JFrog Artifactory Experts in Frankfurt
matched in minutes from over 15,000 CVs with the power of AI.Work with experts who run artifact repositories, set up secure package flows, and connect Artifactory with CI/CD pipelines, Docker, Maven, npm, and Helm. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used JFrog Artifactory
Ornel Franck Wora Yeno
Last position:
Purchasing Manager, Logistics & IT Manager at Onlinehandler
Proactive support of management in business field development & innovation management
New development of a suite of business applications for analyzing valuation, P&L, and market price risk data
Automation of all internal and external business and work processes
Development of AI-based and AI-supported ETL processes as well as data analysis
Business use-case development
Business and work process optimization
Enterprise architecture management
Sales data analysis and forecasting as well as capture
Inventory management & reordering
Supplier management and communication
Customs processing & clearance
Shipping handling & warehouse coordination
Interface management
Technologies used: Microsoft Office 365, Microsoft Teams, JTL-Wawi, JTL-WMS, OTTO Partner Connect (OPC), Amazon Seller Central, DHL Global Forwarding, Jira, Draw.IO, Java (8,17,21,25), Jenkins, SonarQube, Git, Gitea, Spring Boot, Spring Batch, Vaadin, H2, PostgreSQL, Docker, Local LLMs, Postman, JasperSoft Studio, JasperReports
Uday Vanaparthy
Last position:
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.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- 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.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
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.
Mouad Oulad M’hand
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 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
Sven Koebnick
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 Gross
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
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
Karsten Gerigk
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 Ibragimov
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 Propisnov
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 years (Germany: 1.9 years)
Positions per freelancer
19 (Germany: 15)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Product Development, Operations
Bachelor's degree or higher
78% (Germany: 90%)
Master's degree or higher
44% (Germany: 52%)
Doctorate
11% (Germany: 10%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 30 Aug 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Artifact control
JFrog Artifactory is a repository manager for software packages, build outputs, and release assets. Companies use it to store, version, promote, and trace binaries across the delivery chain. Strong specialists make sure teams know what was built, where it lives, and how it moves.
Package ecosystems
Artifactory supports the package formats that modern teams ship every day.
- Maven and Gradle artifacts
- npm and Yarn packages
- Docker images and OCI content
- Helm charts and other release bundles
- Generic files, archives, and internal binaries
Delivery pipelines
A good JFrog Artifactory specialist connects repositories to Jenkins, GitLab CI, GitHub Actions, or other delivery tools. They set up build promotion, access rules, metadata, and cleanup policies so releases stay traceable and safe. This matters in regulated environments and in large product teams in Frankfurt that need tight release control.
When to bring help
Companies bring in freelance expertise when builds slow down, repository layouts become messy, or teams need to migrate from a legacy setup. It also helps when Artifactory must be standardized across multiple squads, cloud environments, or mixed Java, JavaScript, and container workloads. Remote work is common, but Frankfurt-based on-site coordination can help during migrations and access reviews.
What strong specialists do
Strong professionals do more than create repos. They design naming rules, retention policies, permissions, replication, and disaster recovery with the rest of the delivery chain in mind. They also document how developers, release managers, and security teams should publish and consume artifacts without friction.
Quality signs
Look for clear work on repository structure, promotion flows, and access control in JFrog Artifactory, not just basic setup.
- Clean separation of local, remote, and virtual repositories
- Reliable migration from Nexus or older Artifactory setups
- Artifact signing, checksum handling, and traceability
- Practical knowledge of JFrog CLI, REST APIs, and integrations
- Security-aware handling of secrets, tokens, and permissions
Frequently asked questions
Not sure where to start with JFrog Artifactory? These answers cover the essentials.
JFrog Artifactory is used to manage software artifacts such as libraries, container images, and release bundles. It gives teams one place to store, promote, and control package flow across build and deployment stages. That makes it central to repeatable releases and supply-chain traceability.
Artifactory is JFrog’s repository manager, while JFrog is the vendor name and broader product family. In day-to-day hiring, people often use JFrog Artifactory and Artifactory to mean the same thing. A specialist should understand both the product itself and how it fits into the wider JFrog ecosystem.
JFrog Artifactory and Nexus Repository solve a similar problem: managing internal package and binary repositories. Artifactory is often chosen when teams want broader ecosystem support, richer promotion flows, and tighter metadata control. The right choice depends on the package types, governance needs, and existing delivery stack.
A strong JFrog Artifactory expert usually knows CI/CD tools, Docker, Kubernetes, and common package managers such as Maven, npm, and Helm. Security knowledge matters too, especially around permissions, tokens, and artifact traceability. If your setup includes cloud or Git-based delivery, that experience helps as well.
For a simple repository setup, a focused Artifactory specialist may be enough. For migration, multi-team governance, or enterprise release flow design, you want someone who has handled build promotion, replication, and access control before. The more package formats and environments involved, the more important proven experience becomes.
Most JFrog Artifactory work can be done remotely because the main tasks are configuration, pipeline integration, and documentation. On-site time in Frankfurt can be useful for migration workshops, access reviews, or cross-team release planning. Many companies use a mix of remote delivery and short in-person sessions.
Check whether the Artifactory specialist can explain repository design, cleanup rules, promotion paths, and recovery steps in plain language. Good signs include practical migration work, secure permission handling, and clear documentation for developers and operations teams. If they only know the UI but cannot design a release flow, keep looking.
Teams usually ask for JFrog Artifactory help when builds become hard to trace, artifact storage becomes inconsistent, or package access gets messy across teams. Migrations from Nexus, older Artifactory setups, or manual file shares are also common triggers. Another sign is when release work slows down because repository rules are unclear.
The average hourly rate of freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects is 92 €, which corresponds to a daily rate of about 738 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects, 78% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 11% 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 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 (27%).
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 (82%), and Transportation (64%).
The most common business areas among freelancers in Frankfurt, Germany who have used JFrog Artifactory in their recent projects are Information Technology (91%), Product Development (91%), and Quality Assurance (82%).
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
