Crossplane Experts in Germany
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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)
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
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
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
Oluwasegun A.
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 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
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 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 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 19 Sep 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 (73%)
- Banking and Finance (64%)
- Insurance (64%)
- Transportation (55%)
- Healthcare (45%)
- Professional Services (45%)
- Government and Administration (45%)
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 through declarative APIs. It turns infrastructure resources into Kubernetes objects and lets companies define application platforms with consistent workflows. This supports repeatable provisioning without hiding the underlying cloud services.
Core building blocks
Crossplane specialists work with providers, managed resources, compositions and composite resource definitions. They design APIs that expose only the settings application teams need while keeping cloud-specific details behind reusable abstractions. They also configure claims, reference fields, patches, functions and connection details.
Ecosystem and tooling
Crossplane runs alongside Kubernetes and commonly integrates with Helm, GitOps workflows, Argo CD, Flux, Terraform providers and cloud identity systems. Strong professionals understand provider configuration, Kubernetes RBAC, admission controls, secrets management and observability. Upbound and its associated tooling may also be relevant when teams need managed control planes or enterprise operating models.
Typical project work
- Define internal APIs for databases, networks, clusters and storage
- Build compositions for repeatable application environments
- Connect AWS, Azure or Google Cloud resources to Kubernetes workflows
- Migrate manual provisioning into versioned GitOps processes
- Add policies, ownership boundaries and operational safeguards
These projects can support software platforms, data services and regulated workloads. The right design keeps self-service simple while preserving control for infrastructure teams.
When companies need specialists
Companies usually bring in freelance expertise when an initial Crossplane experiment must become a reliable shared service. They may need help replacing fragile scripts, standardising cloud accounts or creating a platform API used by several product teams. In Germany, remote collaboration is common, while on-site workshops can help align security, operations and application teams; clear English or German communication may be important.
What good expertise looks like
A strong professional explains trade-offs instead of treating Crossplane as a universal replacement for every infrastructure tool. They test reconciliation behaviour, provider upgrades, deletion policies, drift handling and failure recovery before exposing an API to users. They document compositions, keep credentials out of manifests and understand how Kubernetes operations affect cloud resources. Practical experience with GitOps, cloud networking and identity makes the resulting control plane easier to operate.
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 and declarative configuration. Companies use it to offer self-service databases, networks, clusters and storage while keeping governance and cloud-specific details under central control.
Crossplane continuously reconciles infrastructure through Kubernetes controllers, which makes it a natural fit for GitOps and Kubernetes-based internal platforms. Terraform is often preferred for standalone infrastructure workflows, while Crossplane is useful when teams want infrastructure APIs, claims and compositions inside a Kubernetes operating model.
A Crossplane specialist should understand Kubernetes, cloud networking, identity and access management, GitOps and secrets handling. Experience with Helm, Argo CD or Flux, observability and Terraform can help when integrating existing delivery and infrastructure processes.
A Crossplane expert should be able to model resources, design compositions and troubleshoot reconciliation rather than only apply example manifests. The required depth depends on whether the project is a small provider integration or a shared control plane with security, upgrades, support and recovery requirements.
Crossplane work is well suited to remote collaboration because configuration, compositions and GitOps changes can be reviewed in shared repositories. Teams in Germany should agree on working hours, documentation language, access controls and when on-site sessions are useful for architecture or security workshops.
Crossplane providers connect the control plane to external services such as cloud databases, networks and compute resources. Compositions combine those resources behind a higher-level API, allowing product teams to request a consistent capability without managing every provider-specific field.
Crossplane may be a poor fit when a team has no Kubernetes operating capability or only needs a simple, infrequent infrastructure script. It can also add unnecessary abstraction when direct cloud tooling already meets the requirements and no self-service or continuous reconciliation model is needed.
Ask a Crossplane professional to explain reconciliation, dependency ordering, drift, deletion policies and provider failure handling. Review whether compositions are tested, permissions are narrow, secrets are protected, upgrades are planned and the resulting APIs remain understandable for their users.
The average hourly rate of freelancers in Germany who have used Crossplane in their recent projects is 113 €, which corresponds to a daily rate of about 906 € 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
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Philipp Thomaschewski
FRATCH CEO
