne, Germany who have used Jasmine in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (83%).
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
