JFrog Artifactory Experts in Frankfurt
matched in minutes with vetted, available freelancersHire experts who manage binary repositories, secure software supply chains and automate artifact delivery across JFrog Platform environments. FRATCH connects you with precisely matched, vetted and available freelancers without slowing down your release process.
Meet FRATCH Experts in Frankfurt, who have recently used JFrog Artifactory
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
Mouad O.
Last position:
Project Management Consultant at Joynext GmbH
- Planning and controlling qualification tests and the delivery of software components (SWC)
- Consulting and support in stakeholder management
- Checking work packages for compliance with ISO 29119
- Single Point of Contact (SPOC) for the Porsche and Bentley brands
- Regular reporting to the customer and internal management
- Tools / processes: KPM, Azure DevOps, JIRA, Confluence, MS Project, ISO 26262
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
Sven K.
Last position:
Generalist System Administrator at Enbw
- Automation of the (Linux-based) web landscape maintenance.
- Use of SALT, SuseManager, Wildfly, scripting and Kubernetes.
- DevOps tasks and use of Jira.
- Management of "special" applications as well as creating and helping with concepts.
- Focus on security, maintainability, integration and tooling/integration.
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
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
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
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
Igor P.
Last position:
Senior Frontend Developer at Objego GmbH
Within the project, Objego's digital platform for real estate management was further developed.
Further development of various software modules within the application.
Continuous improvement and optimization of existing functionalities to enhance performance and user experience.
Design and implementation of unit tests to ensure code quality and stability.
Close collaboration with the QA team to quickly fix bugs.
Implementation of new features in coordination with stakeholders and end users.
Active member of the Scrum team with a focus on agile methods and continuous improvement of the software.
Technologies: Angular 16/17, Material, Angular CDK, Angular Elements, Nx, NgRx, NgNeat, NgX-Translate, NgX-Charts, NgX-Lottie, NgX-Markdown, Sentry, Azure AI Form Recognizer, Lodash, Dayjs, Flatpickr, Lottie-Web, Mixpanel, RxJS, Prettier, ESLint, Webpack, Cypress, Playwright, Jest, Husky, TypeScript, Node.js, Zone.js, Docker, Spring Boot, Git, Figma, Figma Token, Storybook, Jira, Confluence, Atlassian, Gitlab CI/CD, Codecov, Custom Design System, Mockoon.
Discover over 15,000 top freelancers
Statistics of experts using JFrog Artifactory
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 22 years)
Position duration
2.2 years (Germany: 1.8 years)
Positions per freelancer
19 (Germany: 16)
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
80% (Germany: 91%)
Master's degree or higher
50% (Germany: 55%)
Doctorate
10%
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Frankfurt using JFrog Artifactory
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
JFrog Artifactory 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%)
- Banking and Finance (92%)
- Transportation (67%)
- Insurance (50%)
- Telecommunication (50%)
- Automotive (42%)
- Healthcare (42%)
- Retail (42%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Repository foundation
JFrog Artifactory is a universal binary repository manager for storing, versioning and distributing software packages. It supports formats such as Maven, npm, NuGet, Docker, PyPI and Helm, giving teams one controlled place for build outputs and dependencies. Artifactory is commonly used as part of the broader JFrog Platform.
Delivery workflows
Artifactory connects source control, build automation and deployment workflows. It can provide immutable release candidates, remote caches for public dependencies and virtual repositories that present several sources through one endpoint. Strong implementations also define promotion rules, retention policies and traceability from source commit to deployed artifact.
Ecosystem and tooling
Professionals work across the repository, security and automation layers around Artifactory:
- Configure local, remote and virtual repositories for package ecosystems
- Integrate Jenkins, GitLab CI/CD, GitHub Actions or other build systems
- Manage Docker images, Helm charts and container delivery paths
- Apply JFrog Xray policies for vulnerability and license analysis
- Automate access, cleanup and promotion through REST APIs or JFrog CLI
When expertise matters
Companies often bring in freelance Artifactory specialists during a migration from shared file storage, a repository consolidation or a move toward controlled software supply chains. Expertise is also valuable when builds are slow, dependencies are unreliable, permissions are unclear or teams need repeatable promotion between environments. In Frankfurt, local specialists can support on-site workshops while remote collaboration covers configuration and rollout work.
What strong specialists deliver
A capable professional begins with package flows, ownership and release controls rather than creating repositories without a plan. They design clear naming conventions, permission targets, cleanup rules and backup strategies, then document how teams publish and consume artifacts. They also understand the operational impact of storage growth, cache behavior, network access and high availability.
Selecting the right professional
Look for hands-on work with the package formats your teams use and with the CI/CD tools already in place. Ask how the specialist would handle repository layout, access tokens, build reproducibility, Xray findings and recovery testing. Strong professionals explain trade-offs clearly, can work with English-speaking teams and adapt their approach to regulated or distributed environments.
Frequently asked questions
Not sure where to start with JFrog Artifactory? These answers cover the essentials.
JFrog Artifactory stores and distributes software packages, container images, libraries and other build artifacts. It gives teams controlled repositories for dependencies and release outputs, with access management, caching, traceability and promotion between environments.
Artifactory supports a broad range of package formats and offers a unified repository model across local, remote and virtual sources. The right choice depends on existing tooling, governance needs, security workflows and whether a company prefers a close fit with GitHub, GitLab or Sonatype ecosystems.
A strong JFrog Artifactory specialist should understand CI/CD pipelines, Docker, Kubernetes, identity and access management, network design and storage operations. Experience with JFrog Xray, JFrog CLI, REST APIs and infrastructure automation is also useful for repeatable administration.
A small repository setup may suit a professional familiar with the relevant package formats and build tools. Complex migrations, multi-team permissions, high availability, disaster recovery or supply-chain controls call for a specialist who has operated Artifactory in comparable environments and can validate the design in practice.
Artifactory is well suited to remote collaboration because repository configuration, permissions and pipeline integrations can be reviewed through documented changes and controlled access. Frankfurt-based teams may still prefer on-site workshops for architecture, migration planning or stakeholder alignment, followed by remote implementation.
JFrog Platform can combine Artifactory with JFrog Xray to inspect dependencies and artifacts for vulnerabilities, license concerns and policy violations. Security improves when teams also restrict publishing, use trusted sources, protect credentials and promote only validated artifacts.
A capable Artifactory professional should provide an inventory of packages and consumers, a repository design, migration procedures and rollback options. The engagement should also cover permissions, build updates, retention rules, validation tests and documentation for the teams operating the service afterward.
Ask the Artifactory specialist to explain a repository layout, dependency strategy and promotion flow for your package ecosystems. Good answers address security, backup and recovery, storage growth, CI/CD behavior and operational ownership rather than focusing only on initial configuration.
The average hourly rate of freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects is 95 €, which corresponds to a daily rate of about 758 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects, 80% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects are Information Technology (100%), Banking and Finance (92%), and Transportation (67%).
The most common business areas among freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects are Product Development (100%), Information Technology (92%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used JFrog Artifactory
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.
Munich 
Cologne 
Stuttgart Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
