Podman Experts
in minutes with vetted freelancers and precise AI matchingHire experts who build rootless container workflows, Podman Compose setups, and secure image pipelines with Podman, libpod, and Podman Desktop. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts who have recently used Podman
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Yasin Yildiz
Last position:
Enterprise Architect at Bundesagentur für Arbeit
Task:
- Design and build a proof of concept (PoC) for a future-proof virtualization platform, taking secure system architectures into account
- Assess the current state of existing infrastructures and develop selection and evaluation criteria for the right OS virtualization platform
- Carry out the requirements analysis and then create and prioritize tickets in the ticket system
- Complete and continuously update a tool evaluation matrix based on PoC results
- Support team knowledge building through clear documentation of the approach and results in Confluence
- Enterprise analysis of existing hardware (creating different BoMs)
Technologies: Vmware, Vmware Aria Operations, Osism, Canonical OpenStack, FishOs, Linux, Terraform, Ansible, Confluence, Alma
Thorsten Matzner
Last position:
Odoo Implementer at N.N.
As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.
Main Responsibilities
Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)
Key Achievements
Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)
Impact
Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration
This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.
Pierre Gronau
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third-level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
Uday Vanaparthy
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
Tarek El Idrisi
Last position:
Associate GRC at Egerer Consulting
Carve-out project: Development of certification strategy, implementation and requirement plans across multiple standards — ISO/IEC 27001, ISO 9001, ISO 14001, ISO 22301, ISO/IEC 20000-1, BSI IT-Grundschutz, and BSI TR-RESISCAN
- Cross-standard inventory and risk assessment
- Coordination with cross-department stakeholders: ISB, executive management, certification bodies, legal and data protection
- Consulting in information security, GRC, and IT auditing
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.
Rainer Langbehn
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
As-is analysis
Evaluation of Redgate Flyway functionality
Concept creation
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Skills: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Frank Bergmann
Last position:
System Engineer at Frequentis Comsoft
- Migrate company software to RHEL10
- Development in Bash, Python, C, Ansible
Florian Wede
Last position:
Software Engineer at micimo GmbH
- Developing a professional scheduler for organizations with specific detailed requirements
- Evaluating different existing software solutions
- Creating a list of technical requirements
- Implementing these requirements
- Selected technologies: WebDAV, CalDAV, Rust, Baikal, OAuth, Keycloak
Can Kocyigit
Last position:
DevOps Specialist at Eviden Germany GmbH
Manage the development release and update process for a digitized nationwide trade register project "AuRegis".
Support software in Kubernetes/OpenShift environments, configure management with Kustomize, and implement CI/CD pipelines using Jenkins/GitLab, SonarQube, ArgoCD, and Azure.
Oversee system release of microservice architecture.
Build the CI/CD stack from scratch with GitLab CI, integrating integration tests, dependency checks, and security measures.
Automate deployment onto OpenShift using Kustomize.
Set up infrastructure components for development, code review, and code quality analysis including SonarQube.
Integrate GitOps tools such as Kustomize and ArgoCD, using both Azure and private cloud for sensitive data handling.
Develop Python scripts in Jenkins for cryptostore configuration and system packaging of products and microservices into deployable units.
Automate delivery to customers and deployment on test systems.
Create Kustomize manifests for microservices and develop the related automation, treating documentation as code for clarity and reproducibility.
Serve as technical advisor for the project's first go-live and oversee further deployments as technical rollout manager.
Toralf Chryselius
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
- Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software
Patrick Waldschmitt
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Tobias Baumann
Last position:
Freelance IT Consultant at Freelance IT Consultant
Infrastructure, automation, IT security
- Operation and modernization of business-critical Linux infrastructure for a public-sector client: RHEL migrations, Ansible automation, container rollout (since October 2025)
- Project lead for server upgrade from RHEL 7/8 to RHEL 9 in the financial sector: project management, stakeholder communication (May 2024 – Feb. 2025)
- Project support for IT security requirements in the financial sector: gap analyses, solution design with business units (March – May 2025)
- Setup of an IdM solution (FreeIPA/RHEL IdM) for a utility company (AT), including consulting and training (Apr. – Nov. 2023)
- IT infrastructure consulting for a research team: Proxmox, SSO architecture, data sovereignty, and local AI (since Feb. 2026)
Nils Klawitter
Last position:
Vulnerability management and secure SDLC at DB InfraGO AG
- Successful implementation of vulnerability management with DefectDojo
- Consulting and implementation of technical and process-related aspects of vulnerability management with DefectDojo
- Consulting on the implementation of a secure software development lifecycle
- Skills: Gitlab, DefectDojo, Vulnerability Management, SCA, SAST, DAST, Python, Kubernetes, ArgoCD, Docker, AWS, Azure, Whitesource/Mend, Greenbone
Discover over 15,000 top freelancers
Statistics of experts using Podman
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.9 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
89%
Master's degree or higher
47%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
96%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Rootless containers
Podman is used to run containers without a central daemon. That makes it a strong fit for development, testing, CI, and production setups where teams want tighter isolation and fewer privileged services. It also supports pod-based grouping, which helps when multiple containers need to share a network namespace.
What teams build
- Image builds and local container workflows
- Pod-based application stacks
- Secure CI jobs and build agents
- Migration paths away from Docker-based setups
Teams use Podman for Linux server work, developer laptops, and automation scripts that must behave consistently across environments. It is common in cloud-native and platform engineering work where container behavior must stay predictable.
Ecosystem and tools
Podman often appears with Buildah, Skopeo, and Podman Compose. Strong specialists know how these tools fit together for building, tagging, inspecting, and moving images. They also understand how Podman Desktop helps teams manage local workflows without losing focus on the command line.
When to bring in help
Companies bring in freelance Podman experts when they need a clean migration from Docker, better rootless security, or help troubleshooting storage, networking, or systemd integration. They are also useful when container runs work on one machine but fail in CI or on a server.
What strong specialists do
Good Podman professionals write clear container files, reduce privilege needs, and keep runtime behavior repeatable. They know how to debug SELinux issues, volume mounts, port mapping, and image compatibility across environments. They also document workflows so the team can maintain them after handover.
Signs you need Podman expertise
- Docker workflows need a secure alternative
- Rootless containers are required
- CI jobs fail after image or network changes
- Pod or Compose setup is unstable
- Teams need better Linux container hygiene
Podman is often chosen by teams that care about security, portability, and control over container execution. A strong specialist can turn a brittle setup into a workflow that is easier to run, audit, and support.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Podman.
Podman is used to run and build containers without relying on a long-lived daemon. Companies use it for local development, CI jobs, application pods, and server-side container runtime workflows where rootless operation matters. It is a practical choice when teams want a Docker-like experience with a different security model.
Podman is often weighed against Docker because both handle containers, images, and local workflows. The biggest difference is that Podman is daemonless and supports rootless use more naturally, while Docker is built around its daemon and wider ecosystem tooling. The best choice depends on how your team wants to manage privileges, integration, and day-to-day operations.
A strong Podman specialist usually knows Linux internals, systemd, shell scripting, image building, and container networking. Knowledge of Buildah, Skopeo, SELinux, and CI/CD pipelines is also valuable. Those skills help with builds, runtime troubleshooting, and safe handoff to the team.
For a simple Podman task, such as converting a run command or fixing a container file, a focused specialist can be enough. For migration, production hardening, or network and storage issues, you want someone who has worked across the full workflow. The more the task touches security or automation, the more experience matters.
Yes, Podman can support Compose-style workflows through Podman Compose and related tooling. That is useful when teams want to keep a familiar service definition pattern while moving away from Docker-based commands. A specialist should check feature compatibility early, because not every Compose pattern behaves the same way.
Ask which Linux distributions, image registries, and CI systems they have worked with in Podman projects. Also ask how they handle rootless containers, systemd integration, and image builds. Good answers are concrete and tied to real debugging, not just container theory.
For most Podman work, remote collaboration is enough because container setup, review, and debugging can be done from logs, configs, and shared environments. On-site help is only needed when the work depends on local infrastructure, restricted networks, or sensitive server access. Clear access to the target system matters more than location.
Good Podman delivery is stable, documented, and easy to repeat. Look for clear container files, predictable startup behavior, sensible security choices, and troubleshooting notes that explain why the setup works. A strong specialist leaves behind workflows the team can run without guesswork.
The average hourly rate of freelancers who have used Podman in their recent projects is 101 €, which corresponds to a daily rate of about 804 € based on an 8-hour working day.
Of the freelancers who have used Podman in their recent projects, 89% hold at least a Bachelor's degree, 47% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers who have used Podman in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers who have used Podman in their recent projects are German (100%), English (96%), and Spanish (10%).
The most common industries among freelancers who have used Podman in their recent projects are Information Technology (98%), Banking and Finance (55%), and Government and Administration (51%).
The most common business areas among freelancers who have used Podman in their recent projects are Information Technology (100%), Product Development (82%), and Project Management (71%).
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Frankfurt Request a free demo
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
