gRPC Experts in Munich
matched in minutes from over 15,000 CVsHire experts who design protobuf contracts, implement high-performance service communication and connect polyglot microservices with gRPC. FRATCH matches you quickly and precisely with vetted, available freelancers for your project.
Meet FRATCH Experts in Munich, who have recently used gRPC
Giuseppe A.
Last position:
Embedded Software Developer at Inheco
- AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
- Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
- Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
- Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.
Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps
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).
André H.
Last position:
Linux IT Admin at ReiserST
- Development and maintenance of IT architectures with embedded Linux systems.
- Designing, implementing, and optimizing backend applications and script-based solutions.
- Analyzing and resolving issues, including troubleshooting and user support.
- Developing and implementing security concepts for cloud solutions.
- Administering networks (DHCP, DNS, NTP, VPN).
- Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
- Methods: Kanban.
Enis S.
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
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
Subodh K.
Last position:
Senior Software Engineer at EDAG Engineering GmbH
Project Title: Path Planning Module Development (Oct 2024 – Jun 2025)
Developed path planning module using C++14 and CMake
Implemented gRPC communication protocol between modules
Performed unit testing using Pytest framework and Python
Project Title: HMI Programming for Battery, Fuel Cell Electric Vehicle (Aug 2023 – Sep 2024)
Developed HMI software for BEV/FCEV using Ruby and Crystal for backend
Implemented frontend using Vue.js framework
Conducted bug fixes and simulator testing
Project Title: IFHOST CAN Bus Programming (Jan 2023 – Jul 2023)
Programmed CAN bus software using C and C++
Executed unit tests with Google Test framework
Performed integration testing using CAPL in Vector CANalyzer
Participated in onsite testing
Maziyar K.
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
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)
Parim S.
Last position:
Backend Engineer (WS) at Avelios Medical GmbH
- Contributing to backend system development for a digital health platform
- Developing and maintaining gRPC-based microservices using Spring Boot
- Writing and optimizing automation scripts in Python, Unix, and Windows environments
- Collaborating in a cross-functional agile team to integrate new features
- Tech stack: Java, Spring Boot, gRPC, SQL, Windows/Unix scripting, Python
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 gRPC
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 16 years)
Position duration
2.1 years (Germany: 1.7 years)
Positions per freelancer
10 (Germany: 12)
Top business areas
Product Development, Information Technology, Project Management
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Logistics
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
89% (Germany: 41%)
Doctorate
22% (Germany: 6%)
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 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 gRPC
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.
gRPC 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 (80%)
- Banking and Finance (50%)
- Healthcare (50%)
- Transportation (40%)
- Manufacturing (40%)
- Government and Administration (40%)
- Telecommunication (40%)
- Aerospace and Defense (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Service communication
gRPC is a framework for calling functions across network boundaries as if they were local. It uses Protocol Buffers to define service contracts and commonly runs over HTTP/2. Companies use it for fast, structured communication between backend services, internal APIs and distributed applications.
Contracts and APIs
Experts work with .proto files to define messages, methods and service interfaces before implementation begins. Generated client and server code keeps contracts consistent across languages and supports unary, server-streaming, client-streaming and bidirectional streaming calls.
- Model stable protobuf contracts
- Generate language-specific service code
- Manage compatibility as APIs evolve
Ecosystem and tooling
A strong gRPC specialist understands the surrounding toolchain, not only the transport layer. Typical work includes grpcurl, reflection, interceptors, deadlines, metadata, channel configuration and observability with logs, traces and metrics. Common integrations include Kubernetes, service meshes and CI pipelines.
Where it fits
gRPC suits internal microservice communication, real-time data streams, control planes and high-throughput platform components. It often connects services written in Go, Java, C#, C++, Python or Node.js, while REST or JSON remains useful for browser-facing and broadly consumed public APIs.
When to bring in expertise
Companies bring in freelance professionals when service boundaries need redesigning, legacy APIs are being replaced or production calls are difficult to diagnose. Munich teams can collaborate with specialists on-site or remotely, depending on security, architecture and workshop needs. Clear English is common; German may help in local stakeholder work.
- Establish API and versioning guidelines
- Introduce gRPC into an existing service landscape
- Diagnose latency, retries and streaming failures
- Prepare testing and rollout practices
What strong professionals know
The best professionals balance protocol knowledge with practical distributed-systems judgment. They set deadlines, cancellation and retry policies carefully, handle backward compatibility, secure channels with appropriate identity controls and test failure modes. They also explain when REST, messaging or another integration pattern is the better choice.
Frequently asked questions
Questions about gRPC? Start with the answers below.
gRPC is used for structured communication between services, especially in microservice systems and internal platforms. It supports generated clients, streaming calls and strongly defined contracts across several programming languages.
gRPC usually offers compact Protocol Buffers messages, generated interfaces and efficient HTTP/2 communication. REST is often easier for public APIs, browser clients and broad third-party access, so the right choice depends on consumers and integration needs.
A strong gRPC specialist should understand Protocol Buffers, API versioning, distributed systems and service observability. Experience with Kubernetes, security, CI pipelines and languages such as Go, Java or C# is also useful.
The need depends on the scope and risk of the service landscape. A smaller integration may need focused API and troubleshooting skills, while a platform migration benefits from a professional who has handled compatibility, streaming, security and failure recovery in production.
Yes, gRPC work is often well suited to remote collaboration because contracts, code reviews and diagnostics are digital. On-site sessions in Munich can still help when teams need architecture workshops, access to restricted systems or close coordination with local stakeholders.
gRPC may be a poor fit for browser-first public APIs, simple integrations or consumers that cannot use generated clients easily. REST, GraphQL or asynchronous messaging can be more practical when discoverability, flexible queries or loose coupling matters most.
Ask how the gRPC professional handles protobuf evolution, deadlines, retries, cancellation, authentication and observability. Strong answers include concrete testing and rollout practices rather than focusing only on creating service methods.
A gRPC freelancer may deliver protobuf definitions, generated service integrations, gateway configurations, tests and operational guidance. Depending on the assignment, the work can also include migration plans, performance investigations and documentation for service consumers.
The average hourly rate of freelancers in Munich, Germany who have used gRPC in their recent projects is 83 €, which corresponds to a daily rate of about 661 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used gRPC in their recent projects, 100% hold at least a Bachelor's degree, 89% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Munich, Germany who have used gRPC in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Munich, Germany who have used gRPC in their recent projects are German (100%), English (100%), and Spanish (30%).
The most common industries among freelancers in Munich, Germany who have used gRPC in their recent projects are Information Technology (80%), Banking and Finance (50%), and Healthcare (50%).
The most common business areas among freelancers in Munich, Germany who have used gRPC in their recent projects are Product Development (100%), Information Technology (90%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used gRPC
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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