Docker Compose Experts in Munich
, matched with vetted freelancers in minutesHire experts who define multi-container application environments, connect services through Compose networking, and automate repeatable development workflows with Dockerfiles and CI pipelines. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Docker Compose
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).
Vitaliy R.
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Christian T.
Last position:
HDI DevOps & Fullstack Engineer at HDI
- Spring Boot Software Engineer
- DevOps Engineer (Kubernetes, Azure DevOps)
Toolstack: Java, Spring Boot, Kubernetes, Helm, GitOps, ArgoCD, Docker, Azure DevOps, CI/CD Pipelines, Git, Postgres
Frederik C.
Last position:
Freelance Full-Stack Software Developer at Bundesdruckerei GmbH
Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)
Implementation of user stories in several microservices (frontend and backend)
Ensuring quality with unit, integration, and E2E tests
Conducting code reviews
Coordination with other development teams
Taking over the software license check and simplifying the process
Responsibility for implementing and documenting the business logging
Setting up a development environment with Docker Compose
Alois F.
Last position:
Software Architect / Backend Developer at GEO API
- Design and implementation of a Laravel backend API for provider-based geo search, feature details, boundary geometries and neighborhood detection.
- The API serves as a server-side proxy, cache and enrichment layer, protecting credentials for external geo services and persisting features, localizations, geometries, hierarchies and neighborhood relationships in MariaDB.
- Key areas included normalization of autocomplete and feature data, caching strategies for expensive boundary/polygon requests, spatial processing of GeoJSON and MultiPolygon geometries, as well as neighborhood detection using hierarchies, bounding box filters and topology checks.
- Additionally, separate production and diagnostic endpoints were created, along with status and error catalogs, discovery logging, a Docker development stack, API documentation, and unit and feature tests.
- Technologies: PHP 8.3, Laravel, REST API, geo data API, GeoJSON, MariaDB Spatial, Eloquent, Laravel Queues, PHPUnit, Mockery, Docker, Docker Compose, API design, geocoding, boundary data, spatial queries.
Boris N.
Last position:
Fullstack Developer & DevOps Engineer at EnBW Energie Baden-Württemberg
- Further development of the internal "ECockpit" platform with an Angular 17 frontend and .NET (C#) backend
- Maintenance and further development of Azure DevOps pipelines
- Introduction of technical improvements in build & release processes
- Collaboration on a modular architecture approach (Clean Architecture & DDD)
- Focus on scalability and secure data processing
- Tech stack: Angular 17, .NET / C#, Azure, Azure DevOps, Git, CI/CD, Clean Architecture, Domain Driven Design
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
Janusz M.
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))
Sebastian F.
Last position:
Managing Director System Administration & DevOps at Far Galaxy Networks
- Windows application migration using Windows Server 2022/2025, DHCP, Active Directory, directory trust and setup, GPO management
- Cloud service automation, firewall and network management, debugging
Discover over 15,000 top freelancers
Statistics of experts using Docker Compose
Aggregated from the professional profiles of matched freelancers.
Experience
21 years (Germany: 18 years)
Position duration
1.5 years (Germany: 5.3 years)
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Energy
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
100% (Germany: 85%)
Master's degree or higher
60% (Germany: 51%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Italian
Speak two or more languages
100% (Germany: 99%)
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 Docker Compose
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.
Docker Compose 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%)
- Banking and Finance (67%)
- Energy (56%)
- Insurance (56%)
- Automotive (44%)
- Manufacturing (44%)
- Media and Entertainment (44%)
- Professional Services (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Docker Compose does
Docker Compose is a tool for defining and running multi-container applications from a single YAML file. It coordinates services such as web applications, APIs, databases, queues and caches, so teams can start a consistent environment with a repeatable command. Compose is commonly used for local development, integration testing and small production workloads.
Core configuration
A Compose project describes services, images, build contexts, ports, volumes, networks and environment settings. Strong configuration separates application code from secrets, uses clear service dependencies and defines health checks where startup order matters. Professionals also manage overrides for development, testing and deployment without creating fragile copies of the same file.
Ecosystem and tooling
Docker Compose works alongside Dockerfiles, Docker Engine, container registries and CI systems. It can connect application services to PostgreSQL, MySQL, Redis, RabbitMQ, Elasticsearch and other containerized dependencies. Typical tasks include:
- Creating development environments that match team and CI requirements
- Adding persistent volumes, private networks and service health checks
- Integrating Compose workflows with GitHub Actions, GitLab CI or similar tools
- Preparing a clear path from local Compose usage to an orchestration platform
When companies need specialists
Companies bring in freelance expertise when a multi-service project is slow to start, difficult to reproduce or frequently fails between local and CI environments. Specialists can convert manual setup into documented Compose files, isolate configuration problems and improve onboarding for distributed teams. In Munich, this work often supports software products, industrial systems, commerce applications and internal business services.
Compose compared with alternatives
Compose is simpler than Kubernetes for local and limited-scope environments, while Kubernetes is designed for broader orchestration, scheduling and operations across clusters. It also differs from a single Docker command by expressing the complete relationship between services in version-controlled configuration. Professionals know when Compose is enough and when a project needs Kubernetes, Nomad or a managed container service instead.
What strong professionals deliver
The best professionals treat Compose as part of a wider delivery system, not just a way to start containers. They understand Linux networking, DNS, TLS, storage, application configuration, Docker image design and CI troubleshooting. They document commands and assumptions, keep environments reproducible, and explain trade-offs clearly to teams working remotely or on site. German or English collaboration can fit Munich-based projects, depending on the company and stakeholders.
Frequently asked questions
Before you brief your next project: the most common questions about Docker Compose.
Docker Compose is used to define and run applications made of connected containers. A Compose file can start an API, database, frontend, queue and supporting services with shared networks, volumes and environment settings. It is especially useful for local development, integration testing and reproducible team setups.
Docker Compose is focused on managing a defined group of containers on a development machine or limited deployment environment. Kubernetes adds cluster scheduling, scaling, service discovery and more extensive operational controls. A capable freelancer should explain whether Compose meets the project’s needs or whether Kubernetes or a managed container service is more appropriate.
A strong Docker Compose specialist usually understands Dockerfiles, Linux, container networking, volumes, registries and CI pipelines. Knowledge of application configuration, secret handling, databases and orchestration tools helps them connect local workflows to later deployment stages.
A small Compose setup may only require familiarity with service definitions, images, ports and volumes. More demanding work calls for a professional who has diagnosed networking issues, handled persistent data, optimized image builds and aligned local environments with CI or staging. Judge the required depth by the number of services, deployment target and consequences of downtime.
Docker Compose supports remote collaboration because its configuration can be versioned, reviewed and shared across machines. A Munich-based project can work remotely or combine remote and on-site sessions, provided the expert documents prerequisites, manages secrets safely and agrees whether communication should be in German, English or both.
Hire a Docker Compose freelancer when environments differ between team members, container startup is unreliable or onboarding depends on manual instructions. External expertise is also useful when a project needs a clean Compose structure before moving selected workloads to Kubernetes or another orchestration service.
Ask a Docker Compose professional to explain service boundaries, dependency handling, health checks, volumes, networks and secret management. Review whether the configuration is reproducible, minimal and documented, then test failure cases such as a missing dependency, a recreated container or lost transient data.
Working with Docker Compose often means improving the boundary between application code and infrastructure configuration. Freelancers should be comfortable reading existing Dockerfiles, tracing container logs, debugging DNS and ports, and integrating Compose commands into CI while keeping developer workflows simple.
The average hourly rate of freelancers in Munich, Germany who have used Docker Compose in their recent projects is 91 €, which corresponds to a daily rate of about 732 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Docker Compose in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used Docker Compose in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Munich, Germany who have used Docker Compose in their recent projects are German (100%), English (100%), and Italian (22%).
The most common industries among freelancers in Munich, Germany who have used Docker Compose in their recent projects are Information Technology (100%), Banking and Finance (67%), and Energy (56%).
The most common business areas among freelancers in Munich, Germany who have used Docker Compose in their recent projects are Information Technology (100%), Product Development (89%), and Project Management (56%).
Main locations of FRATCH Experts, who have recently used Docker Compose
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
