Apache JMeter Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Apache JMeter
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.
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Anastasiia Komarenko
Last position:
Senior Test Automation Engineer at E.ON
- Reviewing functional and technical requirements from a testing perspective
- Creating test cases and automated tests to validate requirements
- Performing manual and automated functional, end-to-end, and regression tests
- Documenting test results and tracking defects
- Using models like GPT-4, BERT, and Hugging Face Transformers for automated test case generation, analysis of test results, and improving test coverage, including bias checks and security reviews
- Techs: MS Office, Jira, Zephyr, Confluence, Tosca, stakeholder communication, Agile, Kanban, Scrum, OpenAI API, Hugging Face, PyTorch, LangChain.
Marko Oršolić
Last position:
System Administrator in a 6-person Team at FITS
- System administration of FreeBSD 11, 12 and 13.1 in a secure cloud software solution
- Administration of proxy servers for FITS and its clients, banks and state banks
- Administration of secure internet solutions
- Administration of secure mail solutions and mail gateways
- Administration of Apache 2.4 web servers
- Planning and maintenance of servers and network components in FNT Command
- Incident, change and ticket handling, especially troubleshooting network issues using Splunk and ARS
- Troubleshooting and log file analysis using Splunk Enterprise
- Monitoring with Nagios
- Ordering, provisioning and installation of certificates on Apache web servers, Nginx web servers and load balancers
- Hardware: HP ProLiant DL380 Gen 9 and 10, Cisco Catalyst
- Software: FreeBSD 11, 12 and 13.2, FNT Command, shell scripts, MySQL databases, ServiceNow, ARS, Splunk Enterprise 8.15
Celil Uzunel
Last position:
ZÜRS Geo 2021 at adesso SE
- Frontend development
- Spring Boot
- Swagger
- Git
- GitLab
- SonarQube
- Docker
- Maven
- Java
- Angular
Rainer Diekmann
Last position:
Enterprise Architecture Management / Backend Software Developer at Polizei Hamburg
- Several projects in a police context
- Model and document police procedures/projects with Archimate (as-is/to-be) in the context of P20 (BKA)
- Create software architectures with microservices
- POC development with Springboot/Docker/Kubernetes
- Project size: 10 people
- Enterprise architecture management with Togaf and Archimate
- Backend software development Springboot
- DevOps with Kubernetes
- Implemented using: Java 17/21, Springboot 3, P20 architecture, Togaf, Archimate
Stefan Marx
Last position:
Bundesrechtsanwaltskammer
- Design, planning and execution of complex acceptance tests for a document exchange platform for the German justice authorities.
- Validation of decrypted and certificate-based message exchange via web platform, mobile app, and Java API.
- Documentation of test cases, execution steps, and test results.
- Technologies: Windows 11/10, Ubuntu, iOS, Android, Bash for Windows, Java 17, IntelliJ, Git, Jira, Confluence, Citrix Server, xJustiz standard implementation, specific justice software.
Mariam Amr Zayed
Last position:
Software Test Engineer at Sonnen Egypt
Nicole Fotso
Last position:
SAP FI Consultant & Test at DZB Bank
- Analysis and optimization of business processes in financial accounting
- Customizing in SAP FI (e.g. company codes, chart of accounts, payments)
- Integration with other modules such as CO, MM, SD
- Consulting on legal requirements (e.g. GoBD, UStG)
- Support with month-end and year-end closing
- Creation of test plans (system test, integration test, UAT)
- Definition of test cases (e.g. postings, payment runs, dunning runs)
- Selection of suitable test data and scenarios
- Manual testing of posting processes (e.g. customer invoice, payment run)
- Validation of automatic postings (e.g. for MM credit memo)
- Checking interfaces (e.g. to subsystems or non-SAP solutions)
- Documentation of defects in the test tool (e.g. Jira, ALM)
- Analysis and feedback to developers or the customizing team
- Retest after bug fixes
- E2E tests with SAP Solution Manager (SOLMAN)
- Use of tools such as SAP CBTA or Micro Focus UFT
Patrick Waldschmitt
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Wael Mansour
Last position:
Test Manager at Schwarz IT
- Design, planning, and test case analysis
- Integration testing
- Coordination of UAT in the lab and on site
- Creation of HW and SW test catalogs
- Communication of test results from REST services with the SAP team
- Support for branches in the EU until rollout
- Coordination of defect management and SW updates with the involved vendors
- Checking the configuration of the charging stations in the backend software for different countries
- Continuous reporting of the quality status to project management
- Documentation of the user manual in English and German
- Tools: Confluence, be.Energised, OCPP Postman, OPI, CCV (payone.elavon), Excel, it4you
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
Michael Sartori
Last position:
IT & Test Consultant at Testing Experts GmbH
AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing
- Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
- Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
- Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
- Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
- Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
- Planned use of the e-book as a basis for workshops, client presentations, or internal training.
- Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.
Adem Susam
Last position:
IT Consultant (Test Manager) & CEO at Trikolon Consulting GmbH
- Development and implementation of test concepts for complex, multi-layered systems
- Creation of regular management reports and presentations for stakeholders and clients
- Technical and disciplinary leadership of international test teams (coordination, coaching, resource planning)
- Responsibility for quality assurance across multiple test levels (unit, integration, system, and acceptance tests)
- Design of test cases and test plans in Azure DevOps; ensuring traceability and coverage
- Use of BDD approaches (Gherkin/Cucumber) to prepare test automation
- Building a test automation architecture with Playwright and integrating new tests into CI/CD pipelines
- Performing API tests (REST) and tests for mobile/PWA applications
- Setup and maintenance of test environments across multiple stages (integration, QA, UAT, pre-production)
- Test data management (synthetic and production-like data), ensuring consistency and reproducibility
- Collaboration with DevOps teams for containerization (Docker/OpenShift) and CI/CD integration
- Working under SAFe & Scrum, closely coordinating with product owners and DevOps teams
- Active participation in PI plannings, sprint reviews, and retrospectives
- Promoting an agile QA culture through coaching and knowledge sharing
- Introducing scalable test automation with Playwright → significant reduction of manual testing efforts
- Increasing test transparency through clean defect and reporting management in Azure DevOps
- Improved release quality through an end-to-end QA strategy and automated regression tests
- Strategic leadership of Trikolon Consulting GmbH and responsibility for finance, personnel, and business development
Knut Nickol
Last position:
Product Owner at Founding Phase
Development of a comprehensive web SEO tool from scratch. Product Owner, Vibe Developer, Tester
SEO, SEA, GEO, integrations: OpenAI, Google Search Console, PageSpeed API, Google Insight API, Google My Business, SerpAPI, payment provider API.
Claude Code, GIT, GitHub, PHP, MySQL, Alpine.js
Discover over 15,000 top freelancers
Statistics of experts using Apache JMeter
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.1 years
Positions per freelancer
15
Top business areas
Information Technology, Quality Assurance, Product Development
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Quality Assurance, Product Development
Bachelor's degree or higher
90%
Master's degree or higher
48%
Doctorate
6%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
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 Germany 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 Germany using Apache JMeter
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
Load testing
Apache JMeter is used to test how systems behave under real traffic. It helps teams simulate user journeys, API calls, and heavy request bursts before release. Strong specialists use it to expose slow endpoints, broken sessions, and weak capacity limits early.
What it covers
- Web applications and public APIs
- Login flows, checkout steps, and search paths
- Database, queue, and message endpoint checks
- Smoke tests for release pipelines
It is often chosen for HTTP, HTTPS, REST, SOAP, and other protocol-based checks where repeatable scripts matter.
Tooling around it
JMeter sits in a practical ecosystem of listeners, assertions, timers, CSV data sets, and test plans. Specialists also work with distributed execution, command-line runs, and result analysis in tools like Grafana or Jenkins-adjacent pipelines when teams need consistent reporting. The best people keep plans readable and easy to maintain.
When companies need help
Companies bring in freelance experts when performance problems appear late, release traffic is risky, or an in-house team needs a clean test setup fast. This is common for e-commerce, finance, SaaS, and other systems that must stay stable under bursty demand in Germany and across remote teams. Clear English test assets are often enough, but local collaboration can help with stakeholders and handover.
What strong specialists do
Strong professionals do more than record high load. They define realistic workloads, parameterize data, validate response content, and separate server limits from bad test design. They also know how to spot false bottlenecks, so the results can guide fixes instead of creating noise.
Good signs
A good Apache JMeter specialist can explain the test goal, the traffic model, and the success criteria in plain words. Look for clean naming, reusable components, sensible assertions, and a report that shows where the system slows down and why. If the project needs it, they should also be comfortable with CI runs and handover to the wider engineering team.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Apache JMeter.
Apache JMeter is used to test how a system behaves under load, stress, and repeat traffic patterns. Companies use it for web flows, APIs, and protocol-level checks before a release goes live. It helps reveal slow pages, unstable integrations, and weak capacity planning.
No. JMeter is widely used for HTTP and HTTPS, but it also supports many other protocol-driven checks. That makes it useful for APIs, queues, databases, and mixed enterprise systems where teams need repeatable performance tests.
Apache JMeter is often chosen when teams want a broad protocol set, a mature interface, and flexible test-plan building. k6 and Gatling are strong alternatives, especially for code-first workflows and modern CI setups. The right choice depends on the team’s scripting style, reporting needs, and how much reuse is required.
A strong Apache JMeter specialist usually understands HTTP basics, APIs, server logs, and performance analysis. Useful adjacent skills include scripting, CI pipelines, Docker, and a good grasp of how databases and caches affect response time. They should also know how to design realistic data and traffic patterns.
It depends on the goal. A simple smoke test or one-off load test may need only a specialist who can build a clean plan and explain the results, while a large performance programme needs deeper knowledge of distributed runs, correlation, and reporting. The key is not just using JMeter, but using it in a way that answers the business question.
Yes. Apache JMeter work is often done remotely because test plans, result files, and reports can be shared easily. For teams in Germany, remote collaboration works well when the scope, language, and handover format are agreed early. On-site time helps when many stakeholders need the same workshop or review session.
Look for a clear test strategy, not just a working script. A good JMeter expert can explain correlation, data handling, assertions, and how the test matches real user behaviour. The deliverable should include readable plans, useful results, and clear next steps for fixing what the test found.
Ask which traffic model they would test, how they handle dynamic data, and how they separate application issues from test setup problems. Also ask what they need from your team to run Apache JMeter cleanly, such as endpoints, access, logs, and success criteria. Good answers are specific and easy to verify.
The average hourly rate of freelancers in Germany who have used Apache JMeter in their recent projects is 92 €, which corresponds to a daily rate of about 738 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache JMeter in their recent projects, 90% hold at least a Bachelor's degree, 48% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Germany who have used Apache JMeter in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Apache JMeter in their recent projects are German (98%), English (98%), and French (24%).
The most common industries among freelancers in Germany who have used Apache JMeter in their recent projects are Information Technology (97%), Banking and Finance (64%), and Automotive (47%).
The most common business areas among freelancers in Germany who have used Apache JMeter in their recent projects are Information Technology (100%), Quality Assurance (89%), and Product Development (88%).
Main locations of FRATCH Experts, who have recently used Apache JMeter
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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