Groovy Experts in Munich
matched in minutes from over 15,000 CVsHire experts who automate complex workflows, extend Java applications and build reliable tests with Spock, Gradle and Jenkins. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Munich, who have recently used Groovy
Srinivasu K.
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
Frank E.
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
Vitaliy R.
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 M.
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 B.
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 K.
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 K.
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
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
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).
Cagdas K.
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
David C.
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
Daniel C.
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)
Claudius P.
Last position:
IT Consultant on Temporary Assignment at YER Talents GmbH
- Release Management
- Project Management
- Business Analysis
- Scrum
- SAFe
Bela B.
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.
Janusz M.
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: 20 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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Groovy 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%)
- Banking and Finance (71%)
- Automotive (57%)
- Retail (57%)
- Insurance (43%)
- Manufacturing (43%)
- Telecommunication (43%)
- Professional Services (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Groovy is
Groovy is a dynamic language for the Java Virtual Machine. It combines concise syntax, closures, dynamic typing and seamless access to Java libraries. Teams use it to reduce boilerplate while keeping compatibility with established Java applications and services.
Where it is used
Groovy supports application logic, build automation, test suites and internal tools across JVM environments. It is especially useful when teams need expressive scripts around existing Java systems or fast changes without abandoning the Java ecosystem.
- Create DSLs for business and build workflows
- Automate deployment and release tasks
- Extend Java-based services and libraries
- Write expressive tests with Spock
Ecosystem and tooling
Strong Groovy specialists work with Gradle build scripts, Spock, Jenkins pipelines and Spring-based applications. They understand Java interoperability, Maven repositories, Git workflows and common JVM observability practices. Knowledge of static compilation helps balance flexibility with predictable performance.
When companies need expertise
Freelance support is useful when a team inherits a Groovy codebase, moves build logic to Gradle or needs to modernize test automation. Munich companies can also bring in specialists for short delivery phases, platform migrations or remote collaboration with German-speaking stakeholders.
- Refactor unclear scripts and shared libraries
- Improve Spock coverage and test structure
- Convert fragile build logic into maintainable Gradle conventions
- Connect Groovy services with Java and Spring components
What strong specialists deliver
Experienced professionals distinguish scripting convenience from long-term application design. They keep dynamic behavior controlled, document DSLs, manage dependency boundaries and choose static typing where it improves safety. Their deliverables include readable code, repeatable builds, reliable tests and practical handover documentation.
Fit for your project
The right specialist should explain where Groovy adds value and where Java or another JVM language is a better choice. Ask how they handle Java interop, Gradle performance, Spock test design, dependency management and production support. For on-site work in Munich, clarify collaboration language and access requirements; remote work can suit distributed teams when communication and repository practices are clear.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Groovy.
Companies use Groovy for JVM scripting, Gradle build automation, Jenkins pipelines, Spock testing and extensions to Java applications. It is also a practical choice for internal tools and domain-specific languages where concise syntax speeds up delivery.
Groovy is more dynamic and concise than Java, which makes scripting and rapid changes easier. Kotlin usually offers stronger compile-time safety and a more structured approach, while Groovy remains valuable for Gradle, Jenkins, Spock and existing Java-centered automation.
A strong Groovy specialist should understand Java, the JVM, Gradle, Spock, Git and CI/CD systems such as Jenkins. Spring, REST APIs, dependency management and container-based delivery are also useful when Groovy is part of a larger service landscape.
The needed experience depends on the work. A focused build-script or test task may need a specialist who can work independently in an established repository, while a legacy migration or production service requires deeper Java interoperability, architecture and operational judgment.
Yes. Groovy work is well suited to remote collaboration through Git, code review, CI pipelines and shared issue tracking. Munich teams should agree on working hours, documentation standards and whether German-language communication is needed for business stakeholders.
Groovy may be a poor fit when strict compile-time guarantees, highly predictable runtime behavior or a strongly typed team standard are the main priorities. A specialist should compare it with Java or Kotlin instead of forcing it into a project where its dynamic features add little value.
Review how the Groovy freelancer structures scripts, controls dynamic behavior and documents custom DSLs. Ask for examples of maintainable Gradle builds, meaningful Spock tests, Java integration and clear handling of dependencies and failures.
Before starting, a Groovy freelancer should clarify the language and JVM setup, build tool, test framework, deployment pipeline and proportion of Java code involved. They should also confirm repository access, review expectations, release ownership and whether the work covers scripting, services, testing or migration.
The average hourly rate of freelancers in Munich, Germany who have used Groovy in their recent projects is 91 €, which corresponds to a daily rate of about 728 € 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 
Hamburg 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
