Skip to main content
🇩🇪GDPR-compliant
Find the perfect

Podman Experts in Frankfurt

in minutes from over 15,000 CVs with the power of AI.

Hire experts who package, run, and debug rootless containers, build Podman Compose setups, and integrate Podman into Linux delivery pipelines. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Frankfurt, who have recently used Podman

Verified expert

Tan Pham

View profile

DevOps & Fullstack Engineer

Hanau
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.
Verified expert

Ingo Dettling

View profile

Analytics

Frankfurt am Main
Ingo Dettling

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
Verified expert

Werner Keil

View profile

Test Coordinator, Designer and Engineer

Bad Homburg
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
Verified expert

Oluwasegun Adebayo

View profile

Observability Specialist

Eschborn
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.
Verified expert

Jochen Hinrichsen

View profile

Managing Director

Eschborn
Jochen Hinrichsen

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
Verified expert

Krisztián Korcz

View profile

IT-Soc/Vulnerability

Darmstadt
Krisztián Korcz

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

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, Quality Assurance, Operations

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 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€640 €640-​720 €720-​800 €800-​880 €960+

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.

1000
750
500
250
Rate comparison chart
Daily rate avg. 808 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 780 €

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

Container runtime

Podman is a container engine for building, running, and managing OCI containers without a central daemon. Teams use it for local development, test environments, and secure server workloads. It fits companies that want Docker-compatible workflows with stronger control over user permissions.

Typical work

  • Run and debug rootless containers
  • Create Podman Compose setups for services
  • Build and test container images
  • Migrate scripts from Docker to Podman
  • Tune Linux hosts for container workloads

Ecosystem fit

Podman works closely with Buildah, Skopeo, Quadlet, and systemd. Strong specialists know image registries, storage drivers, and network setup on Linux. They also understand how podman and podman compose fit into existing delivery pipelines and operational scripts.

Where it helps

Companies bring in Podman experts when container work needs to be clean, portable, and secure. That often means platform engineering, CI/CD hardening, internal tooling, or replacing Docker-based setups on Linux servers. In Frankfurt, this comes up in finance, logistics, hosting, and other teams that need reliable service operations.

What good specialists do

Good Podman professionals do more than launch containers. They document commands, automate repeatable setups, and check how services behave across development, test, and production. They also know when to use pods, when to keep containers separate, and how to avoid privilege problems.

Collaboration

Podman work can be remote, but on-site help is useful when a team needs access to internal infrastructure or wants hands-on troubleshooting. In Frankfurt, many companies ask for English-first collaboration, while some projects also involve German-speaking stakeholders. A strong expert adapts to both without slowing delivery.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

Frequently asked questions

Everything clients usually want to know about Podman, in one place.

Podman is used to run and manage containers for development, testing, and production-like service setups. Companies choose it when they want a daemonless container runtime with a strong focus on Linux and rootless execution. It is common in infrastructure, platform work, and internal tooling.

Podman is often compared with Docker because both work with container images and familiar CLI flows. The main difference is that Podman runs without a central daemon and supports rootless containers more naturally. That makes it attractive for teams that want tighter isolation and Linux-native operations.

A strong Podman specialist usually knows Linux administration, shell scripting, systemd, image registries, and networking basics. Buildah and Skopeo are common adjacent tools, and Podman Compose is often part of the stack. For production work, storage and security knowledge matter too.

It depends on the task. Simple container runs or a migration from Docker can be handled by a specialist with practical hands-on experience, while host hardening, CI integration, and rootless production setups need deeper operating-system knowledge. Ask for examples that match your exact setup.

Yes, most Podman tasks can be done remotely because they are configuration, scripting, and troubleshooting work. On-site support only becomes important when the team needs direct access to internal systems, network constraints, or shared infrastructure. Frankfurt teams often use a mixed setup.

Podman is useful around Kubernetes, especially for image handling, local testing, and container workflows on Linux hosts. It is not a direct replacement for Kubernetes, but it supports the same container image standards. That makes it practical in teams that build and validate containerized services before deployment.

Look for clear explanations, working scripts, and a disciplined approach to security and repeatability. A good Podman expert can show how they handled rootless runs, image builds, registry access, and service startup with systemd or Quadlet. They should also understand failure modes, not just happy-path commands.

Podman is the container engine, while Podman Compose helps define and start multi-container setups in a Compose-like way. Teams use it when they want familiar service orchestration for local or test environments without moving to a heavier stack. A specialist should know where Compose fits and where plain Podman is the better tool.

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%), Quality Assurance (75%), and Operations (63%).

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

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH