Cloud Computing Experts
to scale secure systems with vetted, available freelancers matched by AIHire experts who design cloud architectures, automate infrastructure with Terraform and Kubernetes, and modernize workloads across AWS, Microsoft Azure, and Google Cloud. FRATCH matches you quickly with precise, vetted freelancers who are available for your project.
Meet FRATCH Experts who have recently used Cloud Computing
Paul K.
Last position:
Program Manager – Multi-Project Operational Stabilization (Operational Excellence) at ITDZ - IT Service Center Berlin
- Overall leadership of several strategic operations projects focusing on Workplace Services, SLA Framework, access management, certificate management, e-learning, backup & recovery, test management, and capacity management, as well as the introduction of system monitoring and feasibility studies for 24x7 operations, in some cases including implementation in ServiceNow
- Creation of various ServiceNow operating concepts covering training, access rights, and emergency management as part of a new cloud hosting initiative for the ServiceNow platform
- Executive board reports and leadership of steering committees as part of company-wide strategic objectives, as well as the establishment of new balanced scorecards for measuring KPIs related to optimization-driven project results
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Markus B.
Last position:
Consultant, Technical Project Manager at Lanxess
- Project: ESU Windows and SQL Server Consolidation / Configuration Management in ServiceNow
- Prepared an as-is analysis of all servers worldwide
- Prepared an as-is analysis of all SQL servers worldwide
- Conducted requirements analyses for SQL and server migrations
- Coordinated requirements with partners for migrations to Hyper-V (on-premises) or Azure Cloud
- Facilitated regular status meetings (Jour Fixe)
- Developed roadmaps and solution models for server migrations
- Set up test scenarios
- Facilitated workshops for the rollout of a global admin team
- Designed data models (CMDB) in ServiceNow
- Led workshops for the CMDB data model
- Developed solution models for the CMDB
- Created end-to-end configuration documentation and work instructions for the CMDB
- Prepared reports for license management
- Defined KPIs for data quality in ServiceNow
- Created a service catalog
- Facilitated workshops to define service requests
- Acted as interface between requirements analysis and the ServiceNow development team
- Systems used: Windows 7, Windows 10, Microsoft Office 365/2010, Windows Server 20xx, SQL Server 20xx, SharePoint, Azure Cloud, Hyper-V, ServiceNow, various tools
Peter S.
Last position:
Senior ML Engineer & AI Researcher at Anonymous Client
Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing
- Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
- Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
- Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.
Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Huy N.
Last position:
Modern Workplace & Dynamics 365 Consultant at Thinformatics
- Administration and further development of the M365 environment, including Teams, Exchange Online, Intune, and SharePoint Online
- Development of dashboards for performance monitoring with Microsoft Power BI
- Implementation of user requirements and processes with low-code/no-code technologies (Power Apps, Power Automate)
- Use of Jira and Azure DevOps to plan and implement user stories in an agile project context
- Participation in daily stand-ups, sprint planning, sprint reviews, and retrospectives as the technical point of contact
- Planning and implementation of security policies using Azure Conditional Access and multi-factor authentication
- Configuration and deployment of clients and applications via MECM (SCCM) and Baramundi
Yannide D.
Last position:
Development Engineer Test Automation at Vorwerk Elektrowerke GmbH & Co. KG
- Project: Thermomix Online Mock
- Manual execution of functional tests
- Implementation of automated end-to-end tests
- Execution of regression tests and analysis of results
- Further development of the QA website server using Express.js, Handlebars and Node.js
- Further development of the test environment
- Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir
Hervé T.
Last position:
Senior Data Engineer at Schweizerische Post AG
Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python
- Supported customers in implementing an architecture design for extracting and preparing data
- Planned the design and implementation of the BI and DWH platform
- Ensured the scalability and performance of the data platform
Benjamin M.
Last position:
Founder, system architect, and main developer at Institute for Artificial Study (IAS)
- Expert-supervised AI systems for scientific reasoning, model evaluation, and research workflows.
- Built the IAS Problem Solver, an orchestrated system for difficult mathematical reasoning; it achieved 84% in one submitted answer set on the Leipzig mathematics benchmark.
- Built a resumable state-machine pipeline for research-grade mathematics benchmark generation: source selection, LLM-agent-based phenomenon discovery, task synthesis, gold-answer and certificate generation and validation, probing, repair, human feedback, and quality gates, targeting tasks that are difficult, natural, verifiable, and cost-effective.
- Current work extends this into budget-aware AI research workflows for real scientific problems with expert review.
Tech stack: Python, OpenAI/OpenRouter-compatible APIs, embeddings, RAG, SQLite.
Thomas Ü.
Last position:
Head of Engineering - Midnight at IOG / Midnight
IOG (IOHK), is one of the world's pre-eminent blockchain infrastructure research and engineering companies.
- Converted a lingering R&D project into a cohesive, production-ready testnet; built and scaled the 35-member engineering team (Core, QA, SRE) to achieve this goal.
- Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
- Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
- Delivered projects in a fast-paced startup environment through effective project management and resource allocation.
Hakan A.
Last position:
Senior Software Engineer — AI Evaluation & Benchmarks at Diversido
- Provided technical leadership for a 4-engineer team delivering 3 major client platforms in 12 months with microservices architecture and scalability solutions — 100% of scoped majors shipped ahead of schedule vs. planned milestones (baseline: prior releases often slipped 1–2 sprints).
- Ran AI model evaluation and model outputs evaluation on LLM/AI vendor APIs: safety, completeness, instruction adherence, and groundedness review before go-live; cut escaped bad outputs in AI-integrated release checklists from recurring UAT findings to near-zero on final promote.
- Drove API development and performance optimization for payment, exchange, and AI services; fail-closed error handling and payload validation reduced integration rework cycles by ~35% vs. the first AI integration pass.
- Applied software testing, testing frameworks, code quality assurance, and code refactoring with continuous integration gates; first-pass PR acceptance improved across the team and production hotfixes on AI adapters dropped noticeably after review standards landed.
- Owned DevOps practices: Docker, GitHub Actions, Jenkins-compatible pipelines, and version control workflows — cut deployment time ~50% vs. pre-automation baseline and stabilized releases across 3 client environments.
- Implemented verifier/oracle-style pass-fail checks in container sandboxes (Harbor/Terminal-Bench aligned); wrote technical documentation so failures cleared in one review cycle.
- Led cross-functional collaboration with product and client stakeholders; translated AI evaluation scores and risk findings into plain-language briefs for non-technical partners, unblocking go/no-go decisions without extra engineering meetings.
- Used agile methodologies for sprint planning and backlog ownership; mentored engineers so mid-level contributors owned AI adapter modules independently by mid-engagement.
Jin-Ho Y.
Last position:
Server Migration Consultant at Unknown Client
- Linux server migrations: Planning and implementation of the migration with SLES Linux Deployment of VMs in VMware 8.0
- Guiding colleagues in configuring Linux VMs in vSphere Auto Deploy
- Application operations: Ensuring the smooth operation of applications on the migrated servers
- Operations manuals: Revising existing operations manuals, adding to them and creating new ones when required
- Reviewing service offerings: Adjusting and optimizing the service offering of external service providers
- Logistics SW, RedHat Linux, Ansible, Confluence / Jira
Oliver K.
Last position:
Founder & AI Automation Architect at Zerobits
Zerobits is my vehicle for AI-powered automation and custom software development with a clear principle: AI solutions that reach production, not pilot stage. I design and build the systems myself - from first concept and architecture through implementation to deployment and operations.
My focus is on replacing repetitive, manual work with reliable automation and connecting disconnected tools and data sources into one dependable overall system.
Selected work:
- Design and implementation of LLM-based agent systems and RAG pipelines (Anthropic Claude, Mistral, MongoDB Atlas Vector Search + RAG)
- Workflow orchestration for long-running, fault-tolerant business processes using Temporal (temporal.io): saga patterns, event-driven architecture, retry and compensation logic, connecting third-party APIs and internal services into automated end-to-end processes
- Full stack product development: SaaS architecture on Kubernetes, TypeScript/React/NestJS, admin tooling with refine.dev and MUI
- AI-assisted development workflow as standard practice to deliver production software at a fraction of traditional timelines
- Full stack product development: multi-tenant SaaS architecture running on Kubernetes, backend with NestJS/Node.js and Python, frontend with TypeScript, React and Next.js, admin tooling with refine.dev and MUI, CI/CD with GitHub Actions
One of these projects is a product I own and operate - free of any NDA restrictions. I'm happy to demonstrate it end to end.
Pierre G.
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third-level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
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
Stephan S.
Last position:
Head of Digital Transformation EMEA at Rhenus Air & Ocean Management GmbH
Responsible for driving digital transformation and aligning country organizations with the Rhenus platform model
Initiated the digital transformation roadmap for five countries, ensuring alignment with global group strategy
Built and led a high-performing digital transformation consulting team, expanding delivery capacity from one to three value streams and thereby fast tracking the roadmap from 3 to 2 years
Acted as strategic advocate for 5 country organizations, ensuring group-wide cross-functional alignment
Redefined business analysis into an agile approach, reducing time-to-value for platform harmonization by 50%
Discover over 15,000 top freelancers
Statistics of experts using Cloud Computing
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93%
Master's degree or higher
67%
Doctorate
20%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
99%
Based on our profile pool as of 23 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 23 Oct 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 (90%)
- Banking and Finance (46%)
- Professional Services (39%)
- Automotive (38%)
- Education (37%)
- Manufacturing (36%)
- Healthcare (35%)
- Government and Administration (29%)
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 services through remote infrastructure. Companies use it to run applications without owning every physical server. The model includes infrastructure as a service, platform services, software services, and serverless computing.
Systems It Builds
Cloud environments support customer-facing web applications, data platforms, mobile backends, internal tools, and global software services. They also host backup systems, disaster recovery environments, analytics workloads, and machine learning pipelines. Capacity can be adjusted as demand changes.
Major Cloud Ecosystems
The main ecosystems are Amazon Web Services, Microsoft Azure, and Google Cloud. Strong specialists also work with Linux, containers, Kubernetes, Docker, Terraform, Ansible, GitHub Actions, and cloud-native observability tools. Their work often connects public cloud services with private infrastructure or existing data centers.
- Design accounts, networks, identity models, and landing zones
- Automate infrastructure and deployment workflows
- Configure monitoring, logging, backups, and resilience
When Companies Need Specialists
Companies bring in freelance cloud professionals during migrations, platform launches, architecture changes, and reliability work. External expertise is useful when an internal team needs focused capacity or an independent review. It can also help control complex environments before cloud usage becomes difficult to govern.
- Move applications from on-premises systems to managed services
- Break monoliths into containers or event-driven components
- Improve security, recovery, performance, and cloud cost control
Skills Behind Reliable Delivery
A capable professional combines architecture with practical operations. They understand networking, identity and access management, encryption, secrets, infrastructure as code, CI/CD, containers, and observability. They document decisions, define ownership, and test recovery instead of treating deployment as the final deliverable.
What Strong Experts Deliver
Strong Cloud Computing experts connect technical choices to business requirements. They make trade-offs clear between managed services, portability, control, and operational effort. Their deliverables may include a target architecture, migration plan, Terraform modules, deployment pipelines, runbooks, security controls, and measurable acceptance criteria.
Frequently asked questions
Key details about Cloud Computing, drawn from the questions we get asked most.
Cloud Computing is used to run applications, store data, process events, host databases, and provide scalable infrastructure over a network. It also supports backups, analytics, machine learning, disaster recovery, and global software delivery.
Cloud Computing reduces the need to purchase and maintain all physical infrastructure directly. On-premises environments can offer tighter hardware control or meet specific operational constraints, while cloud services provide flexible capacity and access to managed capabilities.
A strong Cloud Computing specialist usually understands networking, Linux, identity and access management, security, containers, Kubernetes, Terraform, CI/CD, and observability. Experience with databases and application architecture is also valuable when the work includes migration or platform design.
The right Cloud Computing experience depends on the scope, risk, and existing team. A contained migration may need focused knowledge of one cloud ecosystem, while a regulated or highly available platform requires deeper architecture, security, automation, and incident-response experience.
Cloud Computing work is often well suited to remote collaboration because infrastructure, configuration, documentation, and monitoring are accessed digitally. Clear access controls, written decisions, shared incident procedures, and agreed communication windows are still essential.
The best Cloud Computing provider depends on existing skills, application needs, data location, identity systems, and preferred managed services. A qualified specialist should compare the relevant services and operational trade-offs rather than selecting a provider based only on familiarity.
Good Cloud Computing work is documented, repeatable, secure, observable, and tested under failure conditions. Ask to review the architecture rationale, infrastructure code, access model, backup tests, deployment process, and operational runbooks.
Before starting Cloud Computing work, clarify the target outcomes, current environment, cloud accounts, access boundaries, compliance needs, availability goals, and ownership after delivery. Also confirm whether the assignment covers architecture, migration, automation, ongoing operations, or only a technical assessment.
The average hourly rate of freelancers who have used Cloud Computing 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 who have used Cloud Computing in their recent projects, 93% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers who have used Cloud Computing in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers who have used Cloud Computing in their recent projects are German (99%), English (98%), and French (19%).
The most common industries among freelancers who have used Cloud Computing in their recent projects are Information Technology (90%), Banking and Finance (46%), and Professional Services (39%).
The most common business areas among freelancers who have used Cloud Computing in their recent projects are Information Technology (95%), Product Development (66%), and Project Management (65%).
Main locations of FRATCH Experts, who have recently used Cloud Computing
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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FRATCH CEO
