Cloud Computing Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Cloud Computing
Christian M.
Last position:
Self-employed business consultant at CuriousMinds Unternehmensberatung
- Strategic consulting, technical consulting, interim management, and training
- Management consulting and development of application solutions through interdisciplinary solution approaches
- Employee and team development as well as innovation and communication management
Mohamad D.
Last position:
Project Engineer at BMW Group AG
- Designed and implemented Azure Kubernetes Clusters, and managed DNS and Firewall solutions, enhancing network security and reliability.
- Led projects using Agile Scrum methodologies to streamline development cycles and improve project efficiency.
- Fostered and maintained relationships with suppliers to ensure timely project deliverables and resource availability.
- Managed continuous integration and delivery (CI/CD) pipelines using Jenkins, Sonar, GitHub, Bitbucket, and Terraform within the BMW Azure Cloud environment.
- Utilized Fortify SSC and Contrast AST for robust application security testing.
- Directed DevOps engineering initiatives on the SAP Business Technology Platform (BTP), focusing on streamlining development and deployment processes.
- Service Now governance, risk und compliance (GRC&IRM).
Axel K.
Last position:
Data Engineer & Business Analyst at Metafinanz
- Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
- Migration data jobs parametrisation for dynamic runs
- Optimisation and cutting-back
- Regression tests
- Knowledge transfer and documentation
Piotr K.
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
Harald L.
Last position:
Project Management at Loocid LLC
- Conducted a comprehensive due diligence review for a potential acquisition of a Swiss manufacturing company as part of a pre-merger analysis
- Assessed production capacities and technical infrastructure
- Evaluated integration possibilities into existing business processes
- Performed risk assessment and developed recommendations for action
- Documented the findings and presented them to management
Christian S.
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Francesco D.
Last position:
Lecturer of Telematics Engineering at Polytechnic of Bari
Arnab C.
Last position:
Consulting Partner at RibbitNova/RibbitPay
- As part of the leadership team of the crypto startup Ribbit, I am responsible for fundraising, business development, and supporting product development for Ribbit Pay
- Ribbit is developing one of the first automated, programmable, and privacy-preserving networks for recurring payments in Web3.0
Marco B.
Last position:
Business Analyst | IT Project Manager at Mercedes-Benz Group AG
- Coordination of implementing IT projects, subprojects, and enhancements within DevOps
- Management of IT service providers and responsibility for the quality of IT systems while meeting strategic guidelines
- Assisting in the creation of security-relevant IT documents, including security profiles, Data@Cloud, SCA, and penetration tests
- Full project management responsibility: monitoring and ensuring adherence to resources (scope, schedule, cost, and quality)
- Defining requirement profiles for external service providers and reviewing and evaluating proposals
- Supporting the setup and management of Windows and Linux servers in collaboration with Infosys, including configuring and enabling network ports
Stephan K.
Last position:
Migration Coordination at ITZBund
- Analysis and assessment of government business processes with regard to migration capability
- Definition and preparation of the technical framework conditions in the new master data center
- Development and optimization of migration procedures and processes
- Transformation of existing solutions to new technical standards (technology refresh)
- Coordination of architecture and technical cross-cutting topics
Frederik L.
Last position:
Founder at Tech Lunch Club
- Founded and organized a curated networking event connecting startup founders, executives, and tech leaders over lunch.
- Facilitated discussions on emerging technologies, AI, and business innovation, fostering collaboration between the startup and corporate worlds.
- Built a thriving industry community, creating meaningful business opportunities.
Michael O.
Last position:
Co-Founder & Managing Director at querifai GmbH
- Establishing platform querifai.ai to help non-programmers to easily test and compare third party AI services
- Building custom AI-based workflows for clients on querifai
- Conducting projects at the intersection of management consulting and data science
Reinhard A.
Last position:
Consultant at Danish software company
- Conducted DACH market research and initiated contacts with MSPs and potential partners
- Focus on password security and identity management
- Supported a Danish software company with up to $6M revenue and 10 employees
Marius H.
Last position:
Senior Project Manager / SAFe Solution & Release Train Engineer (Lead Scrum Master) at Telefonica O2
- Led the largest agile project at Telefonica O2 (€21+ million, 11 Scrum & system teams in Germany and India, 80+ developers, 3 vendors) using SAFe, Scrum and Kanban. A showcase project at Telefonica for agile scaling.
- Scaled agile processes to a large project using SAFe.
- Delivered the project at half the cost and time compared to similar projects.
- Test management / coordination of system testing.
- Coached teams (SAFe & Scrum).
- Rollout planning/management.
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))
Discover over 15,000 top freelancers
Statistics of experts using Cloud Computing
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 19 years)
Position duration
2.9 years (Germany: 2.2 years)
Positions per freelancer
13 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
94% (Germany: 93%)
Master's degree or higher
63% (Germany: 67%)
Doctorate
19% (Germany: 20%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, Spanish
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 Cloud Computing
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.
Cloud Computing 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 (94%)
- Banking and Finance (76%)
- Professional Services (71%)
- Automotive (53%)
- Media and Entertainment (47%)
- Education (41%)
- Energy (41%)
- Manufacturing (41%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What cloud computing covers
Cloud Computing provides on-demand access to computing power, storage, databases, networking and managed software through remote infrastructure. Companies use it to run web applications, data platforms, internal systems, digital products and machine learning workloads without owning every underlying server.
Services and models
Cloud environments combine infrastructure, platforms and software delivered as services. Specialists choose between public, private and hybrid models, then define how workloads, data and access are distributed.
- Infrastructure as a Service for flexible compute, networks and storage
- Platform as a Service for application delivery and managed runtimes
- Software as a Service for ready-to-use business capabilities
- Serverless services for event-driven workloads
Ecosystem and tooling
Strong cloud work connects architecture with practical operations. Common ecosystems include AWS, Microsoft Azure and Google Cloud, supported by Kubernetes, Docker, Terraform, Ansible and CI/CD tooling. Professionals also work with identity services, observability, secrets management, databases and message queues.
Where companies use it
Cloud systems support many workloads, from customer-facing products to analytics and enterprise integration. In Munich, companies across manufacturing, mobility, finance, media and software may need cloud expertise when systems must connect securely across teams, sites and regions.
- Migrate applications and databases from local infrastructure
- Build scalable APIs, web platforms and event-driven services
- Create data lakes, analytics pipelines and machine learning environments
- Connect cloud services with enterprise networks and applications
When freelance expertise helps
Companies often bring in a specialist for a migration, cloud adoption plan, platform redesign or temporary delivery gap. External expertise is useful when the team must reduce operational risk, establish reliable deployment processes or prepare a legacy system for changing demand. Clear documentation and knowledge transfer should be part of the deliverable.
- A cloud roadmap is missing or difficult choices remain unresolved
- Infrastructure is managed manually and releases are slow
- Costs, access controls, resilience or monitoring need review
- A new platform must be delivered without expanding the permanent team
What distinguishes strong professionals
The best professionals connect technical decisions to business constraints. They can explain trade-offs between managed services and self-hosted components, design for recovery, protect identities and data, and make infrastructure reproducible. Look for hands-on evidence with the relevant cloud provider, automation stack and workload type, plus a practical approach to security, documentation and collaboration. For Munich-based teams, agree early on remote work, on-site sessions and the working language.
Frequently asked questions
Curious about Cloud Computing? Here are the answers that come up again and again.
Cloud Computing is used to host applications, store data, run databases, process large workloads and provide managed services over a network. It supports customer portals, enterprise systems, analytics platforms, backup environments and machine learning workloads.
Cloud Computing offers remotely managed resources that can be provisioned and changed more flexibly than traditional on-premises infrastructure. On-premises systems may provide tighter physical control, while cloud environments often reduce hardware management and provide broader managed services. The right choice depends on security, latency, governance, workload design and operating capability.
Cloud Computing work commonly involves AWS, Microsoft Azure or Google Cloud, along with Kubernetes, Docker, Terraform and CI/CD systems. Useful adjacent skills include networking, Linux, identity and access management, databases, observability, security and application architecture.
Cloud Computing experience should match the project’s risk and complexity rather than a fixed time period. A straightforward workload may need focused expertise in one provider, while a migration or regulated enterprise platform calls for a professional who has handled architecture, security, resilience, automation and stakeholder coordination.
Cloud Computing projects are often suitable for remote collaboration because environments, documentation and delivery tools are online. Munich-based companies should still agree on access controls, meeting routines, occasional on-site workshops and whether German, English or both are needed for communication.
Cloud Computing migration work should produce more than a moved workload. Expected deliverables may include an assessment, target architecture, migration plan, infrastructure code, security configuration, monitoring, rollback procedures, testing evidence and documentation for the internal team.
Cloud Computing quality is visible in clear design decisions, reproducible infrastructure and tested operational procedures. Ask how the professional handles failure recovery, permissions, secrets, monitoring, data protection and cost controls, then review relevant work examples and the quality of their explanations.
Cloud Computing work starts best with a clear view of business goals, existing systems, data flows, security requirements and operational ownership. The professional also needs suitable access, decision-making contacts, deployment constraints and agreement on what success and knowledge transfer will look like.
The average hourly rate of freelancers in Munich, Germany who have used Cloud Computing in their recent projects is 110 €, which corresponds to a daily rate of about 878 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Cloud Computing in their recent projects, 94% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 19% hold a doctorate.
On average, freelancers in Munich, Germany who have used Cloud Computing in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Munich, Germany who have used Cloud Computing in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Munich, Germany who have used Cloud Computing in their recent projects are Information Technology (94%), Banking and Finance (76%), and Professional Services (71%).
The most common business areas among freelancers in Munich, Germany who have used Cloud Computing in their recent projects are Information Technology (100%), Product Development (76%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used Cloud Computing
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 
Berlin 
Hamburg 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
