Google Cloud Platform Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Google Cloud Platform
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Lothar H.
Last position:
Solution Manager for the investigation PoC and exchange and refinement of an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigation PoC and exchange and refinement of an existing cloud and IoT power plant control solution for certificate management of renewable energy power plants (solar, wind, biomass and others) of the largest European renewable energy power plant operator in this field, including investigation of the IoT devices used in the field and their integration and network connection with the aim of automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and Attack Vector Analysis, Software Quality & Bug Assessments
- Agile Workload Scheduling via Jira & ConJluence
- Evaluation of message streams Pub/Sub for MQ and KaJka.
- Various tests with “best design approaches” regarding resilience patterns such as Circuit Breaker Designs, Throughput Measurement and Monitoring, Bulkhead Governors - for robust EA design
- Integration of API Management with IBMs API Connect to Kubernetes - for agnostic Microservices API Management Designs. Google Apigee
- Solution Health Check Approaches for Load Burst Situations + Remedy
- Research and investigation of available potential subcontractors in the coordinating role as Solution Manager. CIS20 Controls.
- Dread and Stride Security Assessments.
Robin S.
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Sergey K.
Last position:
Managing Director Cybersecurity at CBA-Cybersecurity and Business Advisory GmbH
- Development of comprehensive services in cybersecurity, IT governance, and AI
- Building and delivering strategic security solutions such as vCISO service, ISMS, SOC-as-a-Service (SIEM, SOAR, use cases, playbooks, threat hunting, incident response), AI-driven risk and compliance tools, and frameworks for outsourcing and third-party risks
- Supporting companies in meeting regulatory requirements and certifications (ISMS, NIS-2, DORA, CRA, KRITIS, ISO 27001, TISAX, BSI IT Baseline Protection, EU AI Act)
- Promoting innovations in cybersecurity automation, AI governance, and secure digital transformation
- Responsible for company growth, client relations, and strategic partnerships
Marcel S.
Last position:
Technical Lead / Lead Developer at REWE digital
- Due to an organizational restructuring towards product-based teams, the implementation of a Data Mesh in the area of Digital Supplier Management (DSM) was decided.
- A highly available real-time Data Mesh for providing large volumes of data via Kafka and REST to other products.
- New development of a core supplier management software in a (micro-)service-based architecture with a modern tech stack.
- Technologies/Tools:
- Java 21
- Spring Boot
- Angular
- TypeScript
- Go
- MapR
- Kafka
- Docker
- Google Cloud Platform (GCP)
- Kubernetes
- Helm
- GitLab CI
- Maven
- JUnit
- Mockito
- WireMock
- Cypress
- Keycloak
- OAuth 2.0 & OpenID Connect
- Humio
- Nexus
- Artifactory
- SonarQube
- Renovate
- Git
- Postman
- IntelliJ
Dennis D.
Last position:
Founder at Latence
- Founded Latence to commercialise runtime safety patterns from HALO as a deployable product.
- Built end-to-end as single technical founder with open-source stack on NVIDIA ecosystem.
- Developed TRACE: real-time safety layer for knowledge agents and RAG pipelines with groundedness scoring, prompt-attack detection, GDPR redaction, context compression, audit-ready traces.
- Developed vLLM Factory: production inference framework on vLLM with custom Triton kernels and 12 parity-validated plugin models, achieving up to 11.7Ă— throughput vs vanilla PyTorch.
- Developed ColSearch: single-node multi-vector late-interaction retrieval engine with Rust SIMD and fused CUDA, achieving 3.12Ă— FastPlaid geomean QPS on BEIR-8 and a 1.58-bit quantized lane 6.4Ă— smaller than FP16.
- Developed llm-opt: LLM compression research framework with hierarchical importance, structured pruning, tabu search, knowledge distillation.
Friederike B.
Last position:
Independent Consultant and Trainer at Friederike Bohm Consulting
- Consulting on lean, logistics, AI applications and process optimization
- Customized concepts for digitalization, change & transformation
- Adaptive training and workshops for professionals and managers
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Platform
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)
Position duration
2.2 years (Germany: 2 years)
Positions per freelancer
9 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Automotive, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
57% (Germany: 60%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Stuttgart 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.
Discover detailed Google Cloud Platform rate benchmarks:
Explore rate insightsAverage rates of experts in Stuttgart using Google Cloud Platform
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Google Cloud Platform experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (86%)
- Banking and Finance (71%)
- Information Technology (71%)
- Transportation (43%)
- Professional Services (43%)
- Government and Administration (43%)
- Tourism (43%)
- Manufacturing (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Google Cloud Platform does
Google Cloud Platform, commonly called GCP, is Google’s public cloud for running applications, storing data and delivering digital services. It combines compute, networking, databases, analytics, artificial intelligence and security in one environment. Companies use it for scalable web products, connected systems, internal platforms and data-intensive workloads.
Core services and tooling
GCP includes Compute Engine for virtual machines, Google Kubernetes Engine for containers, Cloud Run for serverless applications and Cloud Functions for event-driven tasks. Cloud Storage, Cloud SQL, Spanner, BigQuery and Pub/Sub cover storage, databases, analytics and messaging. Strong specialists also work with Terraform, Cloud Build, Artifact Registry, IAM, VPC networking and observability tools.
Typical project work
- Design landing zones, projects, folders, IAM roles and network boundaries
- Migrate applications and databases from on-premises systems or other clouds
- Build data platforms with BigQuery, Dataflow, Pub/Sub and Looker
- Deploy containerized services through GKE, Cloud Run and automated pipelines
- Add Vertex AI workflows, model serving and governed machine learning data
These deliverables connect infrastructure, application code, data operations and security. The right approach depends on workload patterns, compliance needs, team skills and existing systems.
When companies need specialists
Freelance expertise is useful when a team is moving workloads to GCP, replacing manual infrastructure or preparing a production launch. It also helps when cloud costs are unclear, permissions have grown too broad, deployments are unreliable or data teams cannot scale their pipelines. In Stuttgart, specialists may support industrial, automotive, software and research environments while collaborating on-site, remotely or in a hybrid setup.
Skills that matter
A strong professional understands more than individual Google Cloud services. They can translate business requirements into resilient designs, explain trade-offs and document decisions clearly. Look for experience with identity and access management, network security, encryption, backup strategy, monitoring, incident response and cost controls. Familiarity with Linux, containers, Kubernetes, Git, CI/CD and infrastructure as code is often important.
How to assess quality
Ask for a clear explanation of the proposed architecture, its failure points and its operational ownership. Good specialists define migration steps, testing, rollback plans and measurable acceptance criteria before changing production systems. They distinguish managed services from custom components, keep permissions narrow and make dashboards and runbooks usable by the internal team. Remote collaboration works well when documentation, communication and English or German language expectations are agreed early.
Frequently asked questions
Key details about Google Cloud Platform, drawn from the questions we get asked most.
Google Cloud Platform is used to host websites, APIs, enterprise applications, data warehouses and machine learning systems. Teams also use GCP for container platforms, event-driven processing, disaster recovery and large-scale analytics.
GCP is often considered for its data services, Kubernetes ecosystem, global network and integration with Google’s machine learning products. AWS and Azure may fit better when a company already depends heavily on their ecosystems, commercial agreements or specific enterprise integrations.
A strong Google Cloud Platform specialist often works with Terraform, Kubernetes, Linux, Git, CI/CD and Python or another application language. They should also understand IAM, networking, observability, databases and security rather than treating cloud services as isolated tools.
GCP work needs a level of experience suited to its risk and scope. A simple deployment may need focused service knowledge, while a migration or regulated production environment calls for a professional who has handled architecture, security, operations and rollback planning.
Google Cloud Platform projects can usually be delivered remotely when access, documentation and communication routines are well defined. Stuttgart companies may prefer hybrid collaboration for workshops or sensitive infrastructure work, with German or English agreed according to the wider team.
Before working with GCP, the specialist should clarify the current environment, target services, access model, data locations, delivery milestones and operational ownership. Existing cloud accounts, billing structures, security policies and dependencies should be reviewed before implementation begins.
A reliable Google Cloud Platform professional explains trade-offs in plain language and provides documented infrastructure, controlled permissions, monitoring and recovery procedures. Review the proposed tests, deployment process and handover plan, not just the list of services used.
Google Cloud Platform is a strong option when a project needs BigQuery, Dataflow, Pub/Sub, Vertex AI or close integration between analytics and application services. The choice still depends on data governance, existing skills, workload design and the operational model the company can support.
The average hourly rate of freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects is 112 €, which corresponds to a daily rate of about 897 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects are German (100%), English (100%), and Russian (29%).
The most common industries among freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects are Automotive (86%), Banking and Finance (71%), and Information Technology (71%).
The most common business areas among freelancers in Stuttgart, Germany who have used Google Cloud Platform in their recent projects are Information Technology (100%), Business Intelligence (71%), and Product Development (71%).
Main locations of FRATCH Experts, who have recently used Google Cloud Platform
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 
Dusseldorf 
Dortmund 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
