Google Compute Engine Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who plan, run, and tune Google Compute Engine workloads, from VM design and network setup to autoscaling, security hardening, and migration work. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Google Compute Engine
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer)
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Gabriele C.
Last position:
Startup Mentor and Technical Advisor (Volunteer) at Faros Accelerator
- Mentoring startups about technology trends and solutions, business models, market and competition research.
Moritz K.
Last position:
Senior DevOps Engineer GCP at tedi GmbH & Co. KG
- Design and implementation of DevOps and CI/CD practices for data and analytics teams
- Introduction of infrastructure as code with Terraform (IaC)
- Setup and maintenance of GCP user and permission management with Terraform in multi-project environment
- Design and implementation of CI/CD pipelines with GitHub
- Leading and training developer team for the introduction of IaC and CI/CD practices
- Building and optimising database connectors with Apache Arrow for terabyte scale data extraction (Oracle, SAP)
- Optimising data lake storage and warehouse ingest
Deependra P.
Last position:
Data Specialist at Cloud Factory
- As a Data Specialist, I leveraged analytical expertise to transform raw data into actionable insights, driving strategic decision-making and operational improvements. My role encompassed data interpretation, reporting automation, and cross-functional collaboration, utilizing advanced tools such as Microsoft Excel, Power BI, and Python for comprehensive data analysis.
- Implemented Python scripts to validate and reconcile large datasets, reducing manual errors and improving data reliability.
- Utilized Python (Pandas, NumPy, Matplotlib/Seaborn) to automate data cleaning, analysis, and visualization, improving efficiency and accuracy in reporting.
- Developed interactive dashboards in Power BI to present key metrics, trends, and performance indicators, facilitating real-time decision-making.
- Designed and executed automated reports using Excel (Pivot Tables, Power Query, VBA) and Power BI, ensuring data accuracy and consistency across departments.
- Data Analysis: Excel (Advanced Pivot Tables, Power Query), Power BI (DAX, Data Modeling), Python (Pandas, NumPy, Visualization Libraries)
- Automation & Reporting: Power BI Dashboards, Excel Macros (VBA), Python Scripting.
Satya V.
Last position:
Lead Developer at Allane Mobility Group
- Led development activities for enterprise applications, managing design, planning, and delivery to meet organizational goals.
- Constructed and deployed microservices using Java/JavaEE, Kotlin, Spring Boot, Kafka incorporating synchronous and asynchronous communication, achieving a 95% on-time delivery rate.
- Developed microservices in Golang utilizing frameworks such as Gin, GORM, and Viper for high-performance applications.
- Maintained RESTful and GraphQL APIs, enabling seamless integration with enterprise applications.
- Leveraged gRPC for secure, efficient service-to-service communication in microservices, reducing latency.
- Used SQL databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
- Integrated publisher-subscriber systems and message queue architectures (SQS, Kafka).
- Configured secure authentication and authorization systems (OAuth 2.0, OpenID Connect) using AWS Cognito and Spring Security.
- Architected scalable patterns like API Gateway, Circuit Breaker, Saga, CQRS, and Event Sourcing to enhance reliability and performance.
- Built middleware solutions integrating complex APIs and third-party services for seamless system interactions.
- Achieved cloud-native architectures with AWS services, including S3, EC2, Lambda, API Gateway, RDS, DynamoDB, SNS, SQS, EKS, ECR, and ECS.
- Delivered a centralized CI/CD pipeline, reducing deployment time by 80% through automation and standardization.
- Integrated observability tools such as Prometheus, Grafana, Datadog, and CloudWatch, improving monitoring and troubleshooting capabilities.
- Automated IaC provisioning with Terraform, ensuring consistent and scalable environments across development, testing, and production.
- Enhanced logging and visualization using the ELK stack (Elasticsearch, Logstash, Kibana).
- Optimized release processes, ensuring efficient and error-free deployments, resulting in a 30% reduction in production bugs.
- Lifted services to the cloud, transitioning legacy systems to a cloud environment to improve scalability and performance.
- Automated infrastructure tasks with Python, streamlining workflows such as S3 file uploads and SQS event handling.
- Crafted Python scripts to test AWS services locally using LocalStack, achieving 98% accuracy.
- Designed and architected large-scale, scalable enterprise applications, performing end-to-end, unit, and integration testing, reducing production bugs by 25%.
- Designed and developed web applications using Angular, HTML, CSS, and JavaScript.
- Integrated advanced security measures into the DevSecOps pipeline, including SAST with SonarQube, DAST using OWASP ZAP, vulnerability scanning with Snyk, container image scanning via Trivy.
- Mentored 5+ junior developers in Java, Kotlin, and microservices, boosting team productivity by 20% within six months.
- Facilitated workshops on modern architecture, DevOps, and cloud integration practices, enhancing team proficiency.
Kalyani K.
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Philipp G.
Last position:
Head of Product; Member of the Board at Smart Insurtech AG
- Large InsurTech provider
Discover over 15,000 top freelancers
Statistics of experts using Google Compute Engine
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
3.3 years
Positions per freelancer
7
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Product Development, Information Technology, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
86%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
86%
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 Germany 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 Germany using Google Compute Engine
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.
Google Compute Engine 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 (100%)
- Banking and Finance (57%)
- Healthcare (43%)
- Professional Services (43%)
- Automotive (29%)
- Energy (29%)
- Pharmaceutical (29%)
- Retail (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Compute on GCE
Google Compute Engine is Google Cloud’s virtual machine service for running apps, services, and batch workloads on configurable instances. Companies use it for web back ends, internal tools, data jobs, and environments that need direct control over the operating system, networking, and storage.
Typical work
- Build and maintain VM-based application environments
- Set up instance templates, managed instance groups, and autoscaling
- Configure persistent disks, snapshots, and images
- Handle load balancing, firewall rules, and private networking
Core ecosystem
Strong Google Compute Engine specialists work across Google Cloud services such as VPC, Cloud Load Balancing, Cloud Monitoring, Cloud Logging, IAM, and Cloud DNS. They often bring Terraform, Linux, Bash, and container runtime knowledge when a platform mixes VMs, containers, and automation.
When to bring in help
Companies usually look for freelance support when they need a migration from on-premises servers, a redesign of VM layouts, or a clean-up after growth has made the setup hard to manage. In Germany, this is common for product teams that want remote expertise but still need clear handover, documentation, and good communication with local stakeholders.
What good specialists do
A strong expert thinks in reliability, cost control, and repeatable operations. They know how to right-size instances, design for failover, automate provisioning, and troubleshoot network, boot, permission, and image issues without guesswork.
Search signals
Look for professionals who can explain why Compute Engine is the right choice instead of managed app services or Kubernetes for a given workload. Good signs are practical experience with migration plans, monitoring, rollback steps, and safe production changes. In Germany, clear written communication matters just as much as technical depth.
Frequently asked questions
Not sure where to start with Google Compute Engine? These answers cover the essentials.
Google Compute Engine is used to run virtual machines on Google Cloud when a team needs control over the operating system, network setup, and storage. It fits application servers, internal services, build workers, batch jobs, and legacy workloads that are not ready for a fully managed platform. Many teams also use it for staging and test environments that must behave like production.
Compute Engine gives you the most direct control because you manage the VM and the software on it. App Engine hides more of the infrastructure, while Kubernetes is better when you are operating container-based services at scale. The right choice depends on how much control, portability, and operational overhead the workload needs.
A strong Google Compute Engine specialist usually knows Linux, networking, IAM, storage, and infrastructure automation. Terraform, Bash, Cloud Monitoring, and Cloud Logging are common adjacent skills. If the setup involves production traffic, experience with load balancing, backups, and incident response also matters.
A simple environment may only need someone who can configure instances, networking, and basic security well. A migration, multi-zone design, or production hardening needs deeper experience with failure modes, rollout planning, and automation. The more business-critical the workload, the more important proven hands-on delivery becomes.
Bring in Google Compute Engine freelance help when the team is short on cloud operations depth, has a deadline-driven migration, or needs a second opinion on architecture. It is also useful when you need temporary support for a redesign, a one-off recovery, or a documentation cleanup. Freelancers can fill skill gaps without adding long-term overhead.
For most Google Compute Engine projects, remote collaboration is enough because the work happens in cloud consoles, IaC tools, and review meetings. In Germany, some companies still want on-site workshops for migration planning, security reviews, or stakeholder alignment. A good specialist should be comfortable with both formats and with clear written documentation.
Look for practical decisions, not just product knowledge. A strong Google Compute Engine professional explains why they chose a VM layout, how they handle rollback, and how they monitor health, cost, and access. Clear runbooks, tidy automation, and well-structured handover notes are good signs.
Google Compute Engine often appears together with VPC, IAM, Cloud Load Balancing, Cloud DNS, and Cloud Monitoring. Many projects also include Terraform for provisioning and Cloud Logging for troubleshooting. If the workload uses containers or data pipelines, the specialist may also need to work alongside GKE, Artifact Registry, or BigQuery.
The average hourly rate of freelancers in Germany who have used Google Compute Engine in their recent projects is 83 €, which corresponds to a daily rate of about 667 € based on an 8-hour working day.
Of the freelancers in Germany who have used Google Compute Engine in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Germany who have used Google Compute Engine in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Germany who have used Google Compute Engine in their recent projects are English (100%), German (86%), and Spanish (29%).
The most common industries among freelancers in Germany who have used Google Compute Engine in their recent projects are Information Technology (100%), Banking and Finance (57%), and Healthcare (43%).
The most common business areas among freelancers in Germany who have used Google Compute Engine in their recent projects are Information Technology (100%), Product Development (86%), and Business Intelligence (57%).
Main locations of FRATCH Experts, who have recently used Google Compute Engine
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
