Gatling Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Gatling
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.
Ayhan Gezer
Last position:
Senior QA Engineer / Test Automation Engineer / SDET at Rewe digital
Consulting, designing, and implementing the software testing lifecycle for multiple Android apps and backends Introducing test automation with Appium, SpringBootTest, RestAssured Setting up and managing emulators Developing an E2E library, an integration library, a Testcontainers library, and other libraries Developing, implementing, and advising on CI strategies Building the test environment with Testcontainers and virtualization Developing and implementing test cases for integration tests and end-to-end tests Establishing a maintainable test architecture with low entry barriers to simplify the creation of automated tests Some tools and technologies used: JUnit, RestAssured, Testcontainers, Kubedock, Appium, Android emulator, Jira Xray, Mockito, WireMock, Spring Framework, Kotlin
Tobias Jaeuthe
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Nikhil Gyamlani
Last position:
Co-founder / Solution Architect at Lima Care GmbH
- Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
- Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
- Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
- Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
- Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
- Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
- Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Frederik Claus
Last position:
Freelance Fullstack Software Developer at Bundesdruckerei GmbH
Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)
Implementation of user stories in multiple microservices (front- and backend)
Ensuring quality with unit, integration, and end-to-end tests
Conducting code reviews
Coordination with other development teams
Taking over software license checks and simplifying the process
Responsible for implementing and documenting domain logging
Setting up a development environment with Docker Compose
Esmail Saberi
Last position:
Senior Load and Performance Tester at Deutsche Bahn (DB-Netz)
- Design, development, and execution of load and performance tests for the PRISMA project
- Use of Apache Jmeter, Gatling, Apache ActiveMQ, Jms/Tibco Ems, SikuliX, Jython, Amazon AWS, PAN-Client
- Methods: load tests, test automation
Leif Stolberg
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Knud Werner
Last position:
Lead Programmer, Architect and Deputy Product Owner at Bundesagentur für Arbeit
- Lead programmer, architect and deputy product owner
- Completed transition from zPDV to STEP
- Ensured quality of C++ and Perl sources through automated and manual checks
- Supported resolution of incidents and errors in testing
- Implemented batch for supplementary assignment of payment run numbers
- Implemented batch for distribution of SGB 2 information to the central payment unit
- Supported replacement of Solaris with Linux
- Upgraded gcc from 7.4 to 9.3
- Programmatically generated Makefiles from Borland projects for builds
- Extended funding data with new attribute “internship travel cost indicator”
- Programmatically generated XSD and WSDL files from IDL definitions
- Represented the product owner when needed
- Implemented batch for one-time payment processing
- Developed generator for Liquibase files
- Implemented and maintained regular anonymization of production data
- Supported migration from SLES 12 to SLES 15
- Supported introduction of mutual TLS
- Implemented batch for sending deletion impulses to EDA BE
- Organized script directory structure
- Investigated potential introduction of String-Latin and implemented minimal solution
- Remediated security findings identified by CheckMarx
- Supported PAP recalculations and general change notices
- Converted ERP interfaces from SOAP to REST
- Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle
Ioan Dobre
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, mortgage financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS consumer pacts with Finagle.
- CiL SCS touch point architecture integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, GitLab, JIRA, Confluence, git, Spring 6.0, Spring Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, IntelliJ IDEA, Wicket 9 and 10, Istio.
Jan Mönnich
Last position:
Interface project at HR Solutions GmbH for Rhineland-Palatinate / BAMF at HR Solutions GmbH
- Developed an adapter from the central foreigner register to an internal application
- REST, JSON, OpenAPI, Spring Boot, Vue, Java, Maven, XAusländer
- Jira/Confluence/GitHub, Scrum+Kanban
Timo Külbel
Last position:
Senior Fullstack Developer
- Lead Developer / Tech Lead in a large banking group for a complete redevelopment of payment systems
- Rebuilding payment processing in stream processing
- Development and design of cross-border payment stream processing based on Kafka and Kafka Streams
- Development of different input formats for the business team using Drools rules to dynamically adjust validation rules
- Evaluation and comparison of different public cloud providers regarding the databases they offer
- Technologies & Tools: Java 21, Kotlin, Spring Boot, Kafka, Kubernetes, Azure, TDD, JEE, REST, Angular, Spark, Google Cloud, SCDF, PostgreSQL, Drools, Git, S3, MongoDB
Radoslav Yankov
Last position:
Senior Software Engineer at Radoslav Yankov – Software Engineering
Discover over 15,000 top freelancers
Statistics of experts using Gatling
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.8 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
80%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, Bulgarian
Speak two or more languages
92%
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 Gatling
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 for real systems
Gatling is a performance testing tool for APIs, web services, and event-driven systems. It helps teams see how software behaves under load, where latency starts, and which endpoints fail first.
- HTTP and API load tests
- stress and soak tests
- scenario-based user journeys
- performance checks for CI pipelines
What strong specialists deliver
Strong Gatling specialists turn business flows into repeatable test scripts. They define realistic users, payloads, pacing, and assertions so results reflect production behavior, not just raw traffic.
They also read reports carefully, connect findings to backend code paths, and explain where tuning matters most.
Ecosystem and tooling
Gatling is often used with Scala, Maven, Gradle, and CI tools such as Jenkins or GitHub Actions. In many teams, it runs against REST APIs, authentication flows, queues, and services behind gateways.
- Scala DSL and reusable scenarios
- feeders for test data
- assertions and checks
- HTML reports and trend comparison
When companies bring in freelance help
Companies usually look for freelance experts when load testing is needed for a release, a migration, or a growing platform. A specialist can set up the test model, stabilize flaky scripts, and make results useful for the team.
This is especially valuable in Germany when delivery teams need remote support, but still want clear communication and careful handover.
Common comparison points
Gatling is often weighed against JMeter or k6. It stands out when teams want code-based test design, strong control over scenarios, and readable performance tests that fit software delivery workflows.
That makes it a good choice for backend teams that prefer tests under version control and clean integration into automated pipelines.
What to look for
Good Gatling professionals understand system behavior, not just the tool. They know how to choose workloads, spot weak assertions, and separate application issues from test design mistakes.
Look for clear reports, sensible naming, reusable test structure, and the ability to explain results to both technical and non-technical stakeholders.
Frequently asked questions
What clients ask us most about Gatling — answered in short.
Gatling is used to test how APIs, services, and user flows behave under load. Teams use it to find slow endpoints, verify stability before releases, and check whether changes affect response times. It is especially useful when performance needs to be part of the delivery process, not an afterthought.
Gatling is often chosen when a team wants code-based test design and strong control over scenarios. JMeter is broader and more GUI-driven, while k6 is popular for lightweight scripting and cloud-friendly workflows. The best choice depends on how your team works and how much structure you want in test code.
A strong Gatling freelancer should know Scala, HTTP behavior, and how backend systems react under load. Useful adjacent skills include CI pipelines, API design, logging, and basic performance analysis. They should also be able to explain why a test result matters, not just generate charts.
Gatling work can be small, such as building one test suite, or larger, such as shaping a full performance test strategy. For focused tasks, a specialist with hands-on delivery experience is often enough. For broader work, look for someone who has tested APIs, microservices, and production-like scenarios end to end.
Yes, Gatling specialists often work well remotely, because most tasks involve code, test data, and result analysis. For teams in Germany, remote cooperation usually works if goals, systems, and handover steps are clear. On-site support can help during workshops or release preparation, but it is not always required.
Ask which protocols and systems the Gatling expert has tested, how they design workloads, and how they validate results. You should also ask how they handle authentication, test data, and reporting for developers and stakeholders. Good answers show practical judgment, not just tool knowledge.
A high-quality Gatling suite is readable, reusable, and tied to real user behavior. It uses clear scenarios, realistic data, stable checks, and reporting that helps teams act on the findings. If the suite is hard to maintain or the results are vague, the setup needs work.
Gatling is best known for HTTP and API testing, but that is only part of many delivery setups. It can also be used to exercise authentication flows, gateways, and service interactions that sit around the main request path. If your system depends on HTTP behavior, it is often a strong fit.
The average hourly rate of freelancers in Germany who have used Gatling in their recent projects is 96 €, which corresponds to a daily rate of about 771 € based on an 8-hour working day.
Of the freelancers in Germany who have used Gatling in their recent projects, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Gatling in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used Gatling in their recent projects are German (100%), English (83%), and Bulgarian (8%).
The most common industries among freelancers in Germany who have used Gatling in their recent projects are Information Technology (100%), Automotive (58%), and Banking and Finance (58%).
The most common business areas among freelancers in Germany who have used Gatling in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (92%).
Main locations of FRATCH Experts, who have recently used Gatling
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
