Crossplane Experts in Germany
matched in minutes by AIHire experts who provision cloud infrastructure through Kubernetes APIs, design reusable platform abstractions and connect AWS, Azure or Google Cloud resources with GitOps workflows. FRATCH matches you precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Crossplane
Kevin F.
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)
Frank E.
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
Jorge M.
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
Werner K.
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
Martin G.
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
Tomas S.
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
Tan P.
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.
Jorge M.
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
Kai H.
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
Hans K.
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
21 years
Position duration
2.2 years
Positions per freelancer
16
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Automotive, Insurance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
71%
Certifications per freelancer
9
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Crossplane 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%)
- Automotive (70%)
- Insurance (70%)
- Banking and Finance (60%)
- Transportation (60%)
- Healthcare (50%)
- Media and Entertainment (40%)
- Professional Services (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Crossplane does
Crossplane extends Kubernetes so teams can manage cloud infrastructure and managed services through declarative APIs. It turns infrastructure requirements into Kubernetes resources, letting companies provision databases, networks, clusters and storage with the same control model used for applications.
Platform building blocks
Crossplane projects commonly combine Kubernetes, custom resource definitions and compositions. Professionals define composite resources that hide provider-specific details behind simpler APIs, then use claims, functions and policies to give internal teams safe, consistent self-service.
- Configure AWS, Azure or Google Cloud resources
- Create reusable compositions and composite resource definitions
- Connect infrastructure changes to GitOps repositories
- Apply environment, tenancy and access controls
Ecosystem and tooling
The ecosystem includes Crossplane providers, Kubernetes controllers, Helm, Argo CD and Flux. Strong specialists also work with Terraform or cloud-native APIs when selecting the right provisioning approach, and understand Kubernetes networking, identity, secrets management and observability.
When companies need specialists
Companies bring in freelance expertise when they are standardising infrastructure across teams, replacing fragmented scripts or creating an internal developer platform. In Germany, Crossplane often appears in cloud transformation work where reliable governance, auditability and collaboration across distributed teams matter.
- A platform must expose safe self-service infrastructure
- Different cloud accounts or regions need one operating model
- Compositions have become difficult to test and maintain
- Provisioning needs stronger policy and lifecycle controls
Typical deliverables
A professional may deliver a Crossplane platform design, provider configuration, compositions, claim APIs and deployment pipelines. The work can also include migration plans, upgrade procedures, testing strategies, documentation and integration with identity, secrets and monitoring systems.
What strong professionals bring
The best specialists understand both Kubernetes reconciliation and the operational realities of cloud infrastructure. They design APIs that remain understandable, make provider changes explicit, test failure and deletion paths, and separate platform defaults from application-specific configuration. They communicate trade-offs clearly in remote or on-site teams and leave maintainable, documented systems behind.
Frequently asked questions
Everything clients usually want to know about Crossplane, in one place.
Crossplane is used to provision and manage cloud infrastructure through Kubernetes-style APIs. Teams use it for databases, networks, storage, cloud services and complete platform products, while keeping configuration declarative and suitable for GitOps workflows.
Crossplane runs as a Kubernetes control plane and continuously reconciles infrastructure through controllers. Terraform is commonly used as a plan-and-apply workflow, while Crossplane is often preferred when platform teams want Kubernetes-native APIs, self-service claims and ongoing reconciliation.
A strong Crossplane specialist should understand Kubernetes, custom resource definitions, controllers and GitOps. Cloud services on AWS, Azure or Google Cloud, plus Helm, Argo CD or Flux, identity, secrets and observability, are valuable adjacent skills.
The required experience depends on the scope and risk of the platform. A small provider integration may need focused expertise, while a multi-team platform requires someone who has designed compositions, handled upgrades and tested reconciliation, access control and resource deletion.
Crossplane can coexist with Terraform during a staged transition, but ownership boundaries must be explicit. A specialist should decide which system manages each resource, avoid competing state or controllers, and define how imports, drift and eventual migration will be handled.
Crossplane is well suited to remote work because its configuration, compositions and delivery pipelines can be reviewed in Git. For German teams, clear written documentation and confident English or German communication help when coordinating platform standards, security reviews and operations across locations.
Ask a Crossplane professional to explain a composition, its API contract and what happens when a provider call fails. Good answers cover reconciliation, readiness, ownership, secrets, upgrades, testing and deletion safety rather than focusing only on creating resources.
Crossplane may be a poor fit when a team has no Kubernetes operating model or only needs occasional, straightforward infrastructure changes. It also adds unnecessary control-plane complexity if there is no need for Kubernetes-native self-service, reusable abstractions or continuous reconciliation.
The average hourly rate of freelancers in Germany who have used Crossplane in their recent projects is 110 €, which corresponds to a daily rate of about 881 € based on an 8-hour working day.
Of the freelancers in Germany who have used Crossplane in their recent projects, 86% hold at least a Bachelor's degree and 71% hold at least a Master's degree.
On average, freelancers in Germany who have used Crossplane in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Germany who have used Crossplane in their recent projects are German (100%), English (100%), and French (20%).
The most common industries among freelancers in Germany who have used Crossplane in their recent projects are Information Technology (100%), Automotive (70%), and Insurance (70%).
The most common business areas among freelancers in Germany who have used Crossplane in their recent projects are Information Technology (100%), Project Management (90%), and Product Development (80%).
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
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Philipp Thomaschewski
FRATCH CEO
