Gatling Experts in Germany
for fast, reliable performance testing with precise AI matchingHire experts who design realistic load models, automate Gatling simulations and interpret performance results across web, API and microservice systems. FRATCH connects you with vetted, available freelancers who match your technical needs quickly and precisely.
Meet FRATCH Experts in Germany, who have recently used Gatling
Knud W.
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 “Kennzeichen Fahrtkosten Praktikum”
- 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
Hooman B.
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.
Frederik C.
Last position:
Freelance Full-Stack 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 several microservices (frontend and backend)
Ensuring quality with unit, integration, and E2E tests
Conducting code reviews
Coordination with other development teams
Taking over the software license check and simplifying the process
Responsibility for implementing and documenting the business logging
Setting up a development environment with Docker Compose
Leif S.
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
Timo K.
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
Ayhan G.
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 J.
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
Ioan D.
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, construction 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, Sping 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.
Nikhil G.
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
Esmail S.
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
Jan M.
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
Radoslav Y.
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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Gatling 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 (58%)
- Banking and Finance (58%)
- Government and Administration (58%)
- Education (50%)
- Healthcare (50%)
- Retail (50%)
- Telecommunication (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Gatling does
Gatling is an open-source performance and load testing tool for web applications, APIs and distributed services. Teams use its code-based simulations to model realistic user journeys, apply controlled traffic, and identify slow responses or capacity limits before production releases. Gatling Enterprise adds managed execution, dashboards and collaboration features for larger testing programs.
Core test capabilities
Gatling specialists create repeatable tests that reflect how real users interact with a system.
- Model browser-like journeys and API workflows
- Generate steady, ramped or burst traffic
- Validate response times, errors and throughput
- Test authentication, sessions, feeds and asynchronous flows
- Compare results across builds and environments
Ecosystem and tooling
Gatling uses a code-first approach with Scala, Java or JavaScript SDKs, depending on the project setup. Strong specialists work with HTTP and WebSocket protocols, feeders, checks, assertions and reusable scenarios. They also connect tests to Maven, Gradle, Git, Jenkins, GitHub Actions or other CI pipelines, and may use Gatling Enterprise for distributed execution and centralized reporting.
When companies need expertise
Freelance Gatling expertise is useful when an application is approaching a major launch, replacing a legacy performance suite, or moving from manual checks to automated capacity testing. Companies also bring in specialists when internal teams need an independent test plan, realistic workload design, or help explaining results to product and infrastructure teams. In Germany, this can support digital services, manufacturing systems, finance applications and retail platforms while keeping remote and on-site collaboration practical.
What strong specialists deliver
A capable professional starts with service objectives, user behaviour and infrastructure constraints rather than selecting traffic numbers at random. They build maintainable simulations, separate test data from test logic, and make environments comparable. Their deliverables may include a workload model, executable simulations, CI integration, result analysis and clear recommendations for application or infrastructure changes.
How to assess quality
Look for hands-on work with the protocol and architecture under test, not only familiarity with Gatling syntax. Ask how the specialist validates test data, handles dynamic tokens, avoids client-side bottlenecks and distinguishes application latency from network or environment effects. Strong results include reproducible scenarios, meaningful thresholds, transparent assumptions and findings that teams can act on.
Frequently asked questions
What clients ask us most about Gatling — answered in short.
Gatling is used to test the performance, reliability and scalability of web applications, APIs and distributed services. A specialist can simulate realistic user journeys, measure response behaviour under load and expose errors or bottlenecks before they affect users.
Gatling takes a code-based approach, while JMeter is commonly configured through a graphical interface and test files. Gatling can offer strong maintainability and easy version control for teams comfortable with Scala, Java or JavaScript; the better choice depends on existing skills, protocols and reporting needs.
A strong Gatling specialist should understand HTTP, APIs, authentication, databases and distributed systems. Experience with CI/CD, Docker, Kubernetes, observability tools and cloud infrastructure helps connect test results to the real behaviour of the application.
The right level of Gatling experience depends on scope, traffic patterns and system complexity. A simple API test may need focused setup support, while a critical platform with complex data, distributed services and release gates needs someone who can own workload modelling, execution and analysis.
Gatling fits remote collaboration well because simulations, configuration and results can be stored and reviewed through shared repositories and CI pipelines. For teams in Germany, agree early on communication language, access to test environments, working hours and whether occasional on-site workshops are necessary.
A Gatling engagement commonly produces reusable simulations, test data feeders, assertions, performance thresholds and automated execution steps. It should also provide an interpretation of response times, throughput, failures and likely causes, rather than only a dashboard export.
Ask how the Gatling professional models real user behaviour, controls test data and proves that generated traffic represents the intended workload. Quality work uses repeatable environments, explains assumptions, checks for load-generator limits and connects findings to practical remediation.
Gatling is best known for HTTP and API testing, but it also supports scenarios involving WebSockets and other integrations through its protocol capabilities and extensions. A specialist should confirm protocol coverage, correlation needs and data-handling constraints before committing to a test design.
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 772 € 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
