Gradle Experts in Frankfurt
in minutes with vetted specialists and the power of AIHire experts who can shape Gradle builds, tune the Gradle Wrapper, and keep Java, Kotlin, and Android delivery predictable. From multi-module build setup to dependency management and CI integration, you get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Gradle
Ornel Franck Wora Yeno
Last position:
Purchasing Manager, Logistics & IT Manager at Onlinehandler
Proactive support of management in business field development & innovation management
New development of a suite of business applications for analyzing valuation, P&L, and market price risk data
Automation of all internal and external business and work processes
Development of AI-based and AI-supported ETL processes as well as data analysis
Business use-case development
Business and work process optimization
Enterprise architecture management
Sales data analysis and forecasting as well as capture
Inventory management & reordering
Supplier management and communication
Customs processing & clearance
Shipping handling & warehouse coordination
Interface management
Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Jan Mundo
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Jochen Hinrichsen
Last position:
DevSecOps Expert at DB InfraGO
- Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
- Build pipelines for Go, Java and JavaScript
- Provisioning of 100+ components
- Quality assurance via GitLab Code Quality and SonarQube
- Checks for dependencies, licensing and vulnerabilities
- Release creation via Jira and ServiceNow
- SBOM, Supply Chain Security, distroless images
- PoC GitLab Runner: Nomad vs. Kubernetes
- Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman
Michael Yaco
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using Gradle
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.1 years
Positions per freelancer
21
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
71%
Doctorate
14%
Certifications per freelancer
6
Most common languages
German, English, French
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 release software with repeatable steps. It is common in Java and Kotlin projects, and it also appears in Android and mixed-language systems. Good specialists keep builds clear, fast, and easy to maintain.
Common work
- Set up multi-module builds and shared conventions
- Write and maintain build.gradle and build.gradle.kts files
- Configure the Gradle Wrapper for consistent builds
- Manage dependencies, plugins, and task flows
- Improve build speed and developer feedback
Ecosystem fit
Gradle works closely with the JVM stack, Android tooling, Kotlin DSL, Groovy DSL, and CI systems such as Jenkins or GitHub Actions. Strong experts know when to use standard plugins and when custom tasks or conventions are needed. They keep build logic readable so teams can extend it safely.
When to bring in help
Companies usually bring in freelance specialists when builds become slow, fragile, or hard to release. In Frankfurt, that often matters for teams working with enterprise Java, finance, logistics, or platform tooling across several squads. It also helps when one team needs remote support but local coordination in German or English.
What strong experts do
A strong Gradle professional understands dependency resolution, task configuration, caching, test setup, and plugin behavior. They can work through version upgrades, build failures, and migration from Maven or older build scripts. They also document decisions so the next specialist can take over without guesswork.
Signs you need one
- Builds fail only in CI or only on one machine
- The wrapper, plugins, or dependencies are out of control
- Android or JVM modules are growing without clear structure
- Release steps are manual or hard to repeat
- No one wants to touch the build logic anymore
Frequently asked questions
Need clarity? These are the questions we hear most often about Gradle.
Gradle is used to automate how software is built, tested, packaged, and released. Teams use it for JVM services, Kotlin code, Android apps, and multi-module systems where build logic needs to stay repeatable. It is also common when a project needs custom tasks or a more flexible setup than a basic default build.
Gradle is usually chosen when teams want more control over build logic, dependency handling, and task flow. Maven is often seen as more prescriptive, while Gradle gives specialists more freedom through Groovy or Kotlin DSL. The tradeoff is that Gradle needs better discipline, because flexible builds can become messy fast.
Yes, if the build is more than a simple starter app. Gradle is central to Android builds, product flavors, signing, dependency management, and CI stability. A good specialist helps keep the app buildable across machines and release branches without manual fixes.
A strong Gradle specialist usually knows Java or Kotlin, dependency management, CI pipelines, and the surrounding build tools. For Android work, they should also understand the Android plugin and release flows. For server-side systems, they should be comfortable with tests, packaging, and module boundaries.
If the build has multiple modules, custom plugins, long test runs, or repeated CI failures, outside help is often worth it. Gradle problems tend to grow when teams add more services or start sharing build logic across repositories. A specialist can often simplify the build without changing the product code.
Yes. Gradle work is usually well suited to remote collaboration because the build files, logs, and CI pipelines can be reviewed from anywhere. In Frankfurt, hybrid work can help when teams want a short on-site start-up and then ongoing remote support in English or German.
Look for clear build scripts, good naming, and stable CI results. A strong Gradle professional explains why a change is needed, not just what to edit, and they avoid piling logic into one file. They should also be able to clean up dependency issues and leave the build easier to maintain.
No. Gradle is the build tool itself, while build.gradle or build.gradle.kts is the build script that defines tasks and dependencies. The Gradle Wrapper is the standard way to run a project with a fixed Gradle version, which helps teams avoid environment drift.
Of the freelancers in Frankfurt, Germany who have used Gradle in their recent projects, 86% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Gradle in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Gradle in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Frankfurt, Germany who have used Gradle in their recent projects are Information Technology (100%), Transportation (86%), and Banking and Finance (71%).
The most common business areas among freelancers in Frankfurt, Germany who have used Gradle in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (100%).
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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