
Google Cloud Platform Experts
matched in minutes from over 15,000 CVs with the power of AIHire experts who design secure cloud architectures, automate infrastructure with Terraform and Kubernetes, and build data or machine learning solutions on Google Cloud Platform. Get precisely matched with vetted, available freelancers who can contribute quickly.
Meet FRATCH Experts who have recently used Google Cloud Platform
Dany-Armand D.
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Marco S.
Last position:
IT Interim Manager & Digitalization Consultant at paarprojekt GmbH
- Project management and consulting services with a focus on IT interim management: digitalization of corporate management, including processes and applications
- Assessment of the entire IT infrastructure, including applications, core processes and contracts, including cost optimization
- Evaluation and implementation of solutions to promote digitalization in the company in the areas of property management, CRM, invoice review and approval processes, smart metering, DMS and time tracking
- Digitization of file folders and introduction of SharePoint and Microsoft Teams as central document and communication platforms
- Design and delivery of an AI workshop, including the rollout of AI tools to increase efficiency and transparency in key business processes
- Preparation of training materials and delivery of user training for newly introduced digital processes and solutions
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open-source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self-hosted solutions
- Development of reusable agentic workflows and business applications that enable non-technical employees to solve business problems independently
- Implementation of nine business applications with Single Sign-On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
Techstack: Python, Streamlit, Anthropic SDK (Claude), Azure, Linux, PostgreSQL, MS SQL, Angular
Wolfgang H.
Last position:
Interim Supply Chain / SAP S/4HANA Transformation Manager at Solventum / global logistics service provider
Stabilization of a critical logistics outsourcing setup in the context of an SAP S/4HANA transformation. The focus was on restoring a reliable operational fact base between the client, logistics service provider, international supplier plants and the SAP/IT organization.
- Coordination between the client, global logistics service provider, international supplier plants, SAP/IT teams, Quality Management and the operational shop floor.
- Management, monitoring and operational correction of Inbound Deliveries; integration of Outbound Delivery processes.
- Analysis of interface, posting, batch and master data errors between SAP S/4HANA, logistics service provider, supplier plants and internal business functions.
- Significant reduction of critical inventory differences between the client and logistics service provider.
- Improved operational management capability in the logistics environment and creation of a common fact base.
- Reduction of recurring error patterns in the areas of Inbound Deliveries, inventory, interfaces, batch/posting logic and service provider processes.
Qamar H.
Last position:
Freelance Consultant Data Analytics & AI Portfolio at TIC Company
- Support for a data, analytics and AI initiative in a regulated enterprise environment by structuring, evaluating and prioritizing several data-driven use cases based on business impact, feasibility, scalability, data maturity and governance requirements.
- Translation of complex business and analytics requirements into clear product, data and implementation logic, as well as preparation of decision-ready documents, target visions and roadmap inputs for stakeholder and management discussions.
Gabin Maxime N.
Last position:
Multi-Agent R&D Pipeline (3 Custom Agents) at Independent Project
Claude Code subagents, MCP, Pydantic V2, pytest, bandit
Designed and shipped 3 specialized agents that hand work down a line: a research agent writes a cited implementation spec, a coding agent builds the modular code and its tests, a review agent ranks findings by severity and applies the fixes. Each handoff is a structured document, so no stage depends on another agent's context window.
Connected the research agent to an academic-research MCP server (Semantic Scholar, ArXiv, Hugging Face Hub, citation snowballing) so every reference traces to a tool result rather than the model. Gated commits behind ruff, mypy, pytest and bandit, required human sign-off before installs and commits, and persisted session state on disk so long runs survive a context reset.
Nico B.
Last position:
Project Manager at Deutsche Glasfaser Holding GmbH
- Act as project manager and first point of contact on the project side
- Coordinate with teams to ensure required information is available for project completion
- Ensure both general contractors and internal teams store information correctly
- Monitor compliance with the project checklist and follow-up
- Plan and execute the project plan
- Perform budget and project calculations based on expected price calculations and estimated effort
- Participate in project meetings
- Review progress of Actoom (external partner handling data)
- Answer queries from Actoom regarding data migrations to retrieve data from internal partners or general contractors
- Contact subcontractors to obtain missing information
- Communicate with insolvent companies to obtain missing information
Reza N.
Last position:
Senior IT-Security Expert at Teambank AG
- Completed the integration of log sources into Microsoft Sentinel, including GCP workloads – centralized consolidation of all security-relevant events from Azure and GCP environments for complete end-to-end telemetry and comprehensive compliance evidence
- Developed custom rules and use cases based on the GFG Use-Case Library and the MITRE ATT&CK Matrix to cover company-specific threats and GFG-relevant scenarios with precise, mapped detection rules
- Tuned detection rules to minimize false positives, optimized detection thresholds, and modeled exceptions – enabling the SOC to work with relevant, prioritized alerts while reducing Mean Time to Detect/Respond
- Built SOAR capabilities in Sentinel by developing playbooks to automate recurring response processes such as containment, user and host isolation, and ticketing – shorter response times and 24/7 scalability
- Designed and built a log transformation solution to normalize and enrich incoming raw logs (GeoIP, CMDB, threat intelligence) and convert them into a consistent schema for high-performance KQL queries, use case logic, and correlations
- Managed Azure security through Azure Policies to enforce security and compliance standards, prevent drift, and continuously remediate deviations
- Operated the Defender XDR portal to link endpoint, identity, email, and SaaS signals with Sentinel findings, enable holistic incident triage, and orchestrate measures directly from XDR
Technologies: Microsoft Sentinel, Microsoft Defender XDR, Azure Policy, KQL, GCP, MITRE ATT&CK
Ebru A.
Last position:
Product Analytics & App Tracking Consultant at EnBW mobility+ AG & Co. KG
- Product Analytics, Mobile App Tracking & Tracking Governance (B2C Mobility App) – agile project management (Scrum/Kanban)
- Product Ownership for Product Analytics and Mobile App Tracking of the EnBW mobility+ app; gathering, prioritizing, and translating business requirements into actionable concepts and Azure DevOps user stories with acceptance criteria.
- Derivation of tracking requirements when introducing new app features (including Resilient Map), definition of tracking parameters (screens, events, custom definitions), and ensuring privacy-compliant tracking (Firebase, GA4, Adjust) based on the tracking concept.
- Design and adaptation of dashboards and funnel reporting for campaigns (GA4 validation, onboarding and order flow analyses, conversion funnels, charging start flow) to identify drop-off points and optimization potential.
- Management of the technical raw data export (Adjust to BigQuery) and connection to the data warehouse/data lakehouse, including data mapping; collaboration with international development teams, Data Engineering, Marketing/Sales, and Product Management.
- Establishment of standardized tracking architecture, naming conventions, and governance; analysis and expansion of tracking (new features and “blind spots”), test design, handover to testers, and quality assurance and approval before releases; documentation in Conceptboard.
Khalid E.
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Stefan O.
Last position:
Founder at ProtocolEngine.io
Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.
- Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
- Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
- Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
- Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
- Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
- Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.
Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.
Eric B.
Last position:
Quality Assurance Manager (QSV) at Federal Employment Agency
Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.
Defining the general guidelines in the QA handbook
Summarising test results in QA reports for PLA
Analysing project results for improvement opportunities
Quality management of requirements analysis (particularly processes, methods, and tools)
Ensuring compliance with SERA requirements
Creating a cross-project test concept
Agreeing on sprint completion reports
Formal review of work results in accordance with requirements and/or the project plan
Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Kai Z.
Last position:
Enterprise Program Manager / Program Lead at YouGov Consumer Panel Services
The program supports the comprehensive realignment of the German Consumer Panel Services business. It combines a significant panel boost with the reprocessing of historical data and the integration of new receipt data. By significantly expanding and stabilizing the panel with the involvement of external partners, the aim is to improve the validity of the data base and create a reliable foundation for methodology, weighting and customer reporting. At the same time, historically grown processes for data delivery, OCR, matching, item QC, methodology and reporting are being harmonized, further developed technologically and reorganized. The goal is a scalable end-to-end landscape with higher data quality, clear responsibilities, reliable governance and sustainably manageable operational processes.
- Overall management of the restatement program, including the integrated roadmap as well as milestones, dependencies, risks and management decisions.
- Coordination of the panel boost and alignment of the required data deliveries, quality requirements and prerequisites for methodology, weighting and reporting.
- Alignment of business, product, data science, technology, operations and external partners around a shared target picture, aligned priorities and an integrated approach.
- Design of the organizational change triggered by the fundamental realignment of the data base, methodology and management logic, which has a lasting impact on established decision-making and collaboration patterns.
- Establishment and further development of governance, reporting and escalation structures as well as program-wide monitoring and operational processes for reliable management and sustainable handover.
- Management of critical data, technology and provider dependencies, including reprocessing, OCR transition and the timely synchronization of delivery, testing, methodology and reporting.
- Orchestration of international collaboration with teams and stakeholders in Germany, the United Kingdom, Portugal and Romania, as well as with external suppliers in Germany and Austria.
Impact Areas and Expertise: Program & Delivery Leadership, Business & Technology Alignment, Organization & Transformation, Governance & Sustainable Operations, Strategy & Target, Methodic Leadership, Transformation & Change Leadership, Executive Advisory
Ales L.
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.
Dmitry P.
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Platform
Aggregated from the professional profiles of matched freelancers.
Experience
17 years

Position duration
2.1 years

Positions per freelancer
11

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
94%
Master's degree or higher
59%
Doctorate
9%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
97%
Based on our profile pool as of 16 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 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 16 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.
- Information Technology (92%)
- Banking and Finance (45%)
- Professional Services (39%)
- Retail (38%)
- Automotive (36%)
- Manufacturing (32%)
- Healthcare (29%)
- Education (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud foundation
Google Cloud Platform, commonly called GCP or Google Cloud, is a public cloud environment for computing, storage, networking, databases and managed application services. Companies use it to run websites, APIs, business systems, analytics workloads and machine learning products without maintaining all physical infrastructure themselves.
Services and architecture
GCP projects often combine Compute Engine, Google Kubernetes Engine, Cloud Run and App Engine for application hosting. Cloud Storage, Cloud SQL, Spanner, BigQuery and Firestore cover different storage and data needs. VPC networking, IAM, Secret Manager and Cloud Load Balancing help teams separate workloads and control access.
Delivery and automation
Strong specialists connect Google Cloud to reliable delivery practices and repeatable infrastructure. Their work may include:
- Creating Terraform modules and CI/CD pipelines
- Moving workloads from private data centers or another cloud
- Designing containers, Kubernetes clusters and serverless services
- Setting up monitoring, logging, alerts and cost controls
When expertise matters
Companies bring in freelance GCP expertise during cloud migrations, platform rebuilds, product launches and data modernisation programs. Specialist support is also useful when internal teams need help with security design, performance problems, disaster recovery or a complex multi-cloud setup.
Skills around GCP
The best professionals understand more than isolated Google Cloud products. They work confidently with Linux, networking, identity, containers, Git and infrastructure as code, while adapting designs to the application and compliance context. Experience with Python, Java, Go or Node.js can support application and automation work, and BigQuery or Vertex AI may matter for data-focused initiatives.
Judging professional quality
Look for clear architecture decisions, controlled permissions and infrastructure that can be reproduced across environments. A capable specialist explains trade-offs between GKE, Cloud Run and Compute Engine instead of forcing one service into every use case. Ask for evidence of migration planning, operational handover, observability and practical recovery procedures.
Frequently asked questions
Before you brief your next project: the most common questions about Google Cloud Platform.
Google Cloud Platform is used to host applications, APIs, websites, databases, data pipelines and machine learning workloads. It also provides services for networking, identity, observability, security and infrastructure automation.
Google Cloud is often considered for its data analytics, Kubernetes and machine learning services, while AWS and Azure may fit different existing ecosystems or procurement needs. The right choice depends on workload requirements, team skills, integrations, governance and migration effort rather than brand preference.
A strong GCP specialist usually understands networking, Linux, IAM, containers, Kubernetes, Terraform and CI/CD. Depending on the project, useful adjacent skills include BigQuery, Python, SQL, security engineering, observability and cloud cost management.
The required experience depends on the work. A contained Cloud Run deployment may need a different profile from a regulated migration involving networking, identity, Kubernetes and disaster recovery. Match the specialist to the architecture decisions and operational responsibility they will own.
Google Cloud Platform work is often well suited to remote collaboration because infrastructure, repositories and monitoring tools are accessible online. Clear documentation, secure access, agreed working hours and effective communication matter; on-site sessions can still help with discovery, workshops or legacy infrastructure.
Ask the Google Cloud freelancer to explain a relevant architecture, including security boundaries, failure handling, deployment flow and cost controls. Review the quality of their documentation and handover plan, not only the list of services they have used.
Google Kubernetes Engine suits teams that need detailed control over containers, networking, scheduling and cluster operations. Cloud Run is often simpler for stateless container services when the team prefers a managed runtime and has fewer infrastructure concerns.
A Google Cloud freelancer should clarify the current architecture, access model, deployment process, service ownership and definition of done before starting. They should also understand whether the assignment focuses on migration, application delivery, data platforms, security or ongoing operations.
The average hourly rate of freelancers who have used Google Cloud Platform in their recent projects is 98 €, which corresponds to a daily rate of about 781 € based on an 8-hour working day.
Of the freelancers who have used Google Cloud Platform in their recent projects, 94% hold at least a Bachelor's degree, 59% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers who have used Google Cloud Platform in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers who have used Google Cloud Platform in their recent projects are English (98%), German (95%), and French (15%).
The most common industries among freelancers who have used Google Cloud Platform in their recent projects are Information Technology (92%), Banking and Finance (45%), and Professional Services (39%).
The most common business areas among freelancers who have used Google Cloud Platform in their recent projects are Information Technology (96%), Product Development (81%), and Project Management (57%).
Main locations of FRATCH Experts, who have recently used Google Cloud Platform
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.
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