gRPC Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used gRPC
Giuseppe Abrignani
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 Hoefkens
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 Howe
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 Spahi
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 Boldasov
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 Kumar
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 Khorrami
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 Carton
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 Suka
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 Kritiuk
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: 1.8 years)
Positions per freelancer
10 (Germany: 11)
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: 42%)
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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What gRPC does
gRPC is a high-performance RPC framework for service-to-service communication. It is used to connect microservices, internal APIs, and streaming systems with strict contracts and efficient message exchange. Teams choose it when REST is too loose or too slow for the job.
Where it fits
- Microservices that need low latency and typed interfaces
- Internal APIs for backend, mobile, and platform teams
- Bidirectional streaming for live updates and event flows
- Polyglot systems where services run in different languages
Core stack
gRPC is closely tied to Protocol Buffers, service definitions, and generated client and server code. Strong specialists work with HTTP/2, deadlines, interceptors, load balancing, and observability tools. They also know when to place gRPC behind a gateway for browser access.
When companies need help
Companies bring in freelance expertise when a service mesh is growing, an API contract is unstable, or a migration from REST or older RPC code needs care. In Munich, this often comes up in enterprise software, cloud teams, and product groups that need remote specialists who can work in English and align with local teams on site when needed.
What strong specialists deliver
A good gRPC professional writes clean proto files, keeps compatibility intact, and avoids breaking changes between services. They think about error handling, auth, streaming behavior, and package layout from the start. They also document contracts so other experts can use them without guesswork.
Signs you need one
- Client and server code drift apart after frequent changes
- Streaming endpoints are hard to debug or monitor
- Proto schemas break existing consumers
- Teams need guidance on gRPC, protobuf, and gateway patterns
- Performance issues appear in service calls or serialization
Frequently asked questions
Questions about gRPC? Start with the answers below.
gRPC is used for fast, typed communication between services, especially in microservices and internal APIs. It is also a strong fit for streaming, where a request and response model is not enough. Teams often choose it for backend systems that need clear contracts and efficient payloads.
gRPC is usually chosen when teams want stronger interface contracts, better performance, and built-in streaming. REST is often easier for public APIs and browser-first work, while gRPC fits backend-to-backend traffic better. Many teams use both: REST at the edge, gRPC inside the system.
A strong gRPC specialist usually knows Protocol Buffers, HTTP/2, service design, and backward-compatible schema changes. Experience with observability, authentication, and gateway patterns helps too. In mixed stacks, language fluency across Go, Java, or Python is often important.
Not every project needs a full-time specialist, but even a small gRPC migration benefits from someone who knows contracts and compatibility risks. The most common problems are subtle: broken protobuf changes, poor error mapping, or weak client generation. A short freelance engagement can prevent expensive rework later.
gRPC can work with browsers, but not in the same direct way as a native service client. Teams often use gRPC-Web or put a gateway in front of the services. A specialist helps pick the right approach based on the front end, proxies, and deployment setup.
For gRPC work in Munich, remote collaboration is common because the key tasks are code, contracts, and reviews. On-site time can help when teams need close alignment on architecture or rollout planning. Many projects mix both, especially when English is the main working language and local coordination still matters.
Look for clean proto design, stable versioning, and clear handling of errors, deadlines, and streaming cases. A good gRPC expert also explains trade-offs instead of only generating service code. If the person can show how they kept clients compatible during change, that is a strong sign.
gRPC is not a replacement for a message broker, but it works well in systems that need synchronous calls plus streaming. It can pair with Kafka, NATS, or other event tools when services need both request-response and async flows. The right specialist will separate those responsibilities cleanly.
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.
Berlin 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
