Skip to main content
🇩🇪GDPR-compliant
Find experienced

Containerization Experts in Munich

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

Hire experts who package services with Docker and OCI images, set up Kubernetes-ready delivery, and harden runtime environments for clean releases. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Munich, who have recently used Containerization

Verified expert

Tamás Eppel

View profile

Senior Software Developer / Tech Lead

Munich
Tamás Eppel

Last position:

Senior Software Developer / Tech Lead at NDA (defense / OSINT)

  • Designing the audit logging framework
  • Implementing APIs for developers to integrate in their codebase
  • Implementing ingestion pipeline, database query layer and UI for browsing the audit events
  • Improving stability and reliability of the backend system
Verified expert

Tezcan Dilshener

View profile

Solution Architect / Project Manager

München
Tezcan Dilshener

Last position:

Solution Architect / Project Manager at German Football Association

  • Overall responsibility for the project lifecycle from scope definition to completion
  • Close collaboration with platform teams, IT leaders, and external service providers
  • Application of SAFe principles and structured sprint work
  • Creation of a migration roadmap with clear milestones
  • Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
  • Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
  • Regular status reports and running knowledge transfer sessions
Verified expert

Thomas Hoefkens

View profile

Senior MLOps, DevOps Engineer

Munich
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).
Verified expert

Serge Kalinin

View profile

MLOps (machine learning operations)

Munich
Serge Kalinin

Last position:

MLOps (machine learning operations) at REWE Digital GmbH

  • It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
  • GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
  • Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
  • CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Verified expert

Vitaliy Ryumshyn

View profile

DevOps GitOps (temp)

Puchheim
Vitaliy Ryumshyn

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.
Verified expert

Siegfried-Thor Bolz

View profile

AI Solutions Architect & Developer

Grasbrunn
Siegfried-Thor Bolz

Last position:

AI Solutions Architect & Developer at E-Commerce

  • Integrated LangChain middleware between AEM and SAP PIM system
  • Developed a FastAPI interface for system communication
  • Implemented vector embeddings for semantic product search
  • Evaluated LLM models (Vertex AI/Gemini, LM Studio, Hugging Face, OpenAI) for product analysis
  • Developed an AEM component to display product recommendations and integrated the recommendation API into the AEM authoring process
  • Designed and implemented Pinecone vector database for product embeddings
  • Optimized response times and caching strategies
  • Evaluated Vertex AI Studio for LLM testing and prompt workflows
  • Implemented secure API routing and access control for AI components via FastAPI and gateway validation
Verified expert

Celso Kurrle

View profile

SAP Commerce Cloud FullStack Developer

Ottobrunn
Celso Kurrle

Last position:

SAP Commerce Cloud FullStack Developer at Spar

  • Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
  • Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
  • Integration of Microsoft Azure Event Grid with SAP Hybris
  • Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
  • Support and customization of a Spartacus shop
  • Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
Verified expert

Alois Flammensböck

View profile

Software Architect / Backend Developer

München
Alois Flammensböck

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.
Verified expert

György Kelemen

View profile

Senior Software Developer, Delivery Unit Software Design & Development

München
György Kelemen

Last position:

Senior Fullstack Developer at Rockstardevelopers GmbH

  • Development of a test system
  • Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
  • Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
  • Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
  • Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
Verified expert

Harald Plattner

View profile

Quality Manager

Schäftlarn
Harald Plattner

Last position:

Quality Manager at Bundesdruckerei

  • Consultant (program management, project teams, architecture, interface management)
  • Project support (processes, deliverables, risk management, release management)
  • Auditor (internal and external audits, recommendations, reviewing deliverables)
  • Designer (training on BDR quality standards, optimization of interfaces and processes)
Verified expert

Nurbüke Teker

View profile

Software Engineer

Munich
Nurbüke Teker

Last position:

Working Student – Software Engineer at Rohde & Schwarz

  • Developing software tools within the EICACS program (LDACS project) supporting secure avionics communication.
  • Built Python-based automation and monitoring services to validate AI components under Trustable AI guidelines.
  • Designed CI/CD and test pipelines improving reproducibility and reliability across teams.
Verified expert

Piotr Kuczyński

View profile

Senior Software Engineer

Munich
Piotr Kuczyński

Last position:

Senior Software Engineer at On

  • Built middleware service integrating EDI providers and marketplace partners with Microsoft Dynamics 365 to receive sales orders and communicate shipments, invoices, inventory, and price catalogues
  • Utilized a mixture of REST APIs and event-driven data processing pipelines
Verified expert

Ales Loncar

View profile

Senior DevOps Consultant (Freelance)

Munich
Ales Loncar

Last position:

Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)

  • Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
  • Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
  • Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
  • Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
  • Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
  • Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
  • Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
  • Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
  • Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
  • Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Verified expert

Alexandru Gunescu

View profile

Head of Cloud Infrastructure

Munich
Alexandru Gunescu

Last position:

Head of Cloud Infrastructure at BP

  • Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
  • Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
  • Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
  • Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
  • Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
  • Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
  • Supported development and maintenance of IT strategy aligned with business requirements
  • Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
  • Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
  • Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
  • Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
  • Developed a two-year infrastructure technology roadmap yielding 25% cost savings
  • Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics

Discover over 15,000 top freelancers

Statistics of experts using Containerization

Aggregated from the professional profiles of matched freelancers.

Experience

19 years (Germany: 16 years)

Position duration

1.7 years (Germany: 1.8 years)

Positions per freelancer

12 (Germany: 11)

Top business areas

Information Technology, Product Development, Project Management

Top industries

Information Technology, Manufacturing, Automotive

Certification focus areas

Information Technology, Product Development, Operations

Bachelor's degree or higher

96% (Germany: 92%)

Master's degree or higher

70% (Germany: 54%)

Doctorate

22% (Germany: 11%)

Certifications per freelancer

2

Most common languages

German, English, Spanish

Speak two or more languages

100% (Germany: 97%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 3 6 9 12
<€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 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 Containerization

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

800
600
400
200
Rate comparison chart
Daily rate avg. 756 €
Germany avg. 741 €

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 720 €
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 is

Containerization packages an application, its runtime, and its dependencies into an isolated unit that runs the same way across local laptops, test systems, and production. It is used for web services, APIs, batch jobs, and worker processes that need predictable delivery and clean rollback paths.

Core tools

Container work usually centers on Docker, OCI images, and orchestration layers such as Kubernetes. Strong specialists also understand registries, Compose, Helm, and the build chain around image creation, scanning, and release automation.

Typical work

  • Write and review Dockerfiles
  • Reduce image size and startup time
  • Set up local and CI test environments
  • Prepare services for Kubernetes or OpenShift
  • Fix networking, volume, and permission issues

When companies hire

Teams bring in freelance experts when builds are unstable, deployments differ between environments, or a platform move is blocked by legacy packaging. In Munich, this often comes up in software product teams, industry platforms, and internal systems that need tighter release control and easier scaling.

What good experts do

A strong specialist knows how to separate app code from infrastructure concerns. They define clear image layers, use secure base images, manage secrets correctly, and make sure containers are observable, reproducible, and easy to operate.

Engagement fit

Containerization work can be done fully remote when the setup is documented and access is ready. On-site collaboration in Munich helps when teams need help with platform standards, migration planning, or handover to operations. The best results come from experts who can work across development, delivery, and runtime support.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

Frequently asked questions

Quick answers to the questions that come up most around Containerization.

Containerization packages software so it runs the same way across laptops, test systems, and production. It reduces environment drift and makes releases easier to repeat, test, and roll back. For companies, that usually means fewer deployment surprises and a cleaner path to scaling.

Containerization is the approach; Docker is the most common tool people use to work with it. In practice, many teams speak about Docker when they mean containers in general, but the underlying ideas also apply to OCI images and other runtimes. A good freelancer should be comfortable with both the concept and the tooling.

Containerization often leads into Kubernetes when a team needs scheduling, service discovery, rolling updates, or multi-service operation. Not every container project needs orchestration, though. A strong specialist will tell you when simple Docker-based delivery is enough and when Kubernetes adds real value.

A strong Containerization specialist should understand Linux basics, networking, storage, build pipelines, and security hygiene. They should also be able to read logs, tune resource use, and work with registries and image scanning. If the project uses GitLab CI, GitHub Actions, Jenkins, or Helm, that matters too.

Containerization work is easier when you can share current build files, deployment flow, runtime assumptions, and the main pain points. A freelancer can help define the scope if the project is still fuzzy, but they need access to the codebase and the target environment. Clear goals make the first days much more productive.

Yes. Containerization tasks are often remote-friendly because most work happens in code, build files, and cloud or cluster settings. For Munich-based teams, on-site sessions are mainly useful for workshops, platform alignment, or migration planning with nearby stakeholders.

Look for small, readable Dockerfiles, minimal base images, sensible secrets handling, and clear separation between build and runtime steps. Containerization quality also shows up in fast builds, predictable startup behavior, and easy troubleshooting. If the expert can explain trade-offs clearly, that is a good sign.

Containerization is worth improving when deployments vary by environment, images are too large, or releases fail because of missing dependencies. It also helps when teams need safer rollouts, simpler local setup, or a cleaner migration to cloud platforms. The right expert can turn those pain points into a repeatable delivery flow.

The average hourly rate of freelancers in Munich, Germany who have used Containerization in their recent projects is 95 €, which corresponds to a daily rate of about 756 € based on an 8-hour working day.

Of the freelancers in Munich, Germany who have used Containerization in their recent projects, 96% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 22% hold a doctorate.

On average, freelancers in Munich, Germany who have used Containerization in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.7 years.

The most common languages among freelancers in Munich, Germany who have used Containerization in their recent projects are German (100%), English (100%), and Spanish (21%).

The most common industries among freelancers in Munich, Germany who have used Containerization in their recent projects are Information Technology (100%), Manufacturing (57%), and Automotive (54%).

The most common business areas among freelancers in Munich, Germany who have used Containerization in their recent projects are Information Technology (100%), Product Development (93%), and Project Management (50%).

Main locations of FRATCH Experts, who have recently used Containerization

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

Request a free demo

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH