Crossplane Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Crossplane
Kevin Fischer
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Jorge Machado
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
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.
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
Oluwasegun Adebayo
Last position:
Observability Specialist at ING GmbH
- Requirements analysis for the enterprise-wide observability platform.
- Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
- Conducting load tests for capacity planning of metrics for the observability platform.
- Documentation and implementation of compliance standards for production readiness.
- Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
- Setting up alerts for critical applications for proactive incident response.
- Integration of OpenShift applications into the enterprise-wide observability stack.
Martin Gross
Last position:
Product Management for Medical Portal at MedTech Startup
- Product strategy and roadmap development for digital health portal
- Requirements engineering and feature prioritization
- User story definition and backlog management
- Prototype development
- Implementation of continuous delivery
- Search engine optimization
- Technological environment: Claude Code, Claude Sonnet 4.5, Agentic Coding, TypeScript, React, AstroJS, PostgreSQL, JetBrains IntelliJ, Netlify, Supabase, GitHub Actions, Git, DevOps, continuous delivery
Jorge Machado
Last position:
Data Architect at Deutsche Bahn
- Design and provide best practices on data modeling for dbt, including changing dimensions, late arriving data handling, and testing
- Design the ingestion flow from other systems into S3 and Redshift
- Design and implement new partitions for Dagster and incremental loading with dbt
- Map business requirements to technical architectures
- Instruct junior team members
Tomas Stiller
Last position:
Co-Founder & CTO at Printkiss GmbH & Co. KG
- Agile app development and product ownership in e-commerce
- Feature planning and creating user stories
- Organizing external freelancers (cross-functional teams)
- Backend and frontend development
- Story mapping
- Backlog management
- Roadmap planning
- Budget control and capacity planning
Kai Held
Last position:
Backend Python Engineer at Rohde & Schwarz SIT
- Conceptualizing & developing a need-to-know, domain-based identity and access management system in a high-security environment
- Backend development (Python): API & microservice development
Frank Eppink
Last position:
DevOps at Lauck-IT
Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines
Hans Kula
Last position:
Senior IT-Operations Specialist at Carl Zeiss Digital Innovation
- Technical and strategic support for the task force to build a globally available service unit focused on Microsoft Azure Cloud under the Follow the Sun principle and SAFe
Discover over 15,000 top freelancers
Statistics of experts using Crossplane
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.1 years
Positions per freelancer
15
Top business areas
Information Technology, Project Management, Operations
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
88%
Master's degree or higher
75%
Certifications per freelancer
9
Most common languages
German, English, French
Speak two or more languages
100%
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 Crossplane
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
What Crossplane does
Crossplane extends Kubernetes so teams can manage cloud infrastructure and platform services with the same tools they use for workloads. It is used to define infrastructure as code, compose higher-level service templates, and keep environments consistent across teams. Many search for it as Crossplane or Upbound Crossplane.
Typical work
- Build composite resources and compositions for reusable service delivery
- Connect cloud providers, databases, storage, and networking APIs
- Create GitOps-friendly workflows around Kubernetes-based platform control
- Standardize self-service provisioning for product teams
Ecosystem and tools
Strong specialists know the Kubernetes API model, CRDs, controllers, and provider packages that Crossplane relies on. They often work with Helm, GitOps tooling, cloud provider APIs, and policy controls. They also understand how to structure claims, compositions, and managed resources so the platform stays maintainable.
When companies bring in help
Teams usually look for freelance support when platform engineering work stalls, cloud provisioning becomes hard to maintain, or a new Crossplane setup needs a clean design. In Germany, this often comes up in distributed product teams that need English communication and clear handover documents. Experts help shorten the path from prototype to stable internal platform.
What good specialists deliver
- Clear resource models that separate service intent from provider details
- Reliable composition logic with sensible defaults and patches
- Troubleshooting for reconciliation loops, permissions, and provider behavior
- Documentation that helps platform and application teams use the system well
Signs you need a specialist
If your team is mixing Terraform, Kubernetes, and cloud APIs without a clear operating model, Crossplane can become messy fast. Good experts simplify that setup and make ownership clear. They know when Crossplane is the right fit and when a lighter approach is better.
Frequently asked questions
Everything clients usually want to know about Crossplane, in one place.
Crossplane is used to manage cloud infrastructure and platform services through Kubernetes. Companies use it to create reusable service templates, automate provisioning, and give teams self-service access without exposing provider complexity. It is a strong fit when infrastructure and platform delivery need to follow the same workflow as application changes.
Crossplane and Terraform both automate infrastructure, but they model the problem differently. Terraform is usually applied as a separate provisioning tool, while Crossplane works through the Kubernetes control plane and custom resources. Teams choose Crossplane when they want Kubernetes-native operations and a platform API that product teams can consume directly.
Crossplane is the open-source project, and Upbound is the company closely associated with it. Searchers often use the name Upbound Crossplane when they mean the same Kubernetes-based infrastructure control approach. A good specialist should understand the project itself, provider packages, and the operational patterns around it.
A strong Crossplane specialist usually knows Kubernetes deeply, especially CRDs, controllers, RBAC, and reconciliation behavior. Cloud API knowledge matters too, because the work depends on how providers expose resources and permissions. Good documentation and GitOps habits are also important for long-term maintainability.
A Crossplane project benefits from someone who has already shipped compositions, not just read the docs. Small experiments can be handled quickly, but production platforms need careful resource design, provider selection, and operating rules. If the goal is stable internal platform delivery, practical hands-on experience matters more than general cloud knowledge alone.
Yes, Crossplane work is often well suited to remote collaboration. Most tasks can be done through code, design reviews, and documentation, which makes distributed delivery practical. For teams in Germany, it helps when the specialist is comfortable with clear written communication and can join planning sessions in the working language you need.
Look for concrete examples of Crossplane compositions, provider integration, and real platform decisions. Strong experts can explain trade-offs, such as when to use managed resources, when to abstract with claims, and how to keep the system understandable for other teams. They should also be able to talk about debugging and operational ownership, not just initial setup.
A Crossplane engagement should usually produce usable platform assets, not just advice. Expect compositions, provider configuration, documentation, and a clear model for how teams request and manage services. In many cases, the best outcome is a platform that product teams can use safely without learning the underlying cloud details.
The average hourly rate of freelancers in Germany who have used Crossplane in their recent projects is 116 €, which corresponds to a daily rate of about 929 € based on an 8-hour working day.
Of the freelancers in Germany who have used Crossplane in their recent projects, 88% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Germany who have used Crossplane in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Crossplane in their recent projects are German (100%), English (100%), and French (18%).
The most common industries among freelancers in Germany who have used Crossplane in their recent projects are Information Technology (100%), Automotive (73%), and Banking and Finance (64%).
The most common business areas among freelancers in Germany who have used Crossplane in their recent projects are Information Technology (100%), Project Management (82%), and Operations (73%).
Main locations of FRATCH Experts, who have recently used Crossplane
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
