
OpenShift Experts in Frankfurt
to modernize containers with vetted and available freelancers matched in minutesHire experts who operate OpenShift clusters, automate delivery with Kubernetes and CI/CD, and connect container platforms to secure enterprise systems. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Frankfurt, who have recently used OpenShift
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Kurt R.
Last position:
Lead Solution Architect (AI HealthTech) / interim CTO & Product Co-Owner at Physio-Agil Frankfurt
- General CTO responsibilities (architectural design, operational setup, external runtime product evaluation, investor buy-in, regulatory compliance).
- Software development oversight (implementation on deep-dive-in) plus workflow design.
- Product co-ownership.
- Tech/tools/frameworks: proprietary software (Java, JavaScript), Kubernetes, Postgres, MiniIO, Ollama (internal), several xAI API (external), OpenTofu (Terraform), Keycloak, Kafka, Prometheus, ELK Stack, GitHub, GitHub Workflows, Argo CD, ISO 27001, BSI-ISM, EU AI Act.
Alona L.
Last position:
AI Architect
AI-powered platform for automated UX validation and designer support
- Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
- Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
- Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
- Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy
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.
Jörn B.
Last position:
Project Management and PMO at TANKKARTEN | PAYMENT
- Close collaboration with development teams to ensure alignment with project goals
- Assessment of in-scope assets, requirements definition and support of the public tender process up to vendor selection
- Creation and maintenance of UML sequence diagrams to document system interactions
- Intensive use of Agile/Scrum methodology and the Spotify model
- Development and implementation of cutover and rehearsal plans together with the application managers
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
Neha K.
Last position:
Team Lead | Senior Java Developer at Capgemini
- Tech Stack: Java 17, Spring Boot, Microservices, REST, GraphQL, Spring AI, Jenkins, Docker, Git/Bitbucket, JUnit, Splunk
- Led a team of 6 to deliver policy, claims, and onboarding modules serving 50k+ users, maintaining 99.9% uptime
- Cut release cycle time by 35–40% by automating CI/CD with Jenkins and Docker
- Implemented trunk-based branching in Git/Bitbucket
- Integrated 10+ REST APIs and streamlined customer workflows, boosting process automation by 40%
- Increased system stability with proactive Splunk alerting and runbooks, reducing outages by ~25%
- Driven quality with JUnit tests (92% coverage) and code reviews; enforced standards with static checks such as SonarQube
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.
Mahesh S.
Last position:
Azure Solution Architect at Automotive industry
Implementation of complex Azure resources using Terraform IaC and Azure DevSecOps pipelines with network security and zero-trust governance policies
Optimization of the existing network design, firewall and database migration
Implementation of governance and network policies as Policy as Code (PaC)
Establishment of company-wide Azure connectivity using Azure VPN as an IPSec tunnel
Implementation of hybrid on-premises multi-cloud connectivity (GCP, Azure) using Terraform
Development of Azure Functions for scheduled cron jobs and Service Bus message queuing with topics
Optimization of messaging with Service Bus premium features and IP whitelisting
Stakeholder management, customer communication and creation of Architectural Decision Records (ADR)
Responsible for cost-efficient quick wins in Azure and on-premises systems
Karsten G.
Last position:
Software Development at Siemens Mobility GmbH
- Maintenance and further development of several existing projects in the "AI-powered transportation" sector, based on React, REST-like APIs (Spring, Python) and various design libraries
- Responsible in the project for build processes, JavaScript development, architecture, coordination and communication with the design team
- Agile software development (Scrum, Kanban)
- Technologies: React, TypeScript, Ant Design, Node.js, Yarn, Vite, i18n, Postgres, Keycloak, Jest, Cypress, Storybook
- Tools: IntelliJ, Git, GitLab CI, Docker, Confluence, Jira
Discover over 15,000 top freelancers
Statistics of experts using OpenShift
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)

Position duration
1.9 years (Germany: 1.8 years)

Positions per freelancer
17 (Germany: 14)

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Banking and Finance, Transportation

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94% (Germany: 89%)
Master's degree or higher
56% (Germany: 49%)
Doctorate
6%

Certifications per freelancer
5 (Germany: 4)

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 96%)
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 Frankfurt 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 Frankfurt using OpenShift
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.
OpenShift 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 (95%)
- Banking and Finance (90%)
- Transportation (70%)
- Automotive (50%)
- Healthcare (40%)
- Government and Administration (40%)
- Telecommunication (40%)
- Insurance (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Container platform
OpenShift is Red Hat’s enterprise container platform, built on Kubernetes. It provides a managed foundation for running cloud-native applications with stronger defaults for security, developer self-service, deployment automation and operational control. Teams use it across private, public and hybrid cloud environments.
What it builds
OpenShift supports resilient application platforms rather than isolated containers. Typical delivery work includes:
- Deploying microservices and APIs with containers
- Creating internal developer platforms and self-service environments
- Running regulated workloads across hybrid infrastructure
- Modernizing legacy applications through gradual container adoption
Ecosystem and tooling
Strong OpenShift specialists work across Kubernetes objects, Operators, Routes, Projects, ImageStreams and persistent storage. They also use Red Hat Enterprise Linux, OpenShift Container Platform, OpenShift Dedicated or Red Hat OpenShift Service on AWS where the operating model requires it. GitOps, Helm, Argo CD, Tekton and enterprise identity services often complete the toolchain.
When expertise matters
Companies bring in freelance OpenShift expertise when a cluster needs a reliable foundation, an existing platform is difficult to operate or a migration must avoid service disruption. In Frankfurt, specialists may support financial, industrial, logistics and public-sector environments, with remote delivery combined with on-site collaboration when the organization requires it.
Delivery responsibilities
An OpenShift professional can design cluster layouts, configure networking and storage, define access policies, establish observability and automate application releases. They may also integrate registries, secrets management, vulnerability scanning, backup systems and disaster recovery procedures. Clear runbooks and repeatable infrastructure matter as much as the initial configuration.
Signs of quality
Look for professionals who explain trade-offs between OpenShift and other Kubernetes distributions instead of treating the platform as a black box. Strong specialists can show how they have handled upgrades, failed nodes, resource limits and security controls. They communicate clearly with application teams and operations groups, document decisions and test recovery paths before production use.
Frequently asked questions
Not sure where to start with OpenShift? These answers cover the essentials.
OpenShift is used to build and operate containerized applications on an enterprise Kubernetes platform. It combines cluster management with developer workflows, security controls, networking, storage and deployment automation for hybrid or cloud environments.
Red Hat OpenShift adds an integrated, opinionated operating model around Kubernetes. It includes supported developer tools, security defaults, a web console, Operators and enterprise lifecycle options, while a standard Kubernetes installation usually requires teams to select and maintain more components themselves.
A strong OpenShift specialist should understand Kubernetes, Linux, container images, networking, storage and identity management. Experience with GitOps, CI/CD, Terraform or Ansible, observability and cloud services is also useful when the platform supports several teams or environments.
The right level depends on the scope and risk of the work. OpenShift Container Platform migrations, production cluster design and upgrade planning require a specialist who has operated comparable environments, while application onboarding or pipeline work may need narrower platform expertise.
OpenShift work is often suitable for remote collaboration because configuration, automation and troubleshooting can be performed through secured access and shared repositories. Frankfurt-based companies may still prefer on-site sessions for architecture workshops, regulated environments or coordination with infrastructure and security teams.
Ask how the professional approaches cluster security, upgrades, monitoring, backup and incident response. A capable OCP specialist should explain design decisions in plain language, provide useful documentation and demonstrate how changes are tested before they reach production.
OpenShift can support gradual modernization by packaging selected services, standardizing deployment and adding delivery automation around existing systems. It does not remove application dependencies automatically, so the specialist should first assess architecture, state management, network access and operational constraints.
Red Hat OpenShift changes through platform releases, Operator updates and evolving Kubernetes capabilities. Freelancers should maintain hands-on lab practice, follow Red Hat documentation, understand supported upgrade paths and stay familiar with security, GitOps and platform engineering patterns.
The average hourly rate of freelancers in Frankfurt, Germany who have used OpenShift in their recent projects is 108 €, which corresponds to a daily rate of about 863 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used OpenShift in their recent projects, 94% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used OpenShift in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Frankfurt, Germany who have used OpenShift in their recent projects are German (100%), English (100%), and Spanish (20%).
The most common industries among freelancers in Frankfurt, Germany who have used OpenShift in their recent projects are Information Technology (95%), Banking and Finance (90%), and Transportation (70%).
The most common business areas among freelancers in Frankfurt, Germany who have used OpenShift in their recent projects are Information Technology (100%), Product Development (95%), and Operations (65%).
Main locations of FRATCH Experts, who have recently used OpenShift
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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