Gradle Experts in Germany
in minutes from over 15,000 CVs with the power of AIHire experts who can tune Gradle builds, manage multi-module Java and Kotlin projects, and keep the Gradle Wrapper, plugins, and CI pipelines stable. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, 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
Harold Tela
Last position:
CPU Watcher — Cloud-Native Monitoring Application at SEUYTEL
Developed a CPU monitoring application using Spring Boot and React, containerized with Docker Compose, with automated infrastructure provisioning using Terraform on AWS.
Stack: Spring Boot, React, PostgreSQL, REST API, Docker Compose, Terraform, AWS
Matthias Spiller
Last position:
Software Developer and Consultant at CLADE GmbH
- Analysis of the existing CAN communication between microcontrollers
- Analysis of the sensors used and the measured values collected
- Planning the CAN messages for transmitting the measured values
- Iterative adjustment of the microcontroller code to the new CAN messages
- Cross-compilation from x64 to arm64
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Sabahattin Kunas
Last position:
Sole responsibility (concept, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and working. Backend Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, Testcontainers integration tests. Running in my own AWS account (ECS Fargate, ALB, ECR, IAM least privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development throughout AI-assisted with Claude Code, including my own skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Boris Solos
Last position:
Generalist expert for software development at Mercor
- Training the AI models, evaluating images and texts for UI/UX, turning the provided data into insights via OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Rüdiger Schulz
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Jorge Machado
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
Markus Steffen
Last position:
Fullstack-Developer at VRM Digital / RYZE
- Development and maintenance of a news portal CMS with interfaces.
- PHP development with HTML, CSS, SCSS, JavaScript, MySQL, Laravel, documentation of the interfaces and the system.
- Further development of the SSO system based on Laravel with a large API and connections to AWS, SAP, ERPS.
- Reorganisation and development of the news portals on the basis of a publish platform, services and interfaces to Google, Facebook, Twitter, SSO, SAP technical based on NodeJS with TypeScript and AWS.
- Technologies: PHP, Laravel, MySQL, JavaScript, Vue.js, NodeJS, TypeScript, jQuery, CSS, SCSS, SASS, Unix, Jira, Confluence, Git, Apache, Nginx, AWS.
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
Kyu-Wang Lee
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a uniform program for tax collection for all states.
In tax collection, the aim is to collect the assessed taxes. This includes handling due dates, documenting incoming and outgoing payments, triggering reminders or refunds. Statute of limitations and payment reminders also play an important role. All payment transactions with banks and accounting are mapped in BIENE.
Setting up the architecture and coordinating the provisioning of development and test environments at the Hanover location
Installing and configuring environments on Linux servers (Apache Kafka, PostgreSQL)
Interface tasks: coordinating and aligning the integration of software products from other departments and their test data
Upgrading application server, JDK, Maven project structure
Environment coordination and build management
Implementing external interfaces
Implementing business requirements
Designing and implementing RESTful APIs and OpenAPI specifications
Designing and implementing microservice architecture
Setting up and maintaining CI/CD pipelines
Deploying applications on OpenShift
Creating technical documentation and diagrams
Working with SQL databases (Oracle and PostgreSQL)
Setting up authentication and authorization for the application and users
Containerizing the application (automated deployment via CI/CD pipeline)
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Anastasiia Komarenko
Last position:
Senior Test Automation Engineer at E.ON
- Reviewing functional and technical requirements from a testing perspective
- Creating test cases and automated tests to validate requirements
- Performing manual and automated functional, end-to-end, and regression tests
- Documenting test results and tracking defects
- Using models like GPT-4, BERT, and Hugging Face Transformers for automated test case generation, analysis of test results, and improving test coverage, including bias checks and security reviews
- Techs: MS Office, Jira, Zephyr, Confluence, Tosca, stakeholder communication, Agile, Kanban, Scrum, OpenAI API, Hugging Face, PyTorch, LangChain.
Discover over 15,000 top freelancers
About the technology
Build automation
Gradle is a build automation tool for JVM projects and beyond. Teams use it to compile code, run tests, package artifacts, publish libraries, and orchestrate repeatable delivery steps across Java, Kotlin, Android, and mixed-language codebases.
Common tasks
- Set up clean multi-module builds
- Write and maintain custom tasks
- Manage dependencies and plugin versions
- Configure the Gradle Wrapper for reliable builds
- Optimize CI builds and release pipelines
Ecosystem
Strong Gradle work depends on the surrounding stack: the Gradle Wrapper, build scripts in Groovy or Kotlin DSL, Maven repositories, plugin management, and CI tools such as GitHub Actions or Jenkins. Good specialists also understand how Gradle compares with Maven and when to keep a build simple.
When to bring help
Companies usually bring in freelance Gradle specialists when builds are slow, dependency graphs are messy, or a monolith needs to become a modular build. They also help with Android projects, internal libraries, and migration from older scripts or Maven without disrupting delivery.
What good looks like
A strong expert keeps build logic readable, isolates convention from project code, and removes repetition without overengineering. They test build changes, explain trade-offs clearly, and leave a setup that other specialists can maintain. In Germany, this often matters for distributed teams that need English-first collaboration and clear handover notes.
Delivery focus
Gradle support is not only about scripts. It also covers build performance, artifact publishing, dependency locking, version catalogs, and release automation. The best freelancers leave behind stable builds, faster feedback loops, and a structure that fits the team’s way of working.
Frequently asked questions
Need clarity? These are the questions we hear most often about Gradle.
Gradle is used to automate builds, testing, packaging, and publishing. It is common in Java and Kotlin projects, but it also shows up in Android apps and mixed-language systems. Companies bring in specialists when they need reliable repeatable delivery instead of manual build steps.
Gradle is usually chosen when teams want more flexibility, custom logic, or better control over large multi-module builds. Maven is more declarative and can be simpler for very standard setups. A good specialist knows when Gradle adds value and when a simpler Maven approach is enough.
Yes. Gradle is often searched for as the Gradle Build Tool, especially by teams looking for build automation support. The name usually refers to the same toolchain around the build scripts, Wrapper, plugins, and dependency management.
A strong Gradle specialist usually knows Groovy or Kotlin DSL, dependency management, multi-project build design, and CI integration. For Java work, they should also understand the project structure, test tasks, publishing, and how plugins affect the build lifecycle. Good communication matters as much as script quality.
Gradle help is useful when builds become slow, fragile, or hard to understand. It is also a smart move during migrations from Maven, when introducing a new plugin setup, or when an Android or JVM codebase needs cleaner release automation. Freelance specialists are often brought in for focused fixes and handover-ready improvements.
Yes, Gradle work is often remote because most of it happens in scripts, build logs, and CI pipelines. For teams in Germany, remote collaboration works well when requirements are clear and communication is disciplined. On-site time can still help during migrations or when many build systems need to be untangled quickly.
Look for a Gradle specialist who can explain why a build is slow or unstable, not just patch the symptom. Good signs are clean script structure, use of the Wrapper, sensible plugin choices, and changes that are easy for other specialists to maintain. Ask for examples of builds they improved or migrated.
Gradle work often sits next to Kotlin, Java, Android, CI pipelines, artifact repositories, and dependency scanning tools. In larger systems, version catalogs, publishing rules, and release automation also matter. A freelancer who understands the full delivery path can save a lot of rework.
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
