
RabbitMQ Experts in Munich
to connect reliable services, matched in minutes with vetted and available freelancersHire experts who design message-driven systems, configure exchanges and queues, and connect RabbitMQ with cloud-native applications, microservices and enterprise workflows. FRATCH matches you quickly and precisely with vetted freelancers who are available for your project.
Meet FRATCH Experts in Munich, who have recently used RabbitMQ
Karen M.
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Vicenco K.
Last position:
ITSM Project Manager (self-employed)
Unified ITSM framework
- Definition of a company-wide ITSM target picture
- Introduction of a uniform service structure across all business units
SLA and OLA management
- Building a standardized SLA framework
- Definition of service classes (Business Critical, Standard, Low Priority)
- Introduction of OLAs between internal teams
- Building meaningful SLA reporting
- Definition of KPI and service dashboards for business units
Service portfolio management
- Definition of service descriptions
- If needed, preparing possible cost and service billing
Ticketing & processes
- Incident management
- Uniform ticket categories
- Standardized prioritization
- Escalation matrix
- Automations
- Self-service optimization
Request fulfillment
- Service catalog across all business units
- Approval workflows
Problem management
- Introduction of root cause analysis
- Known error database
- Problem review process
Complete asset management concept
- Hardware lifecycle management
- Software lifecycle management
- Leasing lifecycle
- Mobile device lifecycle
- Monitor lifecycle
- Phone lifecycle
Processes
- Procurement
- Goods receipt
- Inventory
- Assignment
- Return
- Disposal
- Leasing return Goal: single source of truth for all assets
CMDB design
- Definition of all configuration items:
- Workplace
- Notebooks
- Monitors
- Mobile phones
- Printers
Infrastructure
- Servers
- Firewalls
- Switches
- WLAN
- Storage
- Backup systems
Cloud
- Azure resources
- Microsoft 365
- SaaS services
Relationships
- User ↔ Asset
- Asset ↔ Service
- Service ↔ Infrastructure
- Location ↔ Asset
- Goal: make all service dependencies visible
Software asset & license management
- License management concept
- License balancing
- Compliance reporting
- Microsoft license management
- Adobe license management
- SaaS management
- Contract management
- Renewal management
Interfaces & automation Existing systems
- Workday
- Joiner
- Mover
- Leaver
TESMA
- Leasing data
- Contract data
Matrix42
- Asset synchronization
- User synchronization
Active Directory / Entra ID
- User management
Microsoft 365
- License assignment
- Group management
Dormakaba
Access processes
Lifecycle services
Monitoring platforms
- PRTG
- Palo Alto
- Cisco
Reporting & KPI framework
- Definition of a management dashboard
- KPIs
- Ticket volume
- SLA fulfillment
- MTTR
- First resolution rate
- Asset accuracy
- License compliance
- Change success rate
- Service availability
- Degree of automation
Network redesign support
- Governance
- Support of the network redesign from an ITSM point of view
- Definition of affected services
- Change management structure
- Communication concept
CMDB integration
- Recording of all network components
- Service mapping
- Dependency analysis
Validation of documentation and knowledge base articles
- Network documentation
- Operations documentation
- Standard changes
Monitoring & event management
- Target picture
- Central monitoring concept
- Event management process
- Alerting strategy
- Escalation model
Systems
Cisco
Palo Alto
Fortinet
Rubrik
Veeam
Matrix42
Azure
Microsoft 365 Automation
Ticket creation from monitoring
Escalations
Standard actions
Audit, compliance & information security
- ISO 27001 consulting
- TISAX consulting
- NIS2 preparation - consulting
- Audit-ready processes
- Documentation structure
- Evidence tracking in Matrix42
Roadmap
- 12-month roadmap
- Prioritization of all measures
- Quick wins
- Medium-term projects
- Long-term target picture
- Documentation
Markus B.
Last position:
Developer / DevOps, Consulting at A state authority in Baden-Württemberg / FSAS Technologies GmbH
Oracle Project Management and Automation
As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.
The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.
- Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
- Development and enhancement of Puppet modules for Oracle environments
- Automation of installation, configuration and operational processes using Infrastructure as Code
- Standardization and optimization of configuration management for Oracle systems
- Creation and maintenance of technical and operational documentation
- Planning, coordination and professional support during project implementation
- Operation and automation of Oracle systems on x86-based Linux server platforms
- Testing and quality assurance of the developed Puppet modules
- Analysis and resolution of technical errors as part of the automation and migration
- Close coordination with specialist departments and infrastructure teams to implement automation requirements
Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass
Thomas H.
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Stefan W.
Last position:
Architect/Software Developer at Global Logistics Support GmbH
Tasks
- Further development of a new ERP system with Blazor
- Generation of e-invoices in the XRechnung and Zugferd formats
- UI/UX design Client-server system
- Windows 11 Technology
- Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
- C#, MVVM Development tools
- Microsoft Visual Studio .NET 2022 Database
- MSSQL Industry
- Other
Daniel R.
Last position:
Software Engineer at DB InfraGO AG
- Development of dynamic web components for displaying KPIs, intelligent map applications, and operational process analysis tools
- Angular 18+
- Leaflet, MapLibre
- NestJS, JavaScript, HTML, CSS
- PostgreSQL, GraphQL, RabbitMQ
- Gitea, Jenkins, Docker
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
Hannah D.
Last position:
Fullstack Developer at DB Cargo
- Development of Blazor-Server applications for data management
- Focus on unifying design and user experience
- Mentoring junior developers
- Establishing and consulting for coding guidelines and best practices
- Technologies: .NET 9, Blazor Server, MudBlazor, HTML, CSS, MS SQL Server (T-SQL, Views, Trigger, Stored Procedures, Table-Valued Functions), Entity Framework, Visual Studio, Scrum, agile, git
Michael B.
Last position:
Scrum Master, Project Manager at GP Solutions DMCC
- Participated in the Riyadh Public Transport (KAPT) project introducing public transportation in Riyadh, supporting multimodal journeys combining bus, metro, car on demand.
- Worked via Thiqah and partnered with Andersen to refactor the mobile MaaS application DARB into a new microservices architecture under SCRUM framework, successfully completing Phase 1.
- Facilitated a team of 40 developers across Android, iOS, Web, Java, DevOps, architecture, analysis, and QA.
- Moderated Scrum events and communicated with the client, proactively reporting on project deadlines, scope, and challenges.
- Coordinated cross-team efforts between Thiqah specialists and GPS development teams, managing Jira and Azure DevOps trackers.
- Supported and improved Scrum processes throughout the project.
- Due to Thiqah’s takeover by Elm, subsequent phases were handled entirely in Saudi Arabia with GPS providing IT consulting.
- Tools: Azure DevOps, Jira, Confluence, Draw.IO, ChatGPT
Damian Ś.
Last position:
CTO at Fratch.io
- Managed end-to-end product development, overseeing the successful delivery of technical solutions.
- Led and mentored a team of highly specialised technical professionals, fostering a culture of collaboration and innovation.
- Oversaw the hiring process to build a talented and dedicated team.
- Built a scalable and robust backend microservices system from scratch, designing and extending it to meet evolving business needs.
- Ensured the system's high availability with a 99.99% up time, implementing resilient architecture and monitoring mechanisms.
- Developed and implemented technical strategies, aligning them with business goals and objectives.
Maryam N.
Last position:
Senior FullStack Developer at Camunda
- Role: Senior FullStack Developer
- Technologies: Google Cloud, Azure, Microsoft Entra, Keycloak, Spring Boot, Java
- Active in production
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Benedikt B.
Last position:
Fullstack Developer at Nimevio
- Requirements analysis and planning of the software architecture
- Analysis and design of REST APIs
- Backend development with Java 17, Spring Boot, Spring MVC, and Spring Data
- Frontend development with Angular and TypeScript
- Setting up CI/CD pipelines
- Code review, QA, and testing
- Using MySQL, Docker, the ELK stack, and RabbitMQ
Bela B.
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Ilia K.
Last position:
Senior Full-Stack Java Developer / Team Lead at Diva-e Platforms GmbH
- Led a development team delivering microservices using Java Spring Boot.
- Implemented asynchronous messaging via Kafka and RabbitMQ.
- Led team of 6 developers, improving code quality (SonarQube: 92%→ 98%).
- Reduced deployment time by 70% via optimized Jenkins + TeamCity pipelines.
- Built REST and gRPC APIs for large-scale integrations.
- Improved scalability and reliability of cloud-hosted microservices.
Discover over 15,000 top freelancers
Statistics of experts using RabbitMQ
Aggregated from the professional profiles of matched freelancers.
Experience
20 years

Position duration
1.9 years

Positions per freelancer
14

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Manufacturing

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91% (Germany: 89%)
Master's degree or higher
55% (Germany: 53%)
Doctorate
36% (Germany: 8%)

Certifications per freelancer
2

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 98%)
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 RabbitMQ
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.
RabbitMQ 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 (94%)
- Banking and Finance (61%)
- Manufacturing (50%)
- Retail (50%)
- Healthcare (44%)
- Media and Entertainment (44%)
- Government and Administration (44%)
- Automotive (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Messaging foundation
RabbitMQ is an open-source message broker based on the Advanced Message Queuing Protocol, commonly called AMQP. It routes messages between producers and consumers through exchanges, queues and bindings, allowing services to communicate without depending on one another being available at the same moment. This supports reliable, asynchronous processing across distributed applications.
Systems it supports
Companies use RabbitMQ for event-driven services, background jobs, order processing, notifications and integration workflows. It can absorb traffic spikes, preserve messages until consumers are ready and separate business services through clear messaging contracts. Typical work includes:
- Designing exchanges, queues, routing keys and bindings
- Building retry, dead-letter and acknowledgement flows
- Connecting microservices and enterprise systems
- Monitoring throughput, latency and consumer health
Ecosystem and tooling
RabbitMQ works with many languages and frameworks, including Java with Spring AMQP, .NET, Python, Node.js and Go. Strong specialists also work with AMQP clients, management tooling, plugins, container environments and Kubernetes operators. They understand clustering, federation, shovel-based transfers and authentication, rather than treating the broker as a simple queue.
When expertise matters
Freelance expertise is valuable when a proof of concept must become a dependable production service, or when queues are backing up without a clear cause. Companies also bring in specialists during migrations, architecture reviews, incident recovery and scaling work. In Munich, remote delivery is common, while regulated or complex enterprise environments may require on-site workshops and German or English collaboration.
Reliable delivery practices
Good RabbitMQ work starts with explicit delivery guarantees and failure handling. Professionals define idempotent consumers, sensible prefetch settings, message expiration and dead-letter policies before tuning performance. They document operational ownership, protect credentials, test broker recovery and connect metrics and logs to the team’s existing observability stack.
Choosing a strong specialist
Look for evidence of production messaging systems, not only familiarity with the RabbitMQ interface. A capable expert can explain why a routing design fits the workload, how messages behave during outages and which guarantees the application actually needs. They should also communicate clearly with application teams, infrastructure specialists and product owners.
A practical engagement should produce an understandable topology, deployment configuration, test coverage and runbooks. It should leave the company able to inspect queue health, investigate failed deliveries and change consumers safely. The best professionals balance RabbitMQ features with simpler alternatives when those better suit the system.
Frequently asked questions
Key details about RabbitMQ, drawn from the questions we get asked most.
RabbitMQ is used to move messages between applications and services without requiring them to process work at the same time. Common use cases include background jobs, event-driven microservices, order workflows, notifications and system integration.
RabbitMQ is primarily a message broker focused on flexible routing, queues, acknowledgements and work distribution. Kafka is commonly chosen for durable event streams, replayable history and very high-throughput data pipelines, so the right choice depends on delivery patterns and retention needs.
A strong RabbitMQ specialist usually understands AMQP clients, application frameworks, Docker, Kubernetes, cloud networking and observability. Experience with databases, distributed systems, security and failure testing is also important because messaging affects the whole application architecture.
The required depth depends on the risk and complexity of the system, not on a fixed time in the field. A small background-job setup may need focused configuration skills, while clustered brokers, strict delivery guarantees or high-consequence workflows require a professional who has operated RabbitMQ in production.
RabbitMQ projects often work well remotely because topology, configuration and monitoring can be reviewed through shared repositories and environments. On-site sessions may still help with workshops, incident response or coordination across Munich-based teams, with German or English agreed in advance.
Ask the specialist to explain routing, acknowledgement, retry and dead-letter decisions using your workload. Quality work includes failure tests, clear operational documentation, useful alerts and a plan for upgrades and recovery, rather than only a broker that appears to work in a demonstration.
A RabbitMQ design may be unsuitable when the main requirement is a long-lived, replayable event log or large-scale analytical streaming. It can also add unnecessary operational work for a simple synchronous interaction that does not need asynchronous delivery.
A capable RabbitMQ freelancer should deliver a documented topology, infrastructure or deployment configuration, client integration and tested failure handling. Depending on the engagement, useful additions include dashboards, alert rules, runbooks, security settings and guidance for future queue and consumer changes.
The average hourly rate of freelancers in Munich, Germany who have used RabbitMQ in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used RabbitMQ in their recent projects, 91% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 36% hold a doctorate.
On average, freelancers in Munich, Germany who have used RabbitMQ in their recent projects have 20 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 RabbitMQ in their recent projects are German (100%), English (94%), and Spanish (22%).
The most common industries among freelancers in Munich, Germany who have used RabbitMQ in their recent projects are Information Technology (94%), Banking and Finance (61%), and Manufacturing (50%).
The most common business areas among freelancers in Munich, Germany who have used RabbitMQ in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (61%).
Main locations of FRATCH Experts, who have recently used RabbitMQ
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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