Java Message Service Expert in Munich
for reliable event-driven systems, matched in minutes with vetted freelancersHire experts who design JMS messaging flows, configure brokers such as ActiveMQ and IBM MQ, and connect Java services with reliable asynchronous communication. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Java Message Service
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
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
Stefanie D.
Last position:
Independent Real Estate Consultant at Garant Immobilien
Consulting and sales of residential and commercial properties.
Creation of well-founded market and location analyses as well as valuation and pricing strategies.
Development of digital marketing measures for property marketing (virtual tours, social media ads, email campaigns).
Customer support and retention through personalized communication and automated follow-up workflows.
Celso K.
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
Cristian S.
Last position:
Team Lead Mobile Native Apps at Check24 GmbH
- Built and managed a high-performing native app team (Android & iOS) from scratch
- Modernized the finance application with new features, leveraging Kotlin, Java, and Spring Boot microservices
- Introduced and scaled backend services enabling secure, high-traffic financial transactions for millions of users
- Improved development efficiency with custom tools for crash reporting, CI/CD pipelines, and release management
- Led recruitment, coaching, and mentoring of developers, fostering professional growth and cross-functional collaboration
Michael P.
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Janusz M.
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
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 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
75%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Munich 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 Munich 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 (100%)
- Banking and Finance (88%)
- Automotive (75%)
- Telecommunication (63%)
- Retail (50%)
- Media and Entertainment (38%)
- Professional Services (38%)
- Tourism (38%)
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 standard Java API for sending and receiving messages between applications. It supports asynchronous communication, point-to-point queues and publish-subscribe topics without forcing services to run at the same time. JMS helps separate producers from consumers and keeps business workflows moving when systems are busy or temporarily unavailable.
Queues and delivery
JMS specialists work with message producers, consumers, sessions, destinations and connection factories. They configure acknowledgements, transactions, delivery modes, message selectors and redelivery handling so systems behave predictably. Good designs also address ordering, duplicate messages, poison messages and dead-letter queues instead of treating message delivery as a simple handoff.
Brokers and tooling
JMS is an API, so the broker supplies the runtime that stores, routes and delivers messages. Common ecosystems include Apache ActiveMQ Artemis, IBM MQ, Solace and vendor products integrated with Jakarta EE or Spring. Professionals may also use Spring JMS, JNDI, JTA, Docker, Kubernetes, observability tools and broker management consoles.
Typical delivery work
- Replace tightly coupled service calls with queue-based workflows
- Connect Java applications to ActiveMQ, IBM MQ or other JMS providers
- Design retry, acknowledgement and dead-letter strategies
- Migrate from older javax.jms implementations to jakarta.jms
- Test throughput, ordering, failover and recovery behavior
These deliverables appear in payment processing, logistics, manufacturing, retail and enterprise integration. In Munich, teams often need JMS expertise for Java systems that connect internal applications with long-running operational processes.
When expertise matters
Companies bring in freelance JMS professionals when a broker migration, integration program or production incident exposes gaps in messaging design. Specialist help is valuable when queues grow unexpectedly, consumers lose messages, retries create duplicates or a synchronous architecture cannot handle uneven workloads. Remote collaboration works well when teams document broker topology, message contracts and runbooks; on-site work can help during cutovers involving local operations teams.
Strong professional signals
Strong professionals explain delivery guarantees in practical terms and distinguish at-most-once, at-least-once and effectively-once processing. They trace a message across producers, brokers and consumers, secure connections, and make failures visible through logs, metrics and alerts. They also understand Java concurrency, SQL transactions, REST integration and deployment automation, while documenting assumptions so another team can operate the system safely.
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 through queues or topics. Companies use JMS for asynchronous workflows such as order processing, payment handling, inventory updates and integration between enterprise systems.
JMS provides a Java API for messaging, while REST usually supports synchronous request-and-response communication. Kafka is built around distributed event streaming and durable logs; JMS brokers typically focus on enterprise queues, topics, transactions and managed delivery. The right choice depends on ordering, replay, transaction and integration requirements.
A strong Java Message Service specialist usually works with a broker such as ActiveMQ Artemis, IBM MQ or Solace. Useful adjacent skills include Spring JMS, Jakarta EE, JTA transactions, JNDI, Docker, Kubernetes, Java concurrency and observability.
JMS work that changes production delivery behavior calls for experience with broker configuration, retries, acknowledgements and failure recovery. A smaller integration may need focused API knowledge, while a migration or high-volume workflow requires someone who has diagnosed message loss, duplicates and blocked consumers in comparable systems.
Java Message Service projects are often suitable for remote collaboration because configuration, code review, testing and monitoring can be handled through shared tools. On-site presence in Munich may still help for broker cutovers, restricted networks or workshops with operations and integration teams. German or English communication should be agreed before work starts.
Before engaging a JMS professional, document the broker, Java and Jakarta EE or Spring versions, message types, delivery expectations and current failure symptoms. Access requirements, deployment environments, transaction boundaries and monitoring gaps also help the specialist estimate the work accurately.
Ask how the candidate would handle duplicate delivery, consumer failure, poison messages and a broker outage in your specific workflow. A capable Java Message Service professional can explain trade-offs, propose observable tests and show how message contracts, retries and dead-letter handling will be documented.
A JMS migration may involve changes from javax.jms to jakarta.jms, broker-specific behavior, connection settings and transaction configuration. Teams should test selectors, acknowledgement modes, redelivery, ordering and failover rather than assuming that an application will behave identically with a new provider.
The average hourly rate of freelancers in Munich, Germany who have used Java Message Service in their recent projects is 92 €, which corresponds to a daily rate of about 738 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Java Message Service in their recent projects, 100% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Munich, 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 years.
The most common languages among freelancers in Munich, Germany who have used Java Message Service in their recent projects are German (100%), English (100%), and Spanish (38%).
The most common industries among freelancers in Munich, Germany who have used Java Message Service in their recent projects are Information Technology (100%), Banking and Finance (88%), and Automotive (75%).
The most common business areas among freelancers in Munich, Germany who have used Java Message Service in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (50%).
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.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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