Gradle Experts in Munich
in minutes with vetted freelancers and the power of AIHire experts who set up Gradle builds, tune multi-module projects, and streamline dependency management and CI pipelines, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Gradle
Tezcan Dilshener
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
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.
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
Enis Spahi
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
Mani Yazdi
Last position:
Full-Stack Developer at Continentale Krankenversicherung a. G.
- Set up the new digitization strategy.
- Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
- In close cooperation with the business department, the individual processes are created and put into production.
- Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
- Gradual migration of old code from IBM WebSphere to JBoss.
- Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.
Waldemar Lammert
Last position:
Business Analyst / Requirements Engineer at Messe München GmbH
- Act as interface between business, IT demand management and IT architecture, analyzing functional and technical requirements in Salesforce.
- Create requirements and specification documents together with the business unit and develop solution concepts.
- Define, control implementation and acceptance of epics and user stories.
- Advise business units on optimization potentials and develop functional solution concepts.
- Support project management and product owners in scope analysis and ticket creation.
- Develop identity management solutions and deletion concepts in the Salesforce environment.
- Define and implement DWH reports for analysis of business areas and process optimizations.
- Document and optimize functional process workflows.
- Tools and technologies: Miro, Salesforce, Draw.io, Atlassian Stack (Confluence, JIRA), Figma, Enterprise Architect, MS Teams, Slack, Zoom, SCRUM, agile project management.
Alexander Schwartz
Last position:
Full-Stack Developer (Java/Kotlin/Angular) at Hypoport (Vergleich.de)
Further development of the vergleich.de website
Development of new and improvement of existing backend services as microservices
Deployment via TeamCity and GitHub Actions
Development of monitoring tools
Development of REST APIs
Database migration from Oracle to PostgreSQL
Java and Kotlin (including Spring, Spring Boot, JPA, Hibernate)
Angular (TypeScript) and JavaScript
IntelliJ IDEA and WebStorm
Apache Maven
Oracle DB (and SQL Developer), MongoDB, PostgreSQL DB
Git (GitLab, GitHub, BitBucket)
TeamCity
Jira
Docker
JUnit, Mockito, jasmin
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).
Christof Nasahl
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
Christoph Schrall
Last position:
State Ministry for Food, Agriculture and Forestry
- Development of the Ibalis portal and payment process for applying and paying out EU subsidies.
- Publicly accessible portal, e.g., for farmers.
- Projects in the last ten years were carried out using Scrum.
- Technologies: Spring, Wicket, Hibernate, Postgres, JSON, XML, REST, Bitbucket, Podam, Buckets, JUnit, Gradle, IntelliJ, Bamboo, Swagger.
Michael Pförringer
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
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
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))
Konstantin Gaertner
Last position:
Senior Business Analyst, Requirements Engineer, Project Manager at Perelyn GmbH
Discover over 15,000 top freelancers
Statistics of experts using Gradle
Aggregated from the professional profiles of matched freelancers.
Experience
28 years
Position duration
1.8 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Operations
Bachelor's degree or higher
100%
Master's degree or higher
92%
Doctorate
23%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
About the technology
Build automation
Gradle is a build automation tool used to compile, test, package, and publish software with repeatable steps. It is common in Java, Kotlin, Android, and mixed-language codebases. Teams use it for consistent builds across local machines and CI systems.
What it handles
- Multi-module builds and shared build logic
- Dependency management and version control
- Test execution, packaging, and release tasks
- Android build pipelines and plugin-based workflows
Strong Gradle work keeps builds predictable, readable, and easy to maintain as projects grow.
Ecosystem and DSL
Gradle projects are usually written in Groovy DSL or Kotlin DSL. Experts also work with the Gradle Wrapper, custom plugins, buildSrc, and dependency catalogs. They know how to structure builds so teams can extend them without breaking them.
When companies bring help
Companies bring in freelance Gradle specialists when builds slow down, dependency conflicts keep appearing, or the build logic has become hard to change. This is common in product teams, platform teams, and Android groups. In Munich, it is especially relevant for software teams that need clean integration with existing Java and Kotlin delivery workflows.
What good specialists deliver
- Faster and more stable build times
- Clear module boundaries and reusable build logic
- Reliable CI integration with the same output everywhere
- Migration support from Maven or older Gradle setups
The best professionals do more than fix errors. They simplify the build so other experts can work faster.
Signs you need one
If your team avoids touching the build, copies scripts between modules, or cannot explain why tasks fail, it is time for outside help. A strong Gradle professional can trace the problem from dependency resolution to plugin behavior. They should leave behind a build setup your team can actually keep using.
Frequently asked questions
Everything clients usually want to know about Gradle, in one place.
Gradle is used to automate how software is built, tested, packaged, and released. It is especially common in Java, Kotlin, and Android projects, where teams need flexible task control and dependable dependency management. It also helps standardize builds across local machines and CI.
Gradle is often chosen when teams want more flexible build logic and better control over complex, multi-module setups. Maven is more convention-driven, which can be simpler for some teams. In practice, many companies choose Gradle when they need custom tasks, plugin logic, or Android support.
A strong Gradle specialist usually understands Java or Kotlin builds, dependency management, CI pipelines, and plugin development. For Android work, they should also know the Android build system and how to keep variant handling under control. Reading build scans and debugging task graphs is another useful skill.
Not always. Small changes like adding a task or adjusting a dependency may only need a focused Gradle professional, while larger cleanups need someone who understands the whole build structure. The more modules, plugins, and custom logic you have, the more experience matters.
Yes. Gradle work is often done remotely because most of the task happens in source control, build logs, and CI systems. On-site time can still help when a team needs workshops, build migration sessions, or close work with local product and platform experts in Munich.
Ask which Gradle builds they have cleaned up, how they handled dependency conflicts, and whether they have worked with the Groovy DSL, Kotlin DSL, or custom plugins. Good answers should be specific and tied to real build problems. Ask for examples of faster builds, simpler modules, or more reliable CI runs.
No. Gradle is widely used for Java and Kotlin, but it is also a core tool in Android projects and can support other JVM-based setups. Teams often choose it because it can manage mixed-language builds and custom release flows in one place.
Good Gradle work is easy to maintain, clear to read, and stable in CI. The build should run the same way on every machine, with tasks that are named well and dependencies that are explicit. If other experts can extend it without fear, the work is solid.
Of the freelancers in Munich, Germany who have used Gradle in their recent projects, 100% hold at least a Bachelor's degree, 92% hold at least a Master's degree, and 23% hold a doctorate.
On average, freelancers in Munich, Germany who have used Gradle in their recent projects have 28 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Munich, Germany who have used Gradle in their recent projects are German (100%), English (93%), and Spanish (27%).
The most common industries among freelancers in Munich, Germany who have used Gradle in their recent projects are Information Technology (93%), Banking and Finance (87%), and Automotive (67%).
The most common business areas among freelancers in Munich, Germany who have used Gradle in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Gradle
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.
Request a free demo
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