Podman Experts in Frankfurt
, matched in minutes from over 15,000 CVsHire experts who create rootless container workflows, integrate Podman with Kubernetes and automate image delivery through CI/CD. FRATCH matches you quickly with vetted, available freelancers whose skills fit your technical goals.
Meet FRATCH Experts in Frankfurt, who have recently used Podman
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
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
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.
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.
Jochen H.
Last position:
DevSecOps Expert at DB InfraGO
- Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
- Build pipelines for Go, Java and JavaScript
- Provisioning of 100+ components
- Quality assurance via GitLab Code Quality and SonarQube
- Checks for dependencies, licensing and vulnerabilities
- Release creation via Jira and ServiceNow
- SBOM, Supply Chain Security, distroless images
- PoC GitLab Runner: Nomad vs. Kubernetes
- Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman
Krisztián K.
Last position:
IT-Soc/Vulnerability at ITZBund
- Vulnerability management (Greenbone, Tenable SC, Rapid7)
- Automation of vulnerability scans
- OpenTofu (Terraform)/Ansible/Vault/Podman/Docker
- Compliance audit
- SOC (ElasticSearch, Graylog)
- Python/Rust/Bash/Shell/PowerShell
- Git collaboration
- Report standardization and automation
- POC for several vulnerability scanning systems
- Setup of vulnerability scanning system
Rashid I.
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 Podman
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
2 years
Positions per freelancer
22
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Banking and Finance, Information Technology, Telecommunication
Certification focus areas
Information Technology, Legal, Operations
Bachelor's degree or higher
88%
Master's degree or higher
50%
Doctorate
13%
Certifications per freelancer
7
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 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 Podman
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.
Podman experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Telecommunication (75%)
- Automotive (63%)
- Transportation (63%)
- Government and Administration (63%)
- Healthcare (38%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Podman does
Podman is an open-source container engine for building, running and managing OCI containers and images. It offers a Docker-compatible command-line experience without requiring a central daemon. Its daemonless and rootless design helps teams isolate workloads and reduce the impact of container runtime access.
Core capabilities
Podman specialists deliver container workflows for local development, testing and production operations. They define repeatable image processes, manage registries and connect containers across development and deployment environments.
- Create and run rootless containers
- Build, tag and publish OCI images
- Configure pods, networks, volumes and secrets
- Migrate Docker workflows to Podman
Ecosystem and tooling
Podman works with Buildah for image creation and Skopeo for copying images between registries. It can integrate with Kubernetes manifests, Podman Compose workflows, systemd services and container registries such as Quay. Strong specialists also understand Linux permissions, SELinux, networking and storage.
Where companies use it
Companies use Podman for secure application packaging, developer environments, edge workloads and server-side container operations. It fits teams that want Docker-compatible tooling while avoiding a long-running daemon, and it can support internal platforms across finance, manufacturing and other industries in Frankfurt.
- Standardize container development across teams
- Run services on Linux hosts with systemd
- Secure build and release pipelines
- Prepare workloads for Kubernetes adoption
When to bring in expertise
Freelance expertise is useful when a team is replacing Docker, hardening container access or moving workloads from local machines into managed environments. Specialists can investigate image failures, rootless permission issues, registry access and networking problems without disrupting delivery. Remote collaboration is often effective, while Frankfurt teams may also need on-site workshops for platform changes.
What strong specialists bring
A strong Podman professional treats containers as part of a wider operating model, not as isolated commands. They document image provenance, runtime configuration, secrets and rollback paths. Look for practical knowledge of OCI standards, Linux administration, Kubernetes, CI/CD and security controls, plus the ability to explain trade-offs clearly to application and operations teams.
Frequently asked questions
Everything clients usually want to know about Podman, in one place.
Podman is used to build, run and manage OCI containers without a central daemon. Companies use it for rootless development environments, secure server workloads, image pipelines and container platforms that may later connect to Kubernetes.
Podman provides a Docker-compatible command-line experience, but its daemonless architecture changes how containers are started and managed. Rootless operation is a major distinction, while Docker may be preferred where existing tooling depends on its daemon and Compose ecosystem.
Podman manages containers and pods on individual hosts, so it is not a full replacement for Kubernetes orchestration. It can work alongside Kubernetes by supporting compatible images and manifests, while Kubernetes handles scheduling, scaling and cluster coordination.
A strong Podman specialist usually understands Linux, OCI images, Buildah, Skopeo, registries, networking and storage. Kubernetes, systemd, SELinux and CI/CD experience are also valuable when containers must run reliably beyond a local workstation.
The right Podman experience depends on the scope and risk of the work, not on a fixed number of years. A simple image workflow may need focused container knowledge, while a production migration calls for proven skills in Linux security, registries, automation and operational troubleshooting.
Podman work is often suitable for remote collaboration because configuration, images and automation can be reviewed through shared repositories and controlled environments. Frankfurt companies may still benefit from on-site sessions for access design, platform workshops or coordination with local operations teams.
Ask a Podman specialist to explain rootless containers, image provenance, networking, storage and failure recovery in the context of your systems. Review practical examples, documentation habits and security decisions rather than accepting a tool list without evidence.
A Podman migration plan should inventory images, commands, registries, volumes, networks and pipeline assumptions before changing runtime behavior. It should then test rootless permissions, systemd or orchestration integration, observability and rollback procedures in a controlled environment.
The average hourly rate of freelancers in Frankfurt, Germany who have used Podman in their recent projects is 101 €, which corresponds to a daily rate of about 808 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Podman in their recent projects, 88% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Podman in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Podman in their recent projects are German (100%), English (100%), and French (13%).
The most common industries among freelancers in Frankfurt, Germany who have used Podman in their recent projects are Banking and Finance (100%), Information Technology (100%), and Telecommunication (75%).
The most common business areas among freelancers in Frankfurt, Germany who have used Podman in their recent projects are Information Technology (100%), Product Development (75%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Podman
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.
Countries:
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
