JFrog Artifactory Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used JFrog Artifactory
Ales L.
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Markus B.
Last position:
Developer / DevOps, Consulting at A state authority in Baden-Württemberg / FSAS Technologies GmbH
Oracle Project Management and Automation
As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.
The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.
- Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
- Development and enhancement of Puppet modules for Oracle environments
- Automation of installation, configuration and operational processes using Infrastructure as Code
- Standardization and optimization of configuration management for Oracle systems
- Creation and maintenance of technical and operational documentation
- Planning, coordination and professional support during project implementation
- Operation and automation of Oracle systems on x86-based Linux server platforms
- Testing and quality assurance of the developed Puppet modules
- Analysis and resolution of technical errors as part of the automation and migration
- Close coordination with specialist departments and infrastructure teams to implement automation requirements
Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass
Ananthraj N.
Last position:
Founder at sprhava
Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.
- Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
- Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
- Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
- Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
- Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
- Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
- Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.
Achievements:
- Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
- WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
- Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
- Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
- Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
- Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
- InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.
Vitaliy R.
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Tezcan D.
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
Harald L.
Last position:
Project Management at Loocid LLC
- Conducted a comprehensive due diligence review for a potential acquisition of a Swiss manufacturing company as part of a pre-merger analysis
- Assessed production capacities and technical infrastructure
- Evaluated integration possibilities into existing business processes
- Performed risk assessment and developed recommendations for action
- Documented the findings and presented them to management
Maziyar K.
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Janusz M.
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using JFrog Artifactory
Aggregated from the professional profiles of matched freelancers.
Experience
26 years (Germany: 22 years)
Position duration
1.4 years (Germany: 1.8 years)
Positions per freelancer
18 (Germany: 16)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Operations, Human Resources
Bachelor's degree or higher
88% (Germany: 91%)
Master's degree or higher
38% (Germany: 55%)
Doctorate
13% (Germany: 10%)
Certifications per freelancer
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 Munich 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 Munich 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 (75%)
- Automotive (63%)
- Healthcare (63%)
- Insurance (50%)
- Manufacturing (50%)
- Government and Administration (50%)
- Telecommunication (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Repository Management
JFrog Artifactory is a universal binary repository manager for storing, versioning and distributing software packages. It supports formats such as Docker images, Maven, npm, NuGet, PyPI, Helm and Terraform, giving teams one controlled place for build artifacts and dependencies. Companies use it to make releases repeatable across development, testing and production.
Delivery Workflows
Artifactory sits inside CI/CD pipelines and connects source changes to reliable artifact delivery. Specialists configure repositories, virtual and remote repositories, build-info metadata, retention rules and promotion paths between environments. They also integrate it with tools such as Jenkins, GitLab CI, GitHub Actions, Azure DevOps and JFrog Pipelines.
Security Controls
Strong repository governance protects software supply chains without slowing delivery. Experts set permissions, projects, access tokens, federated repositories, signing workflows and audit controls. They may also work with JFrog Xray to scan artifacts for vulnerabilities, license risks and policy violations before packages reach production.
Typical Assignments
- Design local, remote and virtual repository structures
- Migrate packages from legacy repositories or cloud registries
- Connect Artifactory with CI/CD and container workflows
- Improve artifact promotion, cleanup and release traceability
- Configure access, replication and supply chain policies
These assignments appear in platform modernization, embedded software, automotive, industrial production, finance and regulated enterprise environments. Munich teams may need on-site workshops for migration or governance, while day-to-day repository work is often handled remotely.
Adjacent Skills
Artifactory work benefits from knowledge of Docker, Kubernetes, Linux, networking and cloud infrastructure. Professionals often use infrastructure-as-code with Terraform, automate administration through REST APIs or JFrog CLI, and troubleshoot permissions and build failures in CI/CD systems. Familiarity with Maven, Gradle, npm, Python packaging or Helm is valuable when repositories serve several product teams.
Choosing Specialists
Look for professionals who can explain repository boundaries, dependency flow and release controls in practical terms. They should show how they have handled migration planning, backup and recovery, cleanup policies, authentication and pipeline integration. Strong specialists measure success through reproducible builds, clear ownership, secure access and predictable artifact promotion rather than configuration alone.
Frequently asked questions
Key details about JFrog Artifactory, drawn from the questions we get asked most.
JFrog Artifactory stores and distributes build artifacts, packages, container images and release dependencies. It gives teams controlled repositories for tools such as Maven, npm, Docker, PyPI, NuGet, Helm and Terraform, while supporting traceable delivery through CI/CD pipelines.
JFrog Artifactory supports many package formats in one repository model, not only container images. Docker Hub and cloud registries can be suitable for focused container distribution, while Artifactory is often preferred when a company needs centralized governance, proxying, promotion and artifact management across several ecosystems.
A strong JFrog Artifactory specialist usually understands CI/CD, Docker, Kubernetes, Linux, networking and cloud infrastructure. Experience with JFrog CLI, REST APIs, Terraform, Jenkins, GitLab CI or GitHub Actions helps connect repository administration with automated delivery.
The required depth depends on the assignment. A repository cleanup may need focused product knowledge, while a migration or enterprise rollout calls for experience with permissions, replication, backup, package formats, pipeline integration and release governance.
JFrog Artifactory administration is often well suited to remote collaboration because configuration, automation and troubleshooting can be performed securely online. On-site workshops in Munich can still help with migration discovery, stakeholder alignment or access to sensitive enterprise environments, and German or English communication may be relevant to the team.
Bring in a JFrog Artifactory professional when repository design, a package migration, CI/CD integration or supply chain controls are blocking delivery. External expertise is also useful when internal teams need a focused review of permissions, cleanup policies, replication or build reproducibility without taking ownership away from the permanent team.
Ask the specialist to explain a repository design in terms of package flow, ownership, access and promotion. Good JFrog Artifactory professionals can discuss failure handling, cleanup, backup, security scanning and operational handover, not just initial installation.
JFrog Artifactory integrates with CI/CD systems, source control workflows, container platforms and infrastructure automation. Common connections include Jenkins, GitLab CI, GitHub Actions, Azure DevOps, Kubernetes, JFrog Xray, JFrog Pipelines and package tools such as Maven, Gradle, npm and Helm.
The average hourly rate of freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects is 102 €, which corresponds to a daily rate of about 816 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects, 88% hold at least a Bachelor's degree, 38% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects are German (100%), English (100%), and French (13%).
The most common industries among freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects are Information Technology (100%), Banking and Finance (75%), and Automotive (63%).
The most common business areas among freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (88%).
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.
Cologne 
Frankfurt 
Stuttgart Request a free demo
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Philipp Thomaschewski
FRATCH CEO
