Java Message Service Experts in Germany
, matched in minutes by AIHire experts who design JMS messaging flows, integrate brokers such as Apache ActiveMQ and IBM MQ, and secure enterprise integrations. FRATCH matches you quickly and precisely with vetted, available freelance professionals.
Meet FRATCH Experts in Germany, who have recently used Java Message Service
Timo H.
Last position:
Software Developer at Smiths Detection
- Extension of a Swing-based UI for recording Security Restricted Articles during baggage screening.
- Introduction of a new workflow for recording Deboarding Events.
- Extension of the reporting system for Security Restricted Articles and Deboarding Events.
- Implementation using JBoss Wildfly, PostgreSQL, spring-boot 3.x, Java 8/21, Swing, JSF, JAX-RS/Resteasy, Docker, Maven, Kiro.
Robert D.
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and integration into a solid testing strategy
- Team: Small specialized team (3-5 people) from analysis through implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Christian H.
Last position:
Senior Advisor and Self-Employed Management Consultant at Self-employed
- Senior Advisor to the management consultancy Arthur D. Little and the media analytics software company Nice People At Work – NPAW, with consulting focuses including platform strategies, content licensing, TV product management, ARPU growth, B2B excellence, and marketing strategies
- Host of the TV industry podcast TV-Helden since June 2021
- Clients: Top 4 TV platform in Germany; largest FTTH network operator; software company; industry association; media start-up; leading news channel
- Projects in the following areas: Strategic design of a TV platform; negotiation and conclusion of licensing agreements with media groups; purchasing optimization; management of cooperation negotiations; realignment of the product portfolio and TV offerings; establishment of sales and marketing in the DACH region; development and implementation of a distribution strategy; design and marketing of a trade fair for media companies
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
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.
Osman T.
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
Waldemar B.
Last position:
Software-Architekt Produktdaten-Management Tool at Ferchau Contract GmbH
- Definition of the software architecture
- Design and development of modules
- Supporting internal employees in the learning and onboarding process
- Tools: SAP CAP / CDS, Java 21, SAP Hana, SAP Business Technology Platform (BTP)
Kyu-Wang L.
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a unified tax collection program for all federal states.
Tax collection involves collecting the taxes that have been assessed. This includes, for example, taking due dates into account, recording incoming and outgoing payments, and initiating reminders or refunds. Limitation periods and payment reminders are also important. BIENE handles all payment transactions with banks and accounting.
Set up the architecture and coordinated the provision of development and test environments at the Hannover site
Installed and configured the environments on Linux servers (Apache Kafka, PostgreSQL)
Interface coordination: coordinated and aligned the connection of software products from other departments and their test data
Migrated the application server, JDK, and Maven project structure
Coordinated environments and managed builds
Implemented external interfaces
Delivered business requirements
Designed and implemented RESTful APIs and OpenAPI specifications
Designed and implemented a microservice architecture
Set up and maintained CI/CD pipelines
Deployed applications on OpenShift
Created technical documentation and diagrams
Worked with SQL databases (Oracle and PostgreSQL)
Set up authentication and authorization for the application and users
Containerized the application (automated deployment through the CI/CD pipeline)
Christian W.
Last position:
Technical Senior Tester and Test Manager at Christian Wegener Beratung
Creation and review of test conditions
Execution of functional tests
Defect management
Supplier management
Team coordination
Estimation of test effort and reporting
Test planning
Further development and new development of integrated schedule systems
Java web client/Linux server, Oracle Instantclient/Oracle Database Appliance Server, Unix, ESB – Enterprise Service Bus, SQL, TIBCO EMS – Enterprise Message Service/JMS, REST, Impero Guest
HP ALM / Micro Focus Quality Center, Citrix, JIRA, XRAY, Impero Guest, MobaXTerm, Confluence, Sharepoint, MS-Teams, MS-Office
Alexander S.
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Rainer D.
Last position:
Enterprise Architecture Management / Backend Software Developer at Polizei Hamburg
- Several projects in a police context
- Model and document police procedures/projects with Archimate (as-is/to-be) in the context of P20 (BKA)
- Create software architectures with microservices
- POC development with Springboot/Docker/Kubernetes
- Project size: 10 people
- Enterprise architecture management with Togaf and Archimate
- Backend software development Springboot
- DevOps with Kubernetes
- Implemented using: Java 17/21, Springboot 3, P20 architecture, Togaf, Archimate
Thorsten M.
Last position:
Odoo Implementer at N.N.
As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.
Main Responsibilities
Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)
Key Achievements
Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)
Impact
Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration
This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.
Patrick W.
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Discover over 15,000 top freelancers
Statistics of experts using Java Message Service
Aggregated from the professional profiles of matched freelancers.
Experience
26 years
Position duration
2.1 years
Positions per freelancer
17
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
95%
Master's degree or higher
51%
Doctorate
5%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
95%
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 Java Message Service
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.
Java Message Service 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 (95%)
- Banking and Finance (67%)
- Automotive (48%)
- Telecommunication (48%)
- Transportation (47%)
- Government and Administration (45%)
- Retail (43%)
- Insurance (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Messaging foundation
Java Message Service, commonly called JMS, is a Java API for sending and receiving messages between applications. It supports asynchronous communication, request and reply patterns, publish-subscribe flows, and durable message delivery. JMS helps separate producers from consumers so systems can evolve without tightly coupling every component.
Systems it connects
JMS appears in enterprise systems that process orders, payments, customer events, notifications, and operational workflows. Messages can be placed in queues for one consumer or published to topics for several subscribers. Common deliverables include messaging services, integration layers, event handlers, retry flows, dead-letter handling, and transaction-aware processing.
Ecosystem and tooling
JMS specialists work with broker implementations and the wider Java ecosystem rather than with the API alone. Relevant tools and skills include:
- Apache ActiveMQ and IBM MQ configuration
- Jakarta Messaging migration and compatibility work
- Spring JMS, connection factories, and listener containers
- Message selectors, acknowledgements, and transactions
- Monitoring, tracing, and broker administration
When expertise matters
Companies bring in freelance JMS expertise when an integration landscape is unreliable, a legacy broker must be modernised, or a new service needs dependable asynchronous processing. Typical signals include duplicated messages, blocked consumers, unclear retry behaviour, weak observability, and growing operational load. In Germany, specialists may also need to coordinate closely with established enterprise IT teams across remote and on-site settings.
Delivery and integration
Strong professionals clarify delivery guarantees before choosing a messaging pattern. They define ownership, ordering, idempotency, retention, error handling, and recovery procedures, then connect JMS with databases, REST services, batch processes, and application servers. They can also assess whether JMS is the right fit alongside Kafka, AMQP brokers, or cloud-native event services.
What quality looks like
Quality work is visible in predictable behaviour under failure, not only in a working message producer and consumer. Look for clear contracts, safe acknowledgement handling, controlled concurrency, useful metrics, and tests that cover broker outages and redelivery. Experienced specialists document operational decisions and make handover practical for the permanent team, whether collaboration is remote or on site.
Frequently asked questions
Curious about Java Message Service? Here are the answers that come up again and again.
Java Message Service is used for asynchronous communication between Java applications and enterprise systems. It supports queues, topics, durable messages, acknowledgements, transactions, and controlled redelivery for workflows that should not depend on an immediate response.
JMS is an API and programming model implemented by message brokers, with a strong focus on enterprise queues, transactions, and point-to-point delivery. Kafka is designed around durable event streams and high-throughput consumption, while REST is usually synchronous request and response; the right choice depends on delivery, replay, ordering, and integration needs.
A strong Java Message Service specialist should understand Java, Spring JMS or Jakarta Messaging, broker configuration, application servers, and database transactions. Useful adjacent skills include REST integration, Docker, Kubernetes, observability, security, and automated testing of failure and redelivery scenarios.
The required depth depends on the risk and scope of the system. A straightforward queue integration may need focused messaging experience, while a broker migration or highly transactional workflow calls for a professional who has handled delivery guarantees, outages, performance limits, and production operations with JMS.
Yes. Java Message Service projects can usually be delivered remotely when environments, broker access, documentation, and monitoring are available. On-site collaboration can still help during data-centre changes, regulated delivery work, or workshops with German-speaking operations and business teams.
Ask the specialist to explain acknowledgement modes, transaction boundaries, idempotency, ordering, retries, and dead-letter handling in the context of your system. High-quality JMS work also includes tests for broker failure, measurable monitoring, clear runbooks, and a design that operators can understand.
JMS is the long-established name for the Java messaging API, while Jakarta Messaging is the later Jakarta EE name used after the enterprise Java namespace moved to Eclipse Foundation governance. The programming model remains familiar, but package names, implementation compatibility, and migration details must be checked carefully.
A Java Message Service freelancer may work with Apache ActiveMQ, IBM MQ, and other brokers that provide a JMS or Jakarta Messaging implementation. The important capability is understanding each broker's connection settings, persistence, security, clustering, monitoring, and delivery behaviour rather than relying on the API alone.
The average hourly rate of freelancers in Germany who have used Java Message Service in their recent projects is 96 €, which corresponds to a daily rate of about 769 € based on an 8-hour working day.
Of the freelancers in Germany who have used Java Message Service in their recent projects, 95% hold at least a Bachelor's degree, 51% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used Java Message Service in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Java Message Service in their recent projects are German (98%), English (95%), and French (22%).
The most common industries among freelancers in Germany who have used Java Message Service in their recent projects are Information Technology (95%), Banking and Finance (67%), and Automotive (48%).
The most common business areas among freelancers in Germany who have used Java Message Service in their recent projects are Information Technology (98%), Product Development (97%), and Quality Assurance (65%).
Main locations of FRATCH Experts, who have recently used Java Message Service
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 
Munich 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
