Groovy Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Groovy
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Cagdas Kahraman
Last position:
Software Consultant at SThree GmbH / Rewe Systems
- Angular 13
- Java (Spring)
- Kafka
- Kubernetes
- New development and enhancements
- Proof of concept development
- Analysis and resolution of technical errors
- Technical consulting
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
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
Siegfried-Thor Bolz
Last position:
AI Solutions Architect & Developer at E-Commerce
- Integrated LangChain middleware between AEM and SAP PIM system
- Developed a FastAPI interface for system communication
- Implemented vector embeddings for semantic product search
- Evaluated LLM models (Vertex AI/Gemini, LM Studio, Hugging Face, OpenAI) for product analysis
- Developed an AEM component to display product recommendations and integrated the recommendation API into the AEM authoring process
- Designed and implemented Pinecone vector database for product embeddings
- Optimized response times and caching strategies
- Evaluated Vertex AI Studio for LLM testing and prompt workflows
- Implemented secure API routing and access control for AI components via FastAPI and gateway validation
Celso Kurrle
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
György Kelemen
Last position:
Senior Fullstack Developer at Rockstardevelopers GmbH
- Development of a test system
- Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
- Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
- Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
- Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
David Cole
Last position:
Scrum Master, Agile Coach at Steadforce
Agile coaching at BMW – 8 coaching projects
Advised BMW department on introducing agile software development
Coaching product owners, Scrum Masters, managers and teams
Trainer for product owner workshops
Consulting firm project (Jan 2017 to present): Steadforce was the main partner in developing products that consultants used on client sites
As Scrum Master, supported scaling the project from six developers to three distributed Scrum teams with developers in Germany, Poland, Romania and Ukraine as well as stakeholders in Germany, US and India
Agile values evangelist
Organizing Scrum meetings
Facilitating retrospectives
Co-organizing team workshops
Working on code quality and test coverage for almost daily releases
UMS at BMW (Sept 2016 to present): Scrum Master for a team of 3 software developers
Organizing Scrum meetings and collaborating in Jira with the product owner at the client for agile fixed-price billing (payment based on t-shirt sizing)
Steadforce Campus: Redefining software development processes at Steadforce with a focus on clean code, code reviews and Scrum
Claudius Porath
Last position:
IT Consultant on Temporary Assignment at YER Talents GmbH
- Release Management
- Project Management
- Business Analysis
- Scrum
- SAFe
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Frank Eppink
Last position:
DevOps at Lauck-IT
Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines
Bela Bocsak
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Anton Klonov
Last position:
Head of Technical Overall Integration NSC / Hadoop Cloud Development at IABG
Head of technical overall integration NSC (National Secure Cloud project with about 60 employees).
Technical integration of all subprojects into one product, definition of interfaces, basic components of a cloud including hardware, technical architecture of the IABG base.
Development of a Cloud Management Platform (CMP) that can create a private/mixed cloud of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management cycle.
As a foundation, it uses Kubernetes, OpenStack, and Hadoop.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are automatically configured.
The private cloud can run any customer workloads, including a full Hadoop stack with HDFS, Spark, MapReduce, Mesos, HBase and around 20 other ML/DL technologies.
Hadoop worker clusters can also be automatically installed on bare metal or commodity hardware without Kubernetes.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, database.
Technologies: Kubernetes (K3s, RKE2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3s), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Janusz Mazurek
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using Groovy
Aggregated from the professional profiles of matched freelancers.
Experience
25 years (Germany: 19 years)
Position duration
2.1 years (Germany: 1.9 years)
Positions per freelancer
15 (Germany: 14)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92% (Germany: 91%)
Master's degree or higher
62% (Germany: 53%)
Doctorate
23% (Germany: 9%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 96%)
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 Munich 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 Munich using Groovy
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
Groovy for JVM teams
Groovy is a dynamic language for the Java platform. Companies use it for scripts, build logic, tests, and full applications where concise code and JVM compatibility matter. Apache Groovy fits teams that want faster delivery without leaving the Java ecosystem.
Common delivery work
- Build Gradle scripts and custom build tasks
- Write Spock tests and test data setup
- Create Grails web applications and services
- Automate deployment, reporting, and admin tasks
Ecosystem fit
Groovy works closely with Java libraries, Gradle, Grails, Spock, and Jenkins pipelines. Strong specialists know when to use Groovy for glue code and when to keep core business logic in Java. They also understand JVM types, dependency handling, and scripting safety.
When companies bring help
Teams often need freelance expertise when build logic becomes hard to maintain, legacy scripts need cleanup, or a Grails codebase needs steady support. In Munich, Groovy experts often work with product teams, enterprise IT, and platform groups that need smooth JVM integration and clear handover.
What strong specialists do
A strong Groovy professional writes readable code, keeps dynamic parts under control, and tests behavior well. They can review existing scripts, improve Gradle setups, and reduce hidden coupling in automation. They should also communicate clearly with Java teams and delivery leads.
Signs you need Groovy expertise
- Your Gradle files are growing into custom application logic
- Old automation scripts are fragile or hard to extend
- You need Spock coverage for complex JVM behavior
- A Grails or Apache Groovy codebase needs refactoring
Frequently asked questions
The facts hiring teams ask for most often when it comes to Groovy.
Groovy is mainly used for JVM scripting, build logic, tests, and web applications. Teams often choose it for Gradle automation, Spock specs, and Grails-based services because it stays close to Java while staying concise.
Groovy is usually chosen when teams want faster scripting, cleaner test code, or lighter build automation. Java is often better for large, strongly typed core systems, while Groovy shines in glue code, pipelines, and projects that need less boilerplate.
Groovy and Grails often go together when a company needs a web application built on the JVM with convention-driven structure. If your project is already in the Grails ecosystem, a specialist should understand controllers, services, views, and the surrounding Java stack.
A good Groovy specialist usually knows Java, Gradle, Spock, and common JVM tooling. For business systems, experience with Spring, Git, testing practices, and dependency management is also important.
Groovy can help at many stages, from small automation scripts to larger enterprise systems. It is especially useful when a team already has Java assets and needs to move quickly without replacing the whole stack.
Yes. Groovy work is often done remotely because most tasks involve source code, build files, and tests. In Munich, on-site time can still help when a team wants closer collaboration around legacy systems, workshops, or handover sessions.
Look for a Groovy professional who writes clear code, tests behavior, and explains trade-offs without hiding behind shortcuts. Good signs are solid Gradle or Grails work, sensible use of Java libraries, and clean reviews of existing scripts.
Yes. Apache Groovy is the official project name, and most people simply say Groovy. When hiring, it helps to confirm whether the specialist has worked with plain scripting, Gradle, Spock, or a full Grails application.
The average hourly rate of freelancers in Munich, Germany who have used Groovy in their recent projects is 93 €, which corresponds to a daily rate of about 744 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Groovy in their recent projects, 92% hold at least a Bachelor's degree, 62% hold at least a Master's degree, and 23% hold a doctorate.
On average, freelancers in Munich, Germany who have used Groovy in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Munich, Germany who have used Groovy in their recent projects are German (100%), English (93%), and Spanish (29%).
The most common industries among freelancers in Munich, Germany who have used Groovy in their recent projects are Information Technology (100%), Banking and Finance (71%), and Automotive (57%).
The most common business areas among freelancers in Munich, Germany who have used Groovy in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (79%).
Main locations of FRATCH Experts, who have recently used Groovy
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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Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
