Docker Compose Experts in Berlin
for reliable local environments, matched in minutes with vetted professionalsHire experts who define multi-container applications, connect services through Compose networking, and streamline development-to-production workflows. FRATCH matches you quickly and precisely with vetted, available freelancers for your Docker Compose project.
Meet FRATCH Experts in Berlin, who have recently used Docker Compose
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.
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Tobias J.
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Maurizio F.
Last position:
Python Software Developer at Schönhofer Sales and Engineering GmbH
- Implemented a command line interface (CLI) for integration of REST APIs of various microservices for end users
- Centralized and simplified interaction with services through the CLI
- Implemented a REST microservice for custom data schemas based on an API-first approach
- Developed event-driven control with RabbitMQ to connect to other services
- Deployed services using Docker and Kubernetes and extended the CLI
- Managed complexity and data volume handling through the microservice
Olaf N.
Last position:
Frontend Engineer at Danaher/Hach Lange GmbH
- Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
- Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
- Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
- Refined requirements with UX team and water analysis system engineers
- Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
- Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
- Managed MQTT pub/sub services and schema-based message validation in frontend
- Coached two junior frontend developers
- Worked in an agile remote team using JIRA, Git, and Bitbucket
Christopher M.
Last position:
Mobile & Full-Stack Engineer at Propstack GmbH
- Refactored the mobile app by reimplementing stores, models, API client, screens and components using Typescript
- Added performant on-device storage for stores as preparation for offline mode
- Integrated RNUILib to achieve a minimal and modern UI design quickly
- Implemented native packages to provide additional features such as displaying of caller IDs
- Planned feature development and UX improvements following initial refactoring and redesign
Mohamed G.
Last position:
Lead / Principal Cloud, AI & Security Architect at Freelancer / CC Conceptualise GmbH
Projects:
Project: RWE – Development of a company-wide Zero Trust cybersecurity architecture (CITADEL) Role: Senior Enterprise Cybersecurity Architect / Zero Trust Architect Company: RWE AG Description: Concept and implementation of the strategic CITADEL cybersecurity target architecture at RWE, based on the Zero Trust architecture principle and aligned with regulatory requirements such as NIS2, ISO 27001 and company-wide security governance policies. The goal was to build a measurable, auditable and scalable security architecture with a strong focus on Identity Governance, compliance transparency and operational manageability. Responsibilities & Achievements:
- Zero Trust architecture design: Developed a company-wide Zero Trust reference architecture (Identity, Device, Network, Application, Data) including trust zones, control points and enforcement mechanisms according to NIS2.
- Identity & Access Governance (IGA): Designed and introduced IGA governance structures including role models, recertification processes, segregation of duties (SoD) and lifecycle management for identities and access.
- Security governance & KPIs: Defined and implemented security KPIs and metrics to manage Zero Trust maturity, identity risks and compliance at the management level.
- Compliance & reporting: Built standardized compliance reports and dashboards to support internal audits, external assessments and regulatory evidence (e.g. NIS2).
- Architecture & stakeholder alignment: Worked closely with Enterprise Architecture, IT operations and business units to integrate the CITADEL architecture into existing IT and security landscapes.
- Strategic security consulting: Advised programs and projects on Zero Trust compliance, identity centricity and regulatory requirements in the energy and critical infrastructure (KRITIS) environment. Technologies & Methods: Zero Trust Architecture, NIS2, Identity Governance & Administration (IGA), IAM, RBAC, SoD, Entra ID, SailPoint, Zscaler, Terraform / IaC, Policy as Code, security KPIs, compliance reporting, NIST 2.0, ISO 27001, Enterprise Security Architecture, governance frameworks, risk & control management
Project: Scalable AI Workbench Platform on Microsoft Azure Role: Cloud Architect & Engineer Company: Siemens Energy Description: Design, development and operation of a secure, modular cloud infrastructure to support Data Science, Machine Learning and AI applications for various engineering teams at Siemens Energy. Responsibilities & Achievements:
- Cloud architecture: Designed and implemented an Infrastructure-as-Code solution (Terraform) for automated provisioning of Azure resources (Resource Groups, Storage Accounts, Cosmos DB, Application Insights, networking, PostgreSQL Flexible Server, Azure Container Apps, Azure Container Registry).
- Developer portal: Used Backstage with custom frontend and backend plugins (Node.js, TypeScript, React.js, PostgreSQL, Container Apps) to enable self-service and empower developers, data scientists and AI/ML engineers.
- Role-based access control: Implemented Azure RBAC to grant targeted access (e.g. Storage Blob Data Contributor, Reader) to engineering groups (e.g. AI Engineers) for relevant resources.
- Data platform engineering: Built and configured a multi-layered storage landscape (Raw, Curated, Vector data), including automated container creation and access control for advanced analytics and AI workloads.
- DevOps integration: Integrated with Azure DevOps for CI/CD pipelines to automate deployment, monitoring and compliance.
- Security & compliance: Implemented Private Endpoints, network policies and Managed Identities to ensure data protection and regulatory compliance.
- Collaboration: Worked closely with cross-functional teams to align the cloud infrastructure with business and technical requirements and drive digital transformation at Siemens Energy. Technologies: Azure, Terraform, Azure DevOps, Cosmos DB, Application Insights, Azure Storage, Private Endpoints, Azure Synapse, Azure Machine Learning, Azure Entra ID, RBAC, Backstage, Node.js, React.js, PostgreSQL, Python (automation), Git
Wisdom N.
Last position:
DevOps Engineer at Peer Network PSE UG
- Built full CI/CD pipelines using GitHub Actions, Docker Compose, PostgreSQL, PHPStan, Newman, Gitleaks, Trivy, SQL validation, and HTMLExtra reporting.
- Implemented automated SQL import in CI (docker-entrypoint-initdb.d) and custom Postman collection merging with Node.js for deterministic API testing.
- Created organization wide PR auto labeling workflow and a Developer Mapping System (GitHub, Developer, Discord) for targeted CI notifications.
- Developed full local DevOps environment (Dockerfile.local, Nginx and Supervisor) and a 400+ line Makefile supporting CI2, local CI replication, testing, monitoring, and pre-commit checks.
- Built strict SQL validation system enforcing safe migration rules and blocking unsafe PRs.
- Automated QA reporting: HTMLExtra, GitHub Pages deployment and auto pruning.
- Implemented production API monitoring (Bash, Python, cron and Telegram alerts).
- Built and deployed Mintbot automation (GraphQL queries, retries, logging, cron).
- Designed backend and database deployment automation (SQL diff detection, DB cloning, SSH ProxyJump deployment, rollback logic, Discord notifications).
- Created reusable workflow library (Discord messaging, artifact upload, Trivy, Gitleaks, branch sync, auto update PR, auto label).
- Designed internal DevOps Dashboard architecture for CI health, PR freshness, repo analytics.
- Built GHCR base image pipelines with FFmpeg, Rust, and PHP extensions for faster CI builds.
- Standardized .github/ documentation, naming conventions, workflow structures.
- Introduced Dependabot for the backend repository and built Cloudflare Worker for CVE alerts to Discord.
- Implemented GitHub Actions enforcement: required checks, blocked outdated PRs, protected branches, mandatory reviews.
Meisam G.
Last position:
Senior AI Engineer / Data Scientist at Geeks Ltd (WordUp)
Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.
- Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
- Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
- Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
- Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
- Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.
Daniel S.
Last position:
DevOps Engineer / Cloud Infrastructure Engineer at ComputerStack GmbH
- Provisioned a Kubernetes platform on Open Telekom Cloud CCE with comprehensive network isolation
- Built a VPC architecture with public, private, and data subnets
- Integrated managed services: RDS PostgreSQL, DCS Redis, DMS Apache Kafka
- Implemented monitoring with Cloud Eye and Log Tank Service
IMPACT: Cloud Infrastructure Engineer delivered a production-ready platform in 5 days with full network security isolation
Chitrung N.
Last position:
Staff Software Engineer - Infrastructure at Workpath
- Owning, designing, securing, maintaining reliability of the cloud based platform environments
- Increasing developer productivity and growing the infrastructure team horizontally and vertically to 5 engineers
- Realised infrastructure cost reduction of 50% by utilizing efficient spot instances
- Improved PE developer efficiency by 15% with survey led development process
Michael W.
Last position:
TUI AG / Robinson
- Development of an Internet Booking Engine IBE (Saber and Juniper) and other microservices
- Backend development with PHP and Symfony, endpoint and interface implementation
- Unit and integration testing
Mahdi C.
Last position:
Production Assistance at Brammiball's Donuts
- Support daily bakery operations by maintaining hygiene standards.
- Collaborate effectively within a team to ensure smooth production flow.
Discover over 15,000 top freelancers
Statistics of experts using Docker Compose
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)
Position duration
1.8 years (Germany: 5.3 years)
Positions per freelancer
11 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Education, Automotive
Certification focus areas
Information Technology, Legal, Project Management
Bachelor's degree or higher
80% (Germany: 85%)
Master's degree or higher
70% (Germany: 49%)
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 Berlin 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 Berlin 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 29 Oct 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%)
- Education (46%)
- Automotive (31%)
- Energy (31%)
- Healthcare (31%)
- Government and Administration (31%)
- Retail (31%)
- Construction (23%)
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 applications made of multiple Docker containers. Teams describe services, networks, volumes, environment variables and dependencies in a Compose YAML file, then manage the complete stack through a consistent command workflow. It is especially useful for local development, integration testing and smaller deployments.
Core project work
Compose specialists turn application architecture into reproducible environments that every team member can start and inspect. Typical deliverables include:
- Compose files for web, API, worker and database services
- Development environments with bind mounts, hot reloads and persistent volumes
- Service health checks, startup dependencies and configuration profiles
- Test stacks for automated integration and end-to-end checks
- Documentation for setup, troubleshooting and handover
Ecosystem and tooling
Docker Compose works alongside Dockerfiles, Docker Engine, container registries and common CI systems. Strong specialists understand image creation, layered builds, networking, secrets, volume behavior and resource limits. They may also connect Compose workflows with reverse proxies, databases, message brokers, observability tools and orchestration targets such as Kubernetes.
When companies need help
Freelance expertise is useful when a stack has grown beyond a single service or when local environments no longer match shared infrastructure. Common signals include:
- New services require manual setup or undocumented dependencies
- Developers lose time debugging environment differences
- Integration tests need isolated databases, queues or external services
- Compose configuration is duplicated across teams and branches
- A prototype needs a clear path toward controlled deployment
What strong professionals deliver
Quality work goes beyond making containers start. Experienced professionals separate configuration from images, use explicit service contracts, choose sensible health checks and keep data persistence deliberate. They explain trade-offs between one Compose project, multiple profiles and a broader orchestration approach, while making failures easy to diagnose.
Working with Berlin teams
Docker Compose projects often support product teams in software, media, commerce and industrial businesses. A Berlin-based specialist can work on-site when close collaboration helps, or remotely with clear documentation, shared repositories and scheduled reviews. Useful adjacent skills include Git, Linux, shell scripting, CI/CD, cloud services and application-level debugging.
Frequently asked questions
Quick answers to the questions that come up most around Docker Compose.
Docker Compose is used to define and run applications made up of several containers, such as an API, frontend, database and message broker. It gives teams a repeatable way to create networks, volumes, environment settings and service dependencies for development and testing.
Docker Compose is simpler and is commonly used for local development, testing and small controlled deployments. Kubernetes provides broader orchestration for distributed production systems, including scheduling, scaling and cluster management, so the right choice depends on operational complexity rather than container support alone.
A strong Docker Compose specialist usually understands Dockerfiles, Linux, Git, shell scripting and CI/CD pipelines. Knowledge of databases, networking, reverse proxies, cloud infrastructure and Kubernetes is useful when the Compose workflow connects to wider delivery or deployment processes.
A small stack may only need focused configuration and documentation work. Larger projects benefit from a Docker Compose professional who can review image design, networking, secrets, persistent data, health checks and the boundary between local development and production operations.
Docker Compose supports remote collaboration because the environment can be described in version-controlled files and started consistently across machines. Teams in Berlin should still agree on documentation, access to private images, environment variables, review routines and whether any workshops require on-site attendance.
Ask for examples of clear Compose files, reliable development environments and integration test setups. A capable Docker Compose specialist can explain service dependencies, volume behavior, network boundaries, configuration handling and how they would recover from common container or data failures.
Docker Compose can manage some production workloads, particularly when the environment is limited and operational requirements are straightforward. It is less suitable when a company needs complex scheduling, automatic scaling, multi-node resilience or advanced cluster policies, where an orchestrator may be more appropriate.
Freelancers should clarify the application architecture, required services, data persistence, registry access, deployment target and team workflow before changing a Docker Compose setup. They should also identify whether the task is environment standardization, testing, troubleshooting or preparation for a move to another orchestration system.
The average hourly rate of freelancers in Berlin, Germany who have used Docker Compose in their recent projects is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Docker Compose in their recent projects, 80% hold at least a Bachelor's degree and 70% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Docker Compose in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used Docker Compose in their recent projects are German (100%), English (100%), and French (23%).
The most common industries among freelancers in Berlin, Germany who have used Docker Compose in their recent projects are Information Technology (100%), Education (46%), and Automotive (31%).
The most common business areas among freelancers in Berlin, Germany who have used Docker Compose in their recent projects are Information Technology (100%), Product Development (92%), and Project Management (77%).
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.
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Philipp Thomaschewski
FRATCH CEO
