Azure Service Bus Experts in Germany
, matched in minutes by AIHire experts who design messaging architectures, connect .NET and Azure services, and deliver resilient queues and topics. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used Azure Service Bus
Maximilian B.
Last position:
Co-developer at Nikan AI Solutions GmbH
Multi-Agent Document-Generation Platform
Problem:
Turn a single prompt into a well-researched, structured and cited document, while keeping the user in control: every stage can be reviewed, corrected or revisited before the system moves on.
Architecture:
A multi-agent system orchestrated by a central controller. More than 20 specialised pydantic-ai subagents (understanding, structuring, planning, research, writing, assembly, cross-reference check, glossary, citation, reference table and more) pass results forward through a shared plan persisted in Postgres (asyncpg); a runner layer dispatches each task by name to its agent, and mechanical steps such as formatting, table of contents and list of figures are deterministic code instead of LLM calls. Provider (Anthropic or OpenAI) is a configuration setting, and responses stream over Server-Sent Events.
Hosting & Infrastructure:
Stateless container run as a Scaleway Serverless Container on a private network with managed PostgreSQL, object storage for finished documents and assets, and centralized log shipping (Loki / Scaleway Cockpit), provisioned with OpenTofu modules and deployed through GitLab CI; usage is metered per API key.
My Contribution & Key Decisions:
- Central decision controller: a satisfaction classifier turns the user's free-text feedback into a verdict (keep working, advance, cancel or revise an earlier task), and a middleware applies it to the plan. Plan progression supports jumping back to earlier tasks and re-running the stages after them.
- Research and writing fan-out: planning produces a plan from which a research-design agent generates individual research tasks and a writing-design agent generates individual writing tasks, each linked to the research it needs. Every task runs in its own dedicated agent with its own conversation history.
- Self-review and human-in-the-loop: after each step a critical-thinking agent reviews the output; the user can accept, refine, or ask questions about a critique before the plan advances.
- MCP integrations: two remote MCP servers, web search and internal document search, connected through pydantic-ai with retries and long-running tool-call timeouts. Classifier agents decide per task whether web search is needed, and a small model condenses raw search results into structured findings before they reach the writing agents.
Usage Metering:
Clients authenticate with an API key validated against a key-management service; consumption is charged in credits calculated from token usage per model plus a markup, and exhausted quota is answered with HTTP 429.
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Wadim L.
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Rizwan B.
Last position:
Software Developer/Database/Devops at Sutor Bank
Project:
- Migration of existing VB6 applications to C# (Web API, web app)
- Report development and risk management systems (C#, API interfaces, databases)
- Document archive (API interfaces, databases)
Team size: 9 people
- Reports for Risk and Credit Management Development and maintenance of report structures to support risk and credit decisions, including data modeling, validation, and automated delivery for business departments.
- Migration and maintenance of a legacy system to the latest version of .NET for the asset management system Planning and execution of the modernization of an existing asset management system, including code refactoring, performance optimization, test automation, and sustainable maintenance after migration.
- Replacement of the COM-based archive connection with a REST API Redevelopment of the connection of the document archive (HYPARCHIV) to a REST API based on OpenAPI/Swagger, including archiving with index and stamp fields as well as PDF export into the customer portal.
- Redesign of payment receipt processing Replacement of an existing Oracle PL/SQL process with a new implementation in C# based on a business concept, including business alignment, data modeling, and test coverage.
- Design and implementation of tests, creation of deployment pipelines, and documentation
- Further development and implementation of change requests.
- Regular code reviews within the team as well as optimization of application scalability and stability
Technologies: C#, .NET 10, ASP.NET, Unit of Work, IoC, Three-Tier Architecture, Entity Framework Core, DB First, Web API, Swagger, OpenAPI, Python, Oracle, HYPARCHIV, Azure, PowerBI, DevOps, AKS (Azure Kubernetes Service), GIT, xUnit, NSubstitute, TypeScript, Vue.js, Pinia,
Methods: agile development using Scrum
Andreas G.
Last position:
Senior Fullstack .NET (Core) & Angular Developer at IT Service Provider
- Supporting several agile teams in the new product development of an enterprise CRM and ERP application
- Web frontend development with Angular 17–21 (microfrontends, Domain-Driven Design, MDB-Bootstrap)
- Backend development with C# and .NET 7–10, MongoDB, MassTransit, RabbitMQ, Entity Framework Core, ElasticSearch (microservices, DDD)
- Technical feature design for assigned tasks
- Technical architecture design including forward-looking planning of AI-supported extension options
- Proof-of-concept implementation of AI-supported workflows with n8n and a locally hosted LLM (Ollama)
- Coordination with stakeholders and Product Owners, support with sprint planning
Result: Delivery of production-ready microservices and frontend modules in agile sprint cycles.
Environment: .NET 7–10 · Angular 17–21 · C# · TypeScript · OpenAPI · Microfrontends · DDD · Kubernetes · Docker · Helm · MS SQL Server · PostgreSQL · MongoDB · MassTransit · RabbitMQ · EF Core · ElasticSearch · Kibana · Azure DevOps · KeyCloak · n8n · Ollama
Mojtaba G.
Last position:
Full-Stack Software Developer at Energiebereich
- Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable price determination
- Implemented modern .NET 7-based microservices and Web APIs in an Azure environment using Azure App Service, Azure Storage and Azure Service Bus
- Created and managed infrastructure in Azure using Terraform, including resource provisioning and the automation of deployment processes
- Developed and maintained Azure DevOps pipelines to optimize build, test and release workflows
- Optimized data management with SQL Server and ensured seamless integration across all services
- Developed the frontend with Angular 16, TypeScript, CSS, HTML and Kendo UI to provide an intuitive and engaging user interface
Alexander K.
Last position:
Senior Fullstack Developer at Deutsche Vermögensberatung AG (DVAG)
- Further development and maintenance of a complex sales platform with a focus on digital closing processes, customer portal interactions, and document generation for financial and insurance products
- Development and maintenance of microservices with Spring Boot 3 and Kotlin
- Frontend development with Angular 20 for displaying products, applications, and documents
- Execution of end-to-end tests with Playwright and integration tests with WireMock
- Creation and optimization of Quartz jobs and CronJobs
- Refactoring of the security configuration in a multi-realm Keycloak setup with a custom filter chain, permission evaluator, and factory routing
- Creation of dynamic emails with Thymeleaf
- Extensive error analysis with Application Insights, Log Analytics, and direct SQL debugging
- Introduction of a dynamically controlled security architecture with flexible token handling depending on path and realm
- Stabilization and clear structuring of the closing process for complex product models
- Significantly improved maintainability and readability of the code through modular refactorings
- Higher test stability and depth through combined use of Playwright, WireMock, and integration tests
- Targeted performance optimization through analysis of Hibernate statistics, query tuning, and use of SQL execution plans
- Technologies used: Java 21, Kotlin, Spring Boot 3, Angular, TypeScript, REST API, JSON, Kubernetes, Docker, PostgreSQL, Liquibase, Keycloak, OAuth2, GitHub Actions, Testcontainers, Azure Application Insights, Thymeleaf, Tilt, Microsoft SQL Server
David R.
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Jorge M.
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
Timo K.
Last position:
Senior Fullstack Developer
- Lead Developer / Tech Lead in a large banking group for a complete redevelopment of payment systems
- Rebuilding payment processing in stream processing
- Development and design of cross-border payment stream processing based on Kafka and Kafka Streams
- Development of different input formats for the business team using Drools rules to dynamically adjust validation rules
- Evaluation and comparison of different public cloud providers regarding the databases they offer
- Technologies & Tools: Java 21, Kotlin, Spring Boot, Kafka, Kubernetes, Azure, TDD, JEE, REST, Angular, Spark, Google Cloud, SCDF, PostgreSQL, Drools, Git, S3, MongoDB
Andreas K.
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Mohamed S.
Last position:
Machine Learning Engineer (Part Time) at E.ON Digital Technology
- Designed and implemented an advanced, agentic RAG pipeline using LangChain and LangGraph for structured data extraction from PDFs, utilizing tools, state management, and OpenAI LLMs (GPT-4) to improve accuracy and handle complex document structures.
- Developed a Google AI agent for extraction of structured information from PDF documents and deployed the agent on Vertex AI.
- Architected data pipelines using Azure Data Factory and Databricks to ingest data from Azure Blob Storage, process it with PySpark, and load it into Azure SQL Database via Linked Services.
- Containerized AI agents and services using Docker for consistent local development and deployment.
- Utilized PySpark and Dask for database querying in coordination with Azure Blob Storage and Document Storage.
- Created a ReAct agent that extracts structured data from PDF documents using tools and integrating Azure Document Intelligence.
- Contributed to the CPO invoices validation check project using Databricks to find existing CDRs and calculate total valid costs.
- Developed a conversational AI agent (chatbot) with a FastAPI backend, integrating RAG for precise tariff extraction and deployed the service using Azure Container Apps.
- Tools used: Azure, Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, Google ADK, Google Cloud, Vertex AI, Gemini, Databricks, LangChain, LlamaIndex Ollama, Docker, PySpark, Azure SQL, Azure Data Factory, Azure AI Agent, Microsoft SQL Server
Muhammad A.
Last position:
Senior Software Engineer at Verbund Pflegehilfe
Own Azure-hosted ASP.NET Core microservices for chronic-care workflows, sustaining 99.8% uptime across 3,000+ patient interactions.
Shape HL7 FHIR-based patient, encounter, and observation profiles delivering a unified source of truth for clinical teams and integrations.
Implement SignalR telemetry, Application Insights alerting, and automated pipelines that surface deteriorating vitals in under three seconds.
Automated consultant outreach by orchestrating Twilio voice campaigns via n8n workflows and VAPI AI assistants, boosting successful client contacts by 55%.
Entlass Manager: Led the end-to-end build of the chronic-care coordination platform, standing up Azure-native microservices, clinical data flows, and patient-facing tooling from initial requirements through production release.
Power Dialer: Built the Twilio-driven consultancy auto-dialer and n8n workflows, raising client reachability to 85%.
Discover over 15,000 top freelancers
Statistics of experts using Azure Service Bus
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.4 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Energy
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
100%
Master's degree or higher
78%
Doctorate
22%
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 Germany 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 Germany using Azure Service Bus
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.
Azure Service Bus 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%)
- Transportation (85%)
- Energy (62%)
- Banking and Finance (54%)
- Retail (54%)
- Healthcare (38%)
- Manufacturing (38%)
- Automotive (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Messaging foundation
Azure Service Bus is a fully managed message broker for connecting applications and services through queues and topics. It supports asynchronous communication, helping systems exchange work without requiring every component to be available at the same time. Companies use it to separate workloads, absorb traffic peaks and coordinate distributed processes.
Queues and topics
Queues support competing consumers and reliable point-to-point processing. Topics and subscriptions distribute messages to several consumers while applying filters for different business needs. Professionals also work with dead-letter queues, duplicate detection, message sessions, transactions, scheduled delivery and deferred messages.
Azure ecosystem
Azure Service Bus commonly connects with Azure Functions, Logic Apps, Event Grid, Event Hubs and API Management. Strong specialists understand Azure Resource Manager, managed identities, Key Vault, Application Insights and Azure Monitor. They also select suitable SDKs for .NET, Java, JavaScript, Python or other supported application stacks.
Typical delivery work
- Design queues, topics, subscriptions and message contracts
- Integrate microservices, APIs, worker processes and enterprise applications
- Configure retries, lock handling, idempotency and dead-letter workflows
- Set up monitoring, alerts, access control and deployment automation
These deliverables appear in order processing, billing, customer communication, supply chain workflows and internal integration services. Germany-based companies often involve specialists in modernisation projects where existing systems must exchange data reliably with cloud applications.
When expertise matters
Freelance expertise is useful when a proof of concept must become a production service, when queues show growing failures or when a migration from custom brokers needs a clear plan. Companies also bring in specialists to review throughput, message ordering, security and operational ownership. Remote collaboration works well when documentation, access and escalation paths are prepared; on-site work can help with complex legacy environments.
Quality signals
Strong professionals begin with delivery guarantees, failure scenarios and message ownership rather than only creating queues. They define schemas, retention choices, retry behaviour and dead-letter procedures before implementation. Look for practical experience with observability, least-privilege access, infrastructure as code and load testing. The best fit can explain when Azure Service Bus is preferable to Event Hubs, Event Grid, Storage Queues or a self-managed broker.
Frequently asked questions
Curious about Azure Service Bus? Here are the answers that come up again and again.
Azure Service Bus is used to connect applications through reliable queues, topics and subscriptions. It supports asynchronous workflows such as order processing, billing, notifications and communication between microservices.
Azure Service Bus is designed for reliable business messages, commands and workflow coordination. Event Grid focuses on lightweight event notifications, while Event Hubs is intended for high-volume event ingestion and streaming.
A strong Azure Service Bus specialist should understand Azure Functions, API Management, managed identities and Azure Monitor. Application experience with .NET, Java, Python or JavaScript is also useful, along with knowledge of distributed systems and message-driven design.
A small integration may need a specialist who can configure entities, SDK access and basic monitoring. Complex systems require deeper experience with sessions, transactions, idempotency, retries, dead-letter handling, security and production operations around Azure Service Bus.
Yes. Azure Service Bus projects are usually suitable for remote collaboration because architecture, infrastructure and message contracts can be reviewed online. Clear documentation, controlled Azure access and agreed communication in English or German help distributed teams work efficiently.
Ask the professional to explain failure handling, message locks, duplicate delivery and dead-letter recovery in a concrete scenario. A capable Azure Service Bus freelancer should also discuss monitoring, access control, deployment automation and how they would test the integration.
Azure Service Bus can be a strong choice when a company wants managed Azure operations, enterprise messaging features and integration with existing Azure identity and monitoring services. A self-managed broker may be preferable when deep protocol control, portability or a specific deployment model is more important.
Common risks include treating messages as instantly delivered, ignoring duplicate processing and setting retry policies without a recovery plan. An experienced Azure Service Bus professional defines idempotent consumers, sensible lock handling, dead-letter ownership and alerts before production launch.
The average hourly rate of freelancers in Germany who have used Azure Service Bus in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure Service Bus in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Germany who have used Azure Service Bus in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used Azure Service Bus in their recent projects are German (100%), English (100%), and Spanish (15%).
The most common industries among freelancers in Germany who have used Azure Service Bus in their recent projects are Information Technology (100%), Transportation (85%), and Energy (62%).
The most common business areas among freelancers in Germany who have used Azure Service Bus in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (62%).
Main locations of FRATCH Experts, who have recently used Azure Service Bus
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 Request a free demo
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FRATCH CEO
