Jersey Experts in Germany
matched in minutes by AIHire experts who design RESTful Java services, secure JAX-RS endpoints and integrate Jersey with Spring, Jakarta EE or enterprise systems. FRATCH matches you quickly and precisely with vetted, available freelancers for your project.
Meet FRATCH Experts in Germany, who have recently used Jersey
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
Niko S.
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.
Armin V.
Last position:
Software Developer at DFS GmbH
- TANGe is a DFS project to introduce a modern digital tower system that is meant to make airport air traffic handling safer, more efficient, and future-ready. My current task in this project is the development of the Runway SID Assignment Service, which is responsible for assigning departure routes from an airport. SID - Standard Instrument Departure stands for a standardized departure route.
Software: Java, microservices, Kafka, Robot Framework, Gitlab, Kubernetes, Docker
Mohsin H.
Last position:
BBM GenAI MiDAS program coordinator for Bosch eBike at Robert Bosch GmbH
The MiDAS program aims to integrate Generative AI across the entire BBM organization. My role is to enable the eBike division to adopt and leverage Generative AI by collaborating closely with the MiDAS team in India.
Management:
- Enable the eBike division to adopt GenAI through tailored solutions.
- Collaborate with the MiDAS team in India to design solutions for Generative AI use cases specific to the eBike division.
- Coordinate with the eBike teams to integrate GenAI systems, tools, plugins, and services provided by the MiDAS team.
- Plan roadmaps with eBike and MiDAS India team Product Managers for the delivery and integration of Generative AI solutions.
Allal K.
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Christof H.
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Mani Y.
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.
Eduard H.
Last position:
Senior Java Developer at Deutsche Bahn
- Implemented asynchronous communication with Kafka Streams to update user and group data in microservices
- Conducted load and performance tests with JMeter to ensure system stability
- Migrated microservices to current versions of Spring Boot libraries for better maintainability and security
- Optimized Hibernate queries to improve database efficiency
- Deployed new microservices on AWS infrastructure using Kubernetes for scalability and fault tolerance
- Created OpenSearch dashboards to monitor and analyze system metrics
- Integrated Azure Entra user accounts via SCIM by implementing all necessary REST endpoints
- Improved response times through asynchronous processing in separate threads for better performance
- Enhanced Android device logging capabilities for easier troubleshooting
- Refactored database schema with Flyway for consistent and traceable migrations
- Updated AWS Cognito user settings to optimize user management
- Offloaded resource-intensive tasks from the main microservice into separate Docker containers to boost performance
- Used technologies: Java, JavaScript, Kotlin, Angular, Maven, Spring Boot, Spring Security, JUnit, Tomcat, Spring Data, Spring Cloud, Hibernate, Jackson, microservices, Docker, Kubernetes, OpenSearch, Grafana, OpenAPI, SonarQube, PostgreSQL, MySQL, JMeter, Kafka, Flyway, AWS, Azure, Jira, Confluence, Agile, Scrum, SAFe
Faruk S.
Last position:
Software Developer at HR Solutions GmbH
- Designing and developing a web application for the public sector
- Setting up and executing software tests, mainly unit tests
- Technical design and implementation of requirements
- Uploading and displaying CSV files
- Communicating with business units regarding development and test support
- Technologies used: Java, Spring Boot, Spring Security, Spring Batch, Spring Cloud, Spring Data JPA and Hibernate, RESTful, JSON, React, Oracle, JUnit, Mockito, CI/CD, GitLab, Docker, Keycloak, Liquibase, BIRT, Swagger, Microservices
Dmitry V.
Last position:
Fullstack Software Developer at Mercedes-Benz Tech Innovation
- Backend development of the cloud-based microservice
- Frontend development of the microfrontend
- Migration of the cloud backend environment
- Rollout of the distributed high-availability Privacy Data Service
- Technologies: Java, Kotlin, Spring Boot, REST Services, Kubernetes, Microsoft Azure, Cloud Security, OpenAPI, Postman, JavaScript, Vue.js, AngularJS, TypeScript, Micro Frontend, Redis, Kibana, Grafana, CI/CD, GitHub Actions, Jenkins, Helm Charts, Sec-Hub, Black Duck, Docker, Maven, Git, Scrum
Rolf M.
Last position:
Lead Developer and Reviewer of Specialized Applications for the 2021 Census Project at Federal Statistical Office
- Kubernetes, AWS Cloud, Docker, RESTful Services, ActiveMQ, Oracle Advanced Queuing, JBoss EAP, Spring Batch, Git, Keycloak, Kafka, Maven
- Set up CI/CD pipelines with Jenkins
- Developed automated integration tests
- Performed DevOps tasks
- Regularly performed static code analyses during development on all releases of the Census specialized applications using SonarQube
- Set up an R server for household generation
- Set up a Kafka server for the CVTS application
- Set up a Keycloak instance
- Set up a Jira instance to carry out the Jira migration
- Set up an IRI Workbench instance and Cosort for test data creation
- Set up test systems for Java web applications with JBoss8, JDK17 and Oracle and MySQL databases
- Set up the associated Oracle databases, including functionally relevant data
- Identified weaknesses in the technical communication between the specialized applications
- Built extensive business and technical knowledge of all Census specialized applications
- Supported and advised the departments on Census business processes in pre-production and production
- Performed load and performance tests with JMeter and Bash scripting
Mario E.
Last position:
Developer and Consultant at Freelancer
Discover over 15,000 top freelancers
Statistics of experts using Jersey
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.3 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Insurance, Transportation
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
90%
Master's degree or higher
60%
Doctorate
10%
Certifications per freelancer
1
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using Jersey
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jersey 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 (92%)
- Insurance (58%)
- Transportation (58%)
- Media and Entertainment (50%)
- Retail (50%)
- Banking and Finance (42%)
- Automotive (33%)
- Education (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Jersey is
Jersey is an open-source framework for building RESTful web services in Java. It is the reference implementation of JAX-RS, the Java API for RESTful Web Services, and provides a practical programming model for HTTP resources, request handling and response conversion. Teams use it when they need structured APIs that fit established Java applications and enterprise environments.
APIs and services
Jersey specialists create resource classes that expose clear HTTP endpoints and map Java objects to JSON or XML. They handle path parameters, query parameters, content negotiation, validation, exception mapping and consistent error responses. Jersey is suited to internal services, public APIs, integration layers and backend components consumed by web or mobile applications.
- Design resource-oriented API contracts
- Implement filters, interceptors and exception mappers
- Connect endpoints to persistence and business services
- Document and test REST interfaces
Ecosystem and tooling
Jersey commonly works with Jakarta REST, formerly known as JAX-RS, along with JSON processing libraries such as Jackson or JSON-B. Specialists may also use Maven or Gradle, Java application servers, dependency injection, Bean Validation and OpenAPI tooling. Depending on the application, Jersey can run with Grizzly, a servlet container, Spring-based services or Jakarta EE runtimes.
When expertise matters
Companies bring in freelance Jersey expertise when an API needs a new resource model, a legacy service needs modernization or a Java application must expose reliable integration endpoints. Specialist support is also valuable during migrations from javax.ws.rs to jakarta.ws.rs, security reviews, performance investigations and production handovers. In Germany, remote collaboration often works well, while regulated or complex enterprise projects may benefit from on-site workshops and German-language coordination.
What strong specialists deliver
Strong Jersey professionals understand HTTP semantics rather than treating REST as a thin Java wrapper. They separate transport concerns from domain logic, define predictable status codes and keep serialization behavior explicit. They also review dependency versions, configure application lifecycles carefully and make APIs observable through logs, metrics and trace-friendly errors.
- Secure endpoints with appropriate authentication and authorization
- Build repeatable integration and contract tests
- Diagnose serialization, routing and deployment issues
- Prepare maintainable documentation and handover material
Choosing the right fit
Assess a specialist through concrete API examples, architecture discussions and questions about Jersey configuration in your runtime. Look for experience with your Java version, deployment model, security approach and data formats, not only familiarity with annotations. A good professional explains trade-offs between Jersey, Spring-based REST tooling and other JAX-RS implementations, then leaves behind code that the internal team can extend with confidence.
Frequently asked questions
Curious about Jersey? Here are the answers that come up again and again.
Jersey is used to create RESTful web services and HTTP APIs in Java. It implements the JAX-RS standard and helps teams define resources, route requests, serialize responses and handle API errors in a consistent way.
Jersey follows the JAX-RS programming model, while Spring MVC is part of the Spring ecosystem and is often selected with Spring Boot for broader application configuration. The better choice depends on the existing runtime, dependency injection approach, team conventions and required Jakarta or Java EE compatibility.
A strong Jersey specialist should understand HTTP, JSON, OAuth or other security methods, Maven or Gradle, automated testing and application deployment. Knowledge of Jakarta EE, Spring, relational databases, OpenAPI and observability is also useful for complete API delivery.
The required background depends on the scope. A small endpoint extension may need focused API and testing expertise, while a platform migration or security-sensitive service calls for a professional who can assess architecture, dependencies, deployment and operational risks.
Yes, Jersey work is often suitable for remote collaboration because source code, API specifications, tests and deployment pipelines can be reviewed online. On-site workshops may still help when teams are aligning on domain models, legacy integrations or release processes, and German-language communication can matter in some organizations.
Jersey can be a sensible choice when a project values the reference JAX-RS implementation, established documentation and compatibility with its Java runtime. Teams should compare it with RESTEasy or Apache CXF against runtime support, integration needs, existing code and the availability of internal expertise.
Review whether the service uses clear resource boundaries, correct HTTP behavior, stable schemas and meaningful error responses. Ask how the professional tests serialization, security, failure cases and backward compatibility, then inspect whether configuration and operational behavior are documented.
Jersey remains relevant for teams using Jakarta REST and for Java systems built around the JAX-RS standard. A specialist should explain the implications of moving from javax.ws.rs packages to jakarta.ws.rs packages and verify that dependencies, runtime support and deployment settings align.
The average hourly rate of freelancers in Germany who have used Jersey in their recent projects is 101 €, which corresponds to a daily rate of about 810 € based on an 8-hour working day.
Of the freelancers in Germany who have used Jersey in their recent projects, 90% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used Jersey in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used Jersey in their recent projects are German (100%), English (92%), and French (17%).
The most common industries among freelancers in Germany who have used Jersey in their recent projects are Information Technology (92%), Insurance (58%), and Transportation (58%).
The most common business areas among freelancers in Germany who have used Jersey in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (67%).
Main locations of FRATCH Experts, who have recently used Jersey
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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
