Gradle Experts
matched in minutes from over 15,000 CVs with the power of AIHire experts who streamline Gradle builds, manage multi-project setup, and tune dependency and plugin workflows across Java and Kotlin codebases. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts who have recently used Gradle
Ornel Franck Wora Yeno
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Harold Tela
Last position:
CPU Watcher — Cloud-Native Monitoring Application at SEUYTEL
- Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
- Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
- Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
- Integrated PostgreSQL for persistent storage and management of application data.
- Containerized the application and its services using Docker Compose.
- Automated infrastructure provisioning and deployment using Terraform on AWS.
- Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
- Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
- Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
- Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
- Designed and implemented the frontend delivery architecture using AWS CloudFront.
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:
Fully responsible (concept, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and fully functional. Backend Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, Testcontainers integration tests. Operation 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 AI models, evaluating images and text UI/UX, turning the provided data into insights through OpenAI Feather as part of the machine learning workflow
Technologies: OpenAI Feather
Osman Tartoussi
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Arkadius Sikora
Last position:
AWS Pricing Platform / API & Integration Architecture at Porsche Digital
Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.
Responsibilities
- Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
- Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
- Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
- Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
- Performance optimization of distributed microservices with reduced response times and higher operational stability
- Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
- AWS Infrastructure as Code with Terraform and AWS CDK
- CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
- AI-supported feature implementation (GitHub Copilot Agent)
Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers
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.
Stephan Giuliari
Last position:
Senior Backend Software Developer at Mercedes-Benz Tech Innovations
- Further development and operation of a central backend service for providing vehicle inventory for international Mercedes-Benz online shops
- Further development of a reservation service for vehicles as part of the checkout process
- Design and implementation of a highly scalable end-to-end test architecture with a focus on maintainability, reusability, and a high number of automated test cases
- Development of a multi-layer test infrastructure with a strict separation of test logic and access layers
- Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
- Development of an AI-supported review architecture for automated evaluation and quality assurance of end-to-end tests
- Development of a dashboard for consolidated display of a vehicle context across multiple backend systems, including AI-generated summaries and compact case analyses
- Integration and further development of connections to various reservation systems via Apache Kafka and REST
- Design of new microservices and support with architecture decisions
- Risk analysis and design of microservice migrations
- Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, Github, Confluence, CI/CD, Microservices, AI, LLMs
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
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.
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
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)
Discover over 15,000 top freelancers
Statistics of experts using Gradle
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
1.8 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91%
Master's degree or higher
57%
Doctorate
7%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
96%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 using Gradle
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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Build setup
Gradle is used to automate builds, test runs, packaging, and publishing for Java and Kotlin projects. It also handles multi-module repositories, custom tasks, and repeatable delivery workflows. Strong specialists keep builds clear, fast, and easy to maintain.
What they deliver
- Build scripts in Groovy or Kotlin DSL
- Multi-project structure and shared logic
- Dependency management and version alignment
- Task automation for testing, packaging, and release steps
- Publishing to internal or public repositories
Ecosystem skills
A good Gradle specialist works across the JDK, Maven repositories, plugin development, and CI pipelines. They know how to use the Gradle Wrapper, manage custom plugins, and handle build caching and incremental execution. In many teams, they also support Android, Spring Boot, and Kotlin projects.
When to bring help
Companies bring in freelance expertise when builds become slow, fragile, or hard to change. That often happens during migration from Maven, when a project grows into many modules, or when release automation needs cleanup. It is also useful when teams need a review of build logic before a big delivery.
Signs of quality
Strong professionals do more than make the build pass. They write readable scripts, keep task logic reusable, and avoid hidden complexity.
- Uses the Wrapper consistently
- Separates build logic from product code
- Keeps dependency rules predictable
- Documents custom tasks and plugin use
- Improves performance without breaking behavior
Common project types
Gradle work often appears in backend services, libraries, Android apps, and platform tooling. It is also common in monorepos where multiple teams share dependencies and release steps. Good specialists make these setups easier to test, ship, and evolve over time.
Frequently asked questions
Before you brief your next project: the most common questions about Gradle.
Gradle is used to automate builds, testing, packaging, and publishing. Teams rely on it when they need a flexible build tool for Java, Kotlin, Android, and other JVM-based projects. It is especially useful when projects need custom tasks or multi-module structure.
Gradle is usually chosen for more flexible build logic and stronger support for custom workflows. Maven is more declarative, while Gradle lets specialists shape the build in code through Groovy or Kotlin DSL. For complex builds, many teams prefer Gradle; for simpler standard setups, Maven can still be enough.
A company should bring in Gradle expertise when builds are slow, fragile, or difficult to maintain. It is also a good move during a Maven migration, a move to Kotlin DSL, or when a project grows into many modules. A specialist can clean up build logic before it starts slowing delivery.
A strong Gradle professional usually knows the JDK, dependency management, CI pipelines, and repository publishing. Experience with the Gradle Wrapper, custom plugins, and build caching is a big plus. On JVM projects, Kotlin and Java knowledge usually matter as well.
Most Gradle work can be done remotely because it centers on code, build files, and pipeline changes. On-site time can help when a team wants close collaboration on build migration or shared release processes. For many companies, a remote specialist is enough if communication is clear.
For a small build, a Gradle specialist with solid practical experience may be enough. For a large multi-project setup, you want someone who has handled build performance, dependency conflicts, and custom plugin logic before. The more release-critical the build, the more important deep hands-on experience becomes.
Look for clean build logic, clear task naming, and stable dependency rules in their Gradle work. Good specialists explain why they chose a solution and how it affects performance, maintainability, and releases. If they can simplify a build without hiding behavior, that is a strong sign.
Gradle is widely known in Android, but it is much broader than that. It is also a common choice for backend services, libraries, Spring Boot projects, and internal tooling. A good specialist can adapt it to many JVM-based delivery setups.
The average hourly rate of freelancers who have used Gradle in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.
Of the freelancers who have used Gradle in their recent projects, 91% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers who have used Gradle in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers who have used Gradle in their recent projects are German (98%), English (96%), and French (15%).
The most common industries among freelancers who have used Gradle in their recent projects are Information Technology (97%), Banking and Finance (56%), and Automotive (45%).
The most common business areas among freelancers who have used Gradle in their recent projects are Information Technology (100%), Product Development (96%), and Quality Assurance (62%).
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.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
