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Docker Compose Experts in Berlin

in minutes from over 15,000 CVs with the power of AI.

Hire experts who set up multi-container stacks, tune Compose files for local and shared environments, and keep Docker-based services easy to run in Berlin teams and remote workflows. Fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Berlin, who have recently used Docker Compose

Verified expert

Olaf Nouvortne

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Frontend Engineer

Berlin
Olaf Nouvortne

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
Verified expert

Christopher Mäuer

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Mobile & Full-Stack Engineer

Berlin
Christopher Mäuer

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
Verified expert

Mohamed Ghassen Brahim

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Founder & CEO

Berlin
Mohamed Ghassen Brahim

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
Verified expert

Meisam Ghafarlangroudi

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AI Product Engineering Lead | Hands-On Delivery, Clients & Platforms

Berlin
Meisam Ghafarlangroudi

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.
Verified expert

Wisdom Nwaiwu

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DevOps Engineer

Berlin
Wisdom Nwaiwu

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.
Verified expert

Daniel Schlieder

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DevOps Engineer / Cloud Infrastructure Engineer

Berlin
Daniel Schlieder

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

Verified expert

Chitrung Nguyen

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Staff Software Engineer - Infrastructure

Berlin
Chitrung Nguyen

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
Verified expert

Maurizio Fleischer

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Python Software Developer

Berlin
Maurizio Fleischer

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
Verified expert

Mahdi Cheraghali

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Production Assistance

Berlin
Mahdi Cheraghali

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.
Verified expert

Michael Wetzl

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Berlin
Michael Wetzl

Last position:

TUI AG / Robinson

  • Developed an Internet Booking Engine (IBE) (Saber and Juniper) and other microservices
  • Backend development with PHP and Symfony, endpoint and interface implementation
  • Unit and integration tests

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

2 years (Germany: 5.4 years)

Positions per freelancer

12

Top business areas

Information Technology, Product Development, Project Management

Top industries

Information Technology, Education, Automotive

Certification focus areas

Information Technology, Legal, Business Intelligence

Bachelor's degree or higher

75% (Germany: 85%)

Master's degree or higher

63% (Germany: 50%)

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 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€320 €320-​480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin using Docker Compose

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 720 €
Germany avg. 757 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 660 €
Germany median 760 €

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 it does

Docker Compose defines and runs multi-container setups with one file. It is used to start app services, databases, caches, queues, and local tooling together in a repeatable way. Teams use it for development, demos, test environments, and small production-style stacks.

Typical work

  • Write and maintain compose.yml files
  • Connect app, database, and worker services
  • Manage volumes, networks, and environment files
  • Add profiles for local, test, and staging setups
  • Debug startup order, ports, and container links

Ecosystem fit

Docker Compose sits close to Docker itself, so strong professionals know images, tags, build contexts, and the Docker CLI. They often work with .env files, health checks, bind mounts, and registry workflows. In Berlin, this matters for product teams that want clean local setups across mixed in-office and remote groups.

When to bring help

Companies usually bring in freelance experts when a stack is hard to start, a new service must fit an existing Compose setup, or local development has drifted from staging. They are also useful during migrations from docker-compose legacy files, CI cleanup, or when several teams share one environment contract.

What strong experts do

A good specialist keeps files simple, readable, and stable. They know when to split services, when to reuse common blocks, and when to avoid clever shortcuts that break on another machine. They also document how to run, reset, and troubleshoot the stack so other professionals can work without guesswork.

Deliverables

Strong Docker Compose work usually ends in a repo that others can run with confidence. Common deliverables include:

  • A clear Compose file set for app and support services
  • Setup notes for local onboarding and troubleshooting
  • CI-ready commands for test and integration runs
  • Clean handover for teams that maintain the stack in Berlin or remotely
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Frequently asked questions

Quick answers to the questions that come up most around Docker Compose.

Docker Compose is used to run several related containers as one stack, usually from a single Compose file. Companies rely on it for local development, integration testing, demos, and small service environments where the full app needs to start together. It is especially useful when the app depends on a database, cache, message broker, or worker process.

Docker Compose adds orchestration for multiple containers on top of Docker. Plain Docker is fine for one container or manual starts, but Compose is better when services need shared networks, volumes, and predictable startup. If a project has more than one moving part, Compose usually makes the setup easier to maintain.

A company should bring in a Docker Compose specialist when the stack is hard to reproduce, the files have grown messy, or local and test environments no longer match. That is common during onboarding improvements, service additions, or migration from older docker-compose setups. In Berlin teams, it also helps when mixed on-site and remote work needs one reliable setup.

A strong Docker Compose expert usually knows Docker images, container networking, volumes, environment variables, and basic shell tooling. Many also work with CI pipelines, Makefiles, and service health checks. For larger systems, experience with Kubernetes can help when Compose is used as a stepping stone or local mirror.

Docker Compose can run production-style stacks, but it is not always the best fit for complex scale or high-availability needs. It works well for smaller deployments, internal tools, and controlled environments where simplicity matters. For more demanding setups, teams often move the same services to Kubernetes or another orchestrator.

The right Docker Compose freelancer depends on the state of the stack, not just the file count. Simple onboarding fixes may need someone who can clean up service definitions and env files, while a tangled multi-service setup needs deeper knowledge of networks, mounts, and CI behavior. Good judgment matters more than flashy tooling.

Yes, Docker Compose is often a good fit for remote collaboration because it gives everyone the same start command and the same service layout. That reduces setup drift across laptops and offices. For Berlin-based teams, it also helps when some experts work on-site and others join from elsewhere in Germany or abroad.

Look for a Docker Compose expert who writes files that are easy to read, easy to start, and easy to change. Good signs are clean service boundaries, sensible defaults, clear environment handling, and notes that explain common failures. Ask how they handle volumes, health checks, and differences between local and CI runs.

The average hourly rate of freelancers in Berlin, Germany who have used Docker Compose in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used Docker Compose in their recent projects, 75% hold at least a Bachelor's degree and 63% 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 2 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 (27%).

The most common industries among freelancers in Berlin, Germany who have used Docker Compose in their recent projects are Information Technology (100%), Education (45%), and Automotive (36%).

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 (91%), and Project Management (82%).

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 Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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