
Java Message Service Experts in Germany
, matched in minutes from over 15,000 CVs with the power of AIHire experts who design asynchronous messaging, integrate JMS with Spring and Jakarta EE, and deliver resilient event-driven services. FRATCH finds precise matches with vetted, available freelancers quickly.
Meet FRATCH Experts in Germany, who have recently used Java Message Service
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
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.
Kyu-Wang L.
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 S.
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
Srinivasu K.
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
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)
Olaf T.
Last position:
BI Architect in a Kanban Team at Gulp / Randstad for HHLA
- Creation of automated tests.
- Extension of the functionality of the enterprise BI data warehouse.
- Design and development in SQL and PL/SQL.
- Data modeling as well as performance measurement and tuning.
- Creation of and contribution to user stories and concepts.
- Technical environment: Windows, Linux.
- Database: Oracle 19c incl. DWH, CDB, PDB.
- Tools: Confluence, CVS, Eclipse, Git, GitLab, Jira, N4, PL/SQL, SQL Developer, utPLSQL.
Stephan H.
Last position:
Development, Tester at Telecommunications
Set up an operational contract information system. This is mainly used as an order management system - for migrating existing contracts as well as for creating and providing new contract bundles.
Sales agents can use it to order new services, modify existing ones and migrate service types, as well as provide price information to the customer.
This supports the marketing of new services as well as the replacement of old services for existing customers.
In addition, existing data is imported, processed (ETL) and provided via services for further use in the portal front end.
Analysis of the business and technical use cases (workflows, involved processes/systems, communication paths, security requirements)
Further development / creation of the front-end components (React/JavaScript)
Design and implementation of the business logic
Creation of the functional and technical component documentation
Test execution / test automation (Cypress, test coverage)
Team size: 8 people
Technologies: React, JavaScript, Rest (JSon), Yaml, Markdown, MariaDB (SQL), Docker, Swagger, Cypress
Tools: Webstorm, ReactDeveloperTools, VisualStudioCode, Word, DBeaver, Git/GitLab
Work management: GitLab
Platform: Linux
Build management: GitLab
Timo H.
Last position:
Software Developer at Continentale Krankenversicherung AG
- Implementation of a REST-based web service for querying contract, claims, customer, and sales data as part of the Dialogmanager project.
- Data release is done in compliance with CoC requirements and individual user permissions from IAM (Identity and Access Management).
- Implementation using JBoss EAP 8.1 (JakartaEE 10) and Java 21 as well as JAX-RS, CDI, Microprofile-Config, Microprofile-OpenAPI.
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
Discover over 15,000 top freelancers
Statistics of experts using Java Message Service
Aggregated from the professional profiles of matched freelancers.
Experience
25 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
50%
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 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 19 Sep 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 (42%)
- 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 the Java API for sending and receiving messages between independent application components. It supports asynchronous communication, point-to-point queues and publish-subscribe topics. Companies use it to reduce direct dependencies between services and keep work moving when systems are busy or temporarily unavailable.
What it builds
JMS appears in transaction processing, order workflows, customer notifications, inventory updates and integration layers between established enterprise systems. It is useful when a task should be accepted now and completed by another component later.
- Queue-based background processing
- Event distribution through topics
- Reliable hand-off between services
- Integration of Java applications and enterprise systems
Ecosystem and tooling
Professionals work with JMS providers such as Apache ActiveMQ, Artemis and IBM MQ, as well as application servers and Spring-based applications. They understand connection factories, destinations, message listeners, selectors, acknowledgements and delivery modes. Modern projects may use Jakarta Messaging, the successor under the Jakarta EE namespace, while maintaining compatibility with existing JMS systems.
When specialists help
Companies bring in freelance expertise when message flows are unreliable, legacy integrations need renewal or a new service must interact safely with existing queues. Specialists can trace redelivered messages, tune consumers, define retry and dead-letter handling, and connect messaging to databases, REST services or cloud infrastructure. In Germany, this work often supports manufacturing, logistics, banking and enterprise software environments.
Delivery and collaboration
A strong specialist maps business events to clear message contracts and documents ownership, ordering and failure behaviour. They configure security, transactions and observability rather than treating the broker as a black box. Remote collaboration works well when access, runbooks and test environments are ready; on-site sessions can help with protected infrastructure and complex legacy estates.
Signs of quality
Look for professionals who can explain why messaging is preferable to direct calls in a given workflow and who have operated systems beyond a local test setup. Useful evidence includes production incident analysis, migration plans and automated integration tests.
- Clear queue and topic design
- Idempotent consumers and safe retries
- Monitoring for lag, failures and redelivery
- Practical broker and security knowledge
- Precise documentation for operations teams
Frequently asked questions
Curious about Java Message Service? Here are the answers that come up again and again.
Java Message Service is used to exchange messages between Java applications and independent components. JMS supports queues for one consumer and topics for multiple subscribers, making it suitable for background work, event notifications and enterprise integration.
JMS decouples the sender and receiver, so the receiving component does not need to be available at the exact moment a message is sent. REST and direct calls are often simpler for immediate request-and-response interactions, while messaging is stronger for buffering, retries and asynchronous workflows.
Jakarta Messaging is the current Jakarta EE successor to the Java Message Service API, following the namespace transition from Java EE. The programming model remains familiar, but project dependencies, imports and provider compatibility must be checked during a migration.
A strong JMS specialist usually understands Spring, Jakarta EE, Java transactions and relational databases. Experience with ActiveMQ Artemis, IBM MQ, Kafka, Docker, Kubernetes, monitoring and enterprise security is also valuable when messaging is part of a wider integration landscape.
The right level depends on the risk and scope of the system, not on a fixed career label. A small integration may need focused queue and listener expertise, while a regulated or highly distributed environment calls for a JMS specialist who can handle transactions, recovery, observability and migration planning.
Yes, Java Message Service work can usually be done remotely with secure access to brokers, repositories, logs and test environments. On-site collaboration may be useful for protected networks, hardware-linked systems or workshops with operations teams, while German or English communication should match the project.
Ask the JMS professional to explain message ordering, acknowledgement modes, retries, duplicate delivery and dead-letter queues in the context of your workflow. Good answers connect design choices to failure recovery, monitoring, testing and operational ownership rather than focusing only on API syntax.
Java Message Service is often a good fit when an existing Java or Jakarta EE estate already relies on transactional queues and enterprise brokers. Kafka is designed for durable event streams and high-throughput replay, while cloud queue services reduce infrastructure ownership; the best choice depends on delivery guarantees, integration needs and operational constraints.
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 772 € 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, 50% 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 25 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.
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