k6 Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used k6
Dimitri Wolinski
Last position:
Software Architect at Environmental services company (cooperation with Sitegeist Media Solutions GmbH)
Conceptual design and implementation of a modular customer portal based on Laravel.
The focus was on defining a maintainable system architecture with broad use of Domain-Driven Design principles (within the Laravel architecture), introducing automated quality assurance processes (test strategy, CI integration), and preparing an auditable operation (logging, traceability of changes) in an AWS-based infrastructure, taking IT security standards according to NIST and process requirements according to ISO 9001 into account.
Achievements:
- Analysis and structuring of business requirements in close coordination with stakeholders
- Documentation of the system architecture and infrastructure incl. change and release management
- Design and implementation of an interface for integrating SAP systems
- Planning and implementation of automated tests for quality assurance
- Implementation of security and compliance requirements, including SBOM generation, software license management, and QA processes
- Technical consulting and support for the internal IT team
- Introduction and establishment of AI-supported development processes (Spec-Driven Development), including AI-readable specifications, integration of AI instructions into the development environment, and training developers for productive use
Technologies and tools: SAP, Docker, ddev, PHP 8.4, Laravel, Filament, C4 Model, Architecture Decision Records (ADR), Mermaid, PlantUML, Spec-Driven Development, Claude, GitHub Copilot, Codex
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.
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
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
Martin Grambauer
Last position:
SAP Test Data Management Consultant at Siemens AG
End-to-end quality assurance in a global S/4HANA transformation program.
Automated test data setup, evaluation of search and generation solutions, and PoC execution (K2View, EPI-USE).
Coordination between Siemens teams and external partners, and structured knowledge transfer to internal stakeholders.
Created a basis for PoC decisions and sped up tool selection.
Standardized test data provisioning and noticeably reduced lead times.
Established governance for test data processes (policies, roles, KPIs).
Sustainable know-how transfer: empowered internal teams to operate solutions on their own.
Methods & technologies: S/4HANA, SAP, K2View, EPI-USE, test data management, data masking, data provisioning, test strategy, test management, coaching & enablement, Azure DevOps, Microsoft Office 365, Gemini.
Mohammad Labeeb
Last position:
Research Intern - ML / ADAS at IAV GmbH
- Developed and optimized LSTM-RNN and Decoder Transformer models to predict vehicle trajectory during target loss events in Adaptive Cruise Control systems, achieving 20% improved predictive accuracy over baseline models.
- Engineered novel data preprocessing pipeline from real road campaign data, processing multi-sensor time series data, generating 300+ training snippets.
- Implemented Bayesian hyperparameter optimization and applied physical constraints to prevent model run-away behavior, resulting in 30% smoother acceleration profiles.
- Extended existing patented technology for AI-assisted ACC function improvements, building upon foundational work to enhance network performance.
- Tools: Python, TensorFlow, Keras, Optuna, CarMaker
Andreas Steffan
Last position:
Lead Developer at Software
- Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
- Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
- Implemented based on RESTful / OpenAPI services
- Delivered as a fat-jar and native container image
- Deployed on-premises and serverlessly as an Azure Container Application using Terraform
- Improved team autonomy through infrastructure engineering and short feedback loops
- Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
- Introduced Terraform and trunk-based development processes
- Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
- Created Azure DevOps pipeline integration tests
- Introduced cloud deployment processes
- Trained staff in cloud and Terraform
Rohith Radhakrishnan
Last position:
Senior Software Engineer at Clark GmbH
- Upgraded Ruby from 2.7 to 3.1, boosting application performance by 30% and reducing technical debt.
- Integrated Zendesk Messenger into the customer support platform, streamlining communication workflows and increasing support efficiency by approximately 25% through faster response times and improved issue resolution.
- Orchestrated the migration of 65,000+ Schutzklick customer records to a new cloud platform, achieving zero downtime and accelerating data access speeds by 40% for internal teams.
- Implemented JumpCloud SSO for 500+ admin users, strengthening platform security and access control.
- Conducted k6 load testing, enabling the platform to support 10,000+ concurrent users without degradation.
Michal Budzyn
Last position:
Senior Golang Engineer at STACKIT / Schwarz Gruppe
- Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
- Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE
Marcel Seifert
Last position:
Lead Developer / Software Architect at Rezeptprüfstelle Duderstadt GmbH
Responsible for the redevelopment of a billing and validation software for prescriptions to fully check and analyze e-prescriptions for correctness (content, billing)
System consists of multiple contexts running as services (Docker containers):
Checking and processing data deliveries via FTP and email
Management of invoicing, clearings, deductions and offsets
Management and execution of validation rules and test sets
Analytics based on Metabase
Developer Stack: Kotlin, Vue 3 / Vuetify 3, ANTLR, Spring Boot 3, REST API, Gradle, Docker, GitLab, PostgreSQL, Kafka, Keycloak, Scrum, Grafana, Loki, Testcontainers, Prometheus
Andreas Kraus
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Andreas Vilinski
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to enhance developer and operations insights
- Did advanced performance optimizations in .NET code, DB and time series
- Provided architectural consultation for developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies including time series DBs and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Discover over 15,000 top freelancers
Statistics of experts using k6
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
1.7 years
Positions per freelancer
19
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Quality Assurance, Human Resources
Bachelor's degree or higher
90%
Master's degree or higher
60%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, Spanish
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 k6
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
What k6 does
k6 is a load testing and performance testing tool for APIs, web apps, and backend services. It helps teams see how systems behave under traffic before users feel the pain. Many companies also know it as Grafana k6.
Typical work
- API load and stress tests
- Browser and front-end performance checks
- CI pipeline test automation
- Performance regression guards
- Test scripts for release validation
Ecosystem
Strong k6 work is usually tied to JavaScript or TypeScript, Git, and CI/CD tools. Experts also work with Grafana, Prometheus, Docker, and cloud-based test runners. The best setups turn raw test runs into clear dashboards and release decisions.
When to bring in help
Companies bring in freelance k6 specialists when response times are slipping, releases need performance gates, or an app is growing faster than its test coverage. In Germany, this is common for SaaS, e-commerce, fintech, and platforms with strict uptime needs. Remote work is common, but on-site workshops help when teams need shared test strategy.
What strong specialists deliver
A strong k6 expert writes realistic scenarios, handles test data well, and knows how to read system bottlenecks from the results. They separate app issues from infrastructure issues and can explain findings in plain language. Good work leaves behind scripts the team can maintain without guesswork.
How teams use the results
k6 findings should feed real decisions: scaling rules, caching changes, database fixes, and release approvals. Specialists often compare baseline runs with new builds to spot regressions early. That makes k6 useful not only for testing, but also for keeping performance visible across delivery.
Frequently asked questions
Everything clients usually want to know about k6, in one place.
k6 is used to test how APIs, websites, and services behave under load. Teams use it to check latency, throughput, error handling, and stability before a release goes live. It is especially useful when you need repeatable performance checks in a delivery pipeline.
k6 is often chosen for scriptable tests that fit modern CI/CD workflows. Compared with JMeter, it is usually lighter to maintain; compared with Gatling, it is often easier for teams that prefer JavaScript-style scripting. The better choice depends on your stack, test goals, and how much reuse you want across projects.
A strong k6 specialist usually understands HTTP, APIs, timing, caching, and basic system bottlenecks. Helpful adjacent skills include JavaScript, Docker, Grafana, and cloud observability tools. They should also know how to turn test results into actions, not just graphs.
A small k6 task may only need someone who can write and run a few stable scenarios. Larger or riskier work needs deeper knowledge of test design, environment setup, and result analysis. If the goal is release gating or production readiness, choose a specialist who has handled real performance investigations.
Yes, k6 is commonly used in CI/CD pipelines to run quick checks on every build or before release. That makes it useful for catching performance regressions early. A specialist can help decide which tests belong in the pipeline and which should stay in a larger pre-release run.
For many k6 projects, remote collaboration is enough, especially when the team can share test environments, logs, and dashboards. In Germany, on-site sessions can still help at the start of a project when stakeholders need to agree on test targets and service levels. The right setup depends on access, speed, and how much alignment is needed.
Look for a k6 expert who writes clear scenarios, uses realistic traffic patterns, and explains what the results mean for the system. Good specialists can show how they separate application limits from infrastructure limits. They should also leave behind maintainable scripts and simple documentation.
No, k6 is not limited to backend APIs. It is widely used for API load tests, but it can also cover browser flows and end-to-end performance checks around user journeys. That makes it useful when you need to see how the full path behaves, not just one service.
The average hourly rate of freelancers in Germany who have used k6 in their recent projects is 97 €, which corresponds to a daily rate of about 774 € based on an 8-hour working day.
Of the freelancers in Germany who have used k6 in their recent projects, 90% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used k6 in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used k6 in their recent projects are German (100%), English (92%), and Spanish (15%).
The most common industries among freelancers in Germany who have used k6 in their recent projects are Information Technology (100%), Banking and Finance (69%), and Retail (62%).
The most common business areas among freelancers in Germany who have used k6 in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (54%).
Main locations of FRATCH Experts, who have recently used k6
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.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
