Cloud Foundry Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Cloud Foundry
Philipp Dölker
Last position:
IT Architect & IT Product Manager at Dr. Ing. h.c. F. Porsche AG
- Optimization of software lifecycle processes for SAP platform apps (BTP CAP)
- Development of template MCP servers for S/4 CALM systems of Porsche AI (BTP)
- Design, development, and IT product management for two MS CoPilot custom agents supporting SAP systems (incl. MCP integration)
- Lead Center of Practice: AI-assisted ABAP development
- Initiation and coordination of the proof of concept implementation of conduct.ai
- Advising application teams on software and integration architecture, clean core principles and implementation, as well as AI use on the SAP platform
Christof Hlipala
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Nico Blum
Last position:
Freelance Software Engineer & Technical Consultant at Brain Appeal GmbH
Project: Frontend relaunch Campus Events
- Technical responsibility for the design and step-by-step implementation of the frontend relaunch of an existing event management platform, in close coordination with product and business teams.
- As-is analysis and stakeholder interviews as the basis for the target picture and the evaluation of possible solution approaches.
- Building a modular, extensible frontend architecture with a clear separation between theming and template structure - the basis for independent further development of individual areas.
- Implementation in parallel with the existing frontend for a low-risk, gradual transition without interrupting operations.
Technologies: PHP, Symfony 7, Bootstrap 5, CSS, JavaScript
Julian Kunert
Last position:
Software Analysis in Gaming at dzkraken.com
- Development of a plug-and-play solution for game server operators to collect, process, and display game server data
- Integration of a subscription-based payment system
- Technologies: C#-10, .NET5, SQL, .NET8, PostgreSQL, Angular, JavaScript, TypeScript, CSS, Entity Framework, TailwindCSS, OIDC, JWT, Stripe, OAuth2.0, Docker, Testing, Portainer, PowerShell
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Alexander Zubok
Last position:
Fullstack Developer and DevOps Engineer at Freelancer
- Develop infrastructure and enhance existing infrastructure: Jenkins, GitLab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
- Document solutions in Jira/Confluence
- Support other colleagues in various technical areas
Pierre Gronau
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
Stephan Fröde
Last position:
NLP/LLM Chatbot at Insurance
- Conceptualized and implemented an LLM-based case assistant (file assistant)
- Selected and evaluated RAG methods; designed hybrid RAG information retrieval using Elasticsearch + embeddings
- Built ingestion pipelines for multiple document formats; analyzed and aligned with source systems
- Developed a Streamlit-based chatbot GUI and performed NLP-based causal chain analysis for regress cases
- Evaluated analytical LLM methods; deployed via Jenkins to OpenStage
Igor Li
Last position:
Senior Software Engineer at Toptal
- Collaborated with stakeholders to gather requirements and use cases for new features, made implementation plans, and tracked progress.
- Improved internal links for more than 60,000 public pages by unifying link texts.
- Increased conversion of new talents by 30% without significantly dropping their quality.
- Reduced the cycle of blog domain creation from two months of engineering work to a process handled by content editors.
- Created a light, adjustable Hanami CLI application to prepare data for the Grafana team’s KPI dashboard.
- Generated content sections of public pages with data from Kafka and BigQuery, enabling almost real-time data on public pages.
- Coordinated with cross-functional teams on high-priority tasks, addressing technical challenges and balancing multiple responsibilities to meet project goals.
- Delivered urgent updates for critical website components, ensuring timely delivery and smooth functionality under tight deadlines.
- Assisted teammates with Docker, service deployment, and backend implementation questions.
Olaf Titel
Last position:
CTO, Partner, Agile Coach, Product Owner at fluidx digital GmbH
- Development and launch of a browser-based platform for camera streaming, augmented reality (AR), and visual computing
- Device-independent camera streaming for smartphones, tablets, desktop PCs, as well as VR and AR headsets
- Ensuring GDPR-compliant hosting in Open Telekom Cloud and other sovereign cloud providers
- Intuitive visual and collaborative features to boost efficiency and seamlessly integrate into existing enterprise software
Khaled Mohamed
Last position:
Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)
- Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
- Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
- Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
- Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
- Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
- Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
- Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
Yan Ozer
Last position:
Software Developer (C++, Python) at Vaillant Heizsysteme
- Implemented communication between heating system modules via the SOME/IP interface in C++
- Developed additional software components in C++
- Executed unit tests and integration tests in the GitLab CI workflow
- Set up desktop publishing functionality
- Tools: C++, Python, Linux, Robot Framework
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using Cloud Foundry
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
1.5 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
83%
Master's degree or higher
50%
Doctorate
22%
Certifications per freelancer
2
Most common languages
German, English, Russian
Speak two or more languages
90%
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 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 Cloud Foundry
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 Foundry basics
Cloud Foundry is a platform for running applications without managing every server by hand. Teams use it to push services, route traffic, bind backing services, and keep releases repeatable across environments. It is common in enterprise setups where standardisation matters.
Typical work
- App deployment with cf push and manifest files
- Buildpacks and runtime setup
- Service binding for databases, queues, and caches
- Routing, scaling, and zero-downtime release flows
- Platform upgrades and foundation maintenance
Ecosystem
Cloud Foundry often appears as CF, Pivotal Cloud Foundry, or VMware Tanzu Application Service. Strong professionals understand buildpacks, Diego, UAA, Gorouter, and CLI-based delivery. They also know how Cloud Foundry fits beside Kubernetes, CI/CD pipelines, and internal developer platforms.
When to bring in help
Companies usually bring in freelance expertise when a platform rollout is delayed, releases are unstable, or teams need help with migrations and upgrades. In Germany, this often comes up in regulated industries, large IT organisations, and enterprise product teams that need clean handovers and clear documentation.
What good specialists do
Strong Cloud Foundry specialists keep apps portable and operations simple. They read manifests carefully, manage services cleanly, and troubleshoot route, health, and deployment issues without guesswork. They also write documentation that lets product teams and operations teams work from the same playbook.
Hiring signals
- Multiple apps need a standard deployment model
- Teams struggle with service bindings or environment drift
- Platform changes affect release speed or reliability
- Migrations from older setups need careful planning
- Internal teams need support with on-site or remote collaboration
Frequently asked questions
Not sure where to start with Cloud Foundry? These answers cover the essentials.
Cloud Foundry is used to run application workloads with a consistent deployment model, service bindings, routing, and scaling. Companies choose it when they want teams to ship software without dealing with every infrastructure detail on each release.
Cloud Foundry focuses on application delivery and platform standardisation, while Kubernetes gives more control over container orchestration. Many organisations use Cloud Foundry when they want simpler developer workflows, and Kubernetes when they need deeper container-level control.
A strong Cloud Foundry professional usually knows buildpacks, manifests, the cf CLI, service brokers, routing, and platform troubleshooting. Familiarity with CI/CD, Linux, networking, and public or private cloud foundations is also important.
A Cloud Foundry project needs different depths of expertise depending on the task. Basic app onboarding may need someone who knows deployment patterns, while migrations, upgrades, and platform operations call for deeper platform experience and careful change control.
Yes, Cloud Foundry is often used in enterprise settings where standard processes and repeatable deployments matter. It can fit well when teams need controlled access, clear separation of environments, and documented release flows.
Many Cloud Foundry tasks can be handled remotely, especially app onboarding, troubleshooting, and documentation. On-site work can help when a platform change involves sensitive stakeholders, shared infrastructure, or tight coordination with local teams in Germany.
Look for someone who can explain how Cloud Foundry apps are deployed, how services are bound, and how route or health issues are resolved. Good specialists ask about platform constraints early and describe trade-offs clearly instead of relying on vague platform talk.
Most teams compare Cloud Foundry with Kubernetes, traditional VM-based hosting, and managed cloud application services. The right choice depends on how much control the team wants, how much standardisation is needed, and how much platform ownership they can handle.
The average hourly rate of freelancers in Germany who have used Cloud Foundry in their recent projects is 94 €, which corresponds to a daily rate of about 755 € based on an 8-hour working day.
Of the freelancers in Germany who have used Cloud Foundry in their recent projects, 83% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Germany who have used Cloud Foundry in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Cloud Foundry in their recent projects are German (95%), English (90%), and Russian (24%).
The most common industries among freelancers in Germany who have used Cloud Foundry in their recent projects are Information Technology (95%), Automotive (67%), and Banking and Finance (48%).
The most common business areas among freelancers in Germany who have used Cloud Foundry in their recent projects are Information Technology (100%), Product Development (86%), and Quality Assurance (62%).
Main locations of FRATCH Experts, who have recently used Cloud Foundry
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.
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