Java Message Service Experts in Munich
to connect reliable systems with precise AI matchingHire experts who design JMS messaging flows, integrate ActiveMQ or IBM MQ, and secure asynchronous Java services. FRATCH quickly matches you with vetted, available freelancers whose experience fits your architecture and delivery needs.
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
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.
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
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
26 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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich 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 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 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 (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 Java API for sending and receiving messages between distributed applications. It supports asynchronous communication, work queues, event notifications and reliable handoffs between services. Companies use it to reduce direct dependencies and keep processing resilient when systems are busy or temporarily unavailable.
Core delivery models
JMS supports point-to-point queues and publish-subscribe topics. Strong implementations define message formats, acknowledgement behavior, delivery modes, transaction boundaries and retry handling. They also plan for duplicate delivery, poison messages, ordering requirements and dead-letter destinations instead of treating messaging as a simple transport layer.
Ecosystem and tooling
JMS specialists work across application servers, Java frameworks and message brokers. Common environments include Jakarta Messaging, Spring JMS, ActiveMQ Artemis, IBM MQ, TIBCO EMS and Oracle AQ. They connect brokers with Spring Boot services, Jakarta EE applications, monitoring systems and security controls, while handling connection factories, listeners, selectors and connection pooling.
Where companies use it
- Coordinate orders, payments and inventory updates across enterprise systems
- Move integration messages between Java services and legacy applications
- Process background work without blocking customer-facing requests
- Distribute business events to several independent consumers
- Isolate failures in logistics, manufacturing, finance and public-sector workflows
In Munich, JMS expertise can support local manufacturing, insurance, mobility and enterprise software teams. The work may require close on-site collaboration, remote delivery or a hybrid setup with clear communication in English and, where needed, German.
When freelance expertise helps
Companies bring in freelance JMS professionals during broker migrations, integration releases, production incidents and modernization programs. They can review an existing messaging topology, replace fragile synchronous calls, tune consumers, establish observability or connect Java workloads to legacy queues. A specialist is also useful when internal teams need a safe delivery plan without slowing daily operations.
What strong specialists show
Strong professionals explain trade-offs rather than treating JMS as a generic queue. They can trace a message from producer to consumer, test rollback and redelivery behavior, secure broker connections and diagnose latency through logs and metrics. Look for practical knowledge of transaction management, schema evolution, deployment automation and incident response, plus clear documentation that helps the team operate the system after handover.
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 other enterprise systems without requiring both sides to be available at the same moment. It supports queues for one consumer and topics for multiple subscribers, making it useful for integrations, background processing and business events.
JMS is a Java messaging API that standardizes interaction with brokers such as ActiveMQ Artemis or IBM MQ. REST is usually request-driven, while JMS supports broker-managed delivery and asynchronous workflows; Kafka is an event-streaming platform with a different storage, scaling and replay model. The right choice depends on delivery guarantees, interoperability, ordering and operational requirements.
A strong Java Message Service specialist should understand Java, Spring or Jakarta EE, broker administration, SQL-backed transactions and enterprise integration patterns. Useful adjacent skills include Docker, Kubernetes, automated testing, observability, TLS, authentication and CI/CD deployment.
The answer depends on the risk and scope of the messaging landscape, not simply on the API. A small integration may need focused implementation support, while a regulated or highly distributed system needs a professional who has handled transactions, failover, redelivery, monitoring and production incidents.
JMS work is often suitable for remote collaboration because configuration, code review, testing and broker diagnostics can be performed securely online. On-site sessions in Munich may still help with workshops, legacy-system access or incident planning, especially when several internal teams must agree on message ownership.
Ask which broker, Java runtime, framework and deployment model the professional has worked with. Munich teams should also clarify on-site expectations, remote access rules and whether project communication requires English, German or both. A clear system diagram and sample failure cases make technical evaluation more useful.
Look for a clear explanation of acknowledgement, transaction, retry, ordering and dead-letter decisions. High-quality Java Message Service work includes repeatable tests, useful metrics, secure connections, failure recovery procedures and documentation that another team can operate without relying on the original specialist.
A JMS professional may deliver broker configuration, producer and consumer components, message schemas, integration tests and deployment manifests. The handover should also cover topology diagrams, operational runbooks, alert definitions, security settings and documented decisions about retries, duplicates and poison messages.
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 739 € 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 26 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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Philipp Thomaschewski
FRATCH CEO
