Cloud Computing Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Cloud Computing
Mohamad Dib-Skhni
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).
Harald Laschitz
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
Axel Kraus
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
Christian Schulz
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 Di Cugno
Last position:
Lecturer of Telematics Engineering at Polytechnic of Bari
Arnab Chatterjee
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
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
Marco Bloch
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
Christian Musewald
Last position:
Independent Management Consultant at CuriousMinds Unternehmensberatung
- Strategy consulting, technical consulting, interim management and training
- Management consulting and development of application solutions through interdisciplinary approaches
- Staff and team development as well as innovation and communication management
Stephan Krausenegger
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 Lipfert
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 Odenthal
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 Anton
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 Huianu
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 Mazurek
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: 20 years)
Position duration
2.9 years (Germany: 2.3 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%
Master's degree or higher
63% (Germany: 64%)
Doctorate
19% (Germany: 20%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Cloud basics
Cloud computing is the delivery of compute, storage, databases and apps over remote infrastructure instead of local servers. It is used for new products, internal tools, analytics, backup and disaster recovery. Strong specialists choose the right service model and keep systems easy to run.
Common stacks
Typical work spans AWS, Microsoft Azure, Google Cloud Platform and private cloud setups. Experts often combine cloud services with Docker, Kubernetes, Terraform and CI/CD pipelines.
- Infrastructure design
- Migration planning
- Security and access control
- Monitoring and cost governance
- Platform automation
Where it fits
Companies bring in cloud expertise for migrations, landing zones, application modernisation and new platform builds. It also matters when systems need higher availability, stronger backup plans or better scaling for changing demand. In Munich, this often supports teams working with industry software, mobility, media and B2B services.
What good experts do
A strong specialist understands architecture, networking, identity, storage, observability and deployment workflows. They can explain trade-offs between public cloud, private cloud and hybrid cloud in plain words. They also document decisions so internal teams can keep operating the setup after handover.
Signals you need help
- Servers are hard to scale or patch
- Releases are slow or manual
- Costs are unclear
- Security roles are messy
- Recovery plans are weak
These are common signs that outside cloud expertise will help. Freelance professionals can step in for assessments, migrations or stabilisation work without changing your full team structure.
Delivery in practice
Cloud projects usually need clear scope, access to current diagrams and a view of application dependencies. Remote work fits most tasks well, while on-site time in Munich can help with workshops, stakeholder alignment and sensitive transitions. Good specialists keep the focus on reliability, security and simple operations.
Frequently asked questions
Curious about Cloud Computing? Here are the answers that come up again and again.
Cloud computing is used to run applications, store data, host APIs, back up systems and support analytics without owning the full hardware stack. Teams also use it for burst capacity, disaster recovery and faster delivery of new services. In practice, that usually means public cloud, private cloud or a hybrid mix.
Cloud computing gives teams more flexibility and faster provisioning than traditional on-premises setups. On-premises can still make sense for strict control, legacy systems or specific network constraints. A good specialist helps decide which parts belong in the cloud and which should stay local.
A strong Cloud computing specialist usually knows AWS, Microsoft Azure and Google Cloud Platform, plus the core services around identity, networking, storage and monitoring. Many projects also need Terraform, Kubernetes and CI/CD tooling. The exact mix depends on whether you are migrating, modernising or building from scratch.
Companies bring in cloud computing expertise when migrations stall, costs rise, releases slow down or security needs tighter control. It is also common before a platform launch or after incidents that show weak recovery planning. Freelancers are useful when you need focused help for a defined phase or problem.
A Cloud Computing project does not always need a large team, but it does need someone who has solved similar problems before. Simple support tasks may need only targeted platform knowledge, while migrations and hybrid designs need broader architecture and operations experience. The right scope matters more than a title.
Yes. Cloud computing work is often remote because most tasks happen in consoles, code, diagrams and change plans. On-site time in Munich can still help during workshops, access reviews and handover sessions, especially when several internal teams need to align.
Look for clear decisions, secure defaults and practical documentation from the Cloud Computing specialist. Good work shows up in stable deployments, sensible access control, readable automation and a plan for monitoring and recovery. Ask how they handled migration risk, rollback and cost control on earlier projects.
No. Cloud computing is the broader approach, while AWS, Microsoft Azure and Google Cloud Platform are major platforms that deliver it. A specialist should understand the service model first and then choose the right vendor for your workload, compliance needs and operating style.
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 877 € 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
