Java Message Service Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Java Message Service
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace 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 as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the 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
Srinivasu Kakaraparti
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 Kurrle
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 Serje Reyes
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
Stefanie Deepe
Last position:
Independent Real Estate Consultant at Garant Immobilien
Advising on and selling residential and commercial properties.
Creating solid market and location analyses as well as valuation and pricing strategies.
Developing digital marketing initiatives for property promotion (virtual tours, social media ads, email campaigns).
Customer support and retention through personalized communication and automated follow-up workflows.
Michael Pförringer
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 Mazurek
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
1.9 years (Germany: 2.1 years)
Positions per freelancer
16 (Germany: 17)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
67% (Germany: 47%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
JMS basics
Java Message Service, usually called JMS, is the standard Java API for sending and receiving messages between systems. It is used for asynchronous communication, queue-based processing, and event-driven integration where direct calls are too brittle.
What it powers
- Order and payment workflows that must keep running even when one service slows down
- Background jobs and deferred processing
- Integration between Java services and messaging brokers
- Event distribution through queues and topics
Ecosystem fit
Strong JMS specialists work with brokers such as ActiveMQ, IBM MQ, RabbitMQ in JMS-compatible setups, and the messaging layers in Jakarta EE and Spring. They know message selectors, acknowledgements, transactions, redelivery, and dead-letter handling.
When teams need help
Companies usually bring in freelance expertise when a messaging layer is failing under load, when legacy JMS code needs refactoring, or when a new service must publish and consume messages safely. In Munich, this often comes up in finance, logistics, industrial software, and large internal Java landscapes.
What good experts deliver
A solid professional does more than wire a queue. They trace message flow end to end, tune delivery semantics, handle retries, and make sure consumers stay idempotent. They also document the broker setup so operations teams can support it later.
Hiring signals
- Clear experience with JMS, not just general Java
- Knowledge of broker configuration and delivery guarantees
- Ability to debug stuck consumers and duplicate messages
- Familiarity with Spring or Jakarta EE integration
- Comfortable working remote or on-site with local teams in Munich
Frequently asked questions
Curious about Java Message Service? Here are the answers that come up again and again.
Java Message Service is used to move data between systems without making every step wait for an immediate response. Companies use it for order processing, background work, integration between Java services, and reliable event delivery. It is a good fit when you need loose coupling and controlled delivery.
JMS is not the broker itself. It is the Java API that applications use to talk to a broker such as ActiveMQ or IBM MQ. A freelancer who knows both the API and the broker can solve problems faster because the code and the infrastructure are connected.
Java Message Service is the better choice when work should continue asynchronously, messages may need retries, or downstream systems must stay decoupled. REST is simpler for direct request and response flows. Many teams use both: REST for user-facing calls, JMS for internal processing.
A strong JMS professional usually knows Java well, plus Spring or Jakarta EE. Message-driven design, transactional handling, broker administration, and idempotent consumer logic matter just as much. In larger systems, logging, monitoring, and incident debugging are also important.
Java Message Service work can look simple at first, but production systems need careful handling of retries, ordering, and duplicate messages. A small integration may only need targeted help, while a complex platform benefits from someone who has already shipped messaging flows in live systems. The more critical the delivery path, the more valuable deep experience becomes.
Yes. JMS work is often code-heavy and documentation-heavy, so remote collaboration works well for most tasks. On-site time in Munich helps when teams need access to legacy systems, local infrastructure, or fast workshops with operations and security.
A strong Java Message Service expert can explain delivery guarantees, acknowledgements, retries, and dead-letter handling in plain language. Ask for examples where they fixed duplicate processing, stuck consumers, or broken transactions. Good specialists also describe how they tested the flow under failure, not just when it worked.
JMS is a mature standard for messaging in Java systems, while newer event tools may focus more on streams, cloud services, or polyglot use. JMS is often a better fit in enterprise Java landscapes that already rely on established brokers and transactional messaging. The right choice depends on the system you already run and the guarantees you need.
The average hourly rate of freelancers in Munich, Germany who have used Java Message Service in their recent projects is 91 €, which corresponds to a daily rate of about 726 € 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 67% 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 1.9 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 (29%).
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 (86%), and Automotive (71%).
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 (57%).
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 
Hamburg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
