JFrog Artifactory Experts in Munich
matched in minutes with vetted specialistsHire experts who manage binary repositories, secure artifact promotion, and build reliable CI/CD flows around JFrog Artifactory, Artifactory OSS, and the broader JFrog toolchain. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used JFrog Artifactory
Tezcan Dilshener
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
Ananthraj Narasappa
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 Ryumshyn
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.
Harald Laschitz
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
Ales Loncar
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.
Maziyar Khorrami
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 Mazurek
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: 1.9 years)
Positions per freelancer
14 (Germany: 15)
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
86% (Germany: 90%)
Master's degree or higher
43% (Germany: 52%)
Doctorate
14% (Germany: 10%)
Certifications per freelancer
3
Most common languages
German, English, Hindi
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 Munich 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does
JFrog Artifactory is a binary repository manager for storing, versioning, and distributing build artifacts. Teams use it to control Maven, npm, Docker, PyPI, NuGet, and other package formats in one place. It keeps releases traceable from build to deployment.
Where it fits
- Central artifact storage for CI/CD pipelines
- Promotion of builds across environments
- Proxying external repositories and package feeds
- Access control for teams and service accounts
- Retention rules for old or unused binaries
Skills around it
Strong specialists know repository layout, dependency resolution, metadata, permissions, and promotion flows. They also understand how Artifactory works with Jenkins, GitLab CI, GitHub Actions, Kubernetes, and cloud registries. Good work keeps pipelines repeatable and release artifacts easy to audit.
When companies bring in help
Companies usually look for freelance support when repository setups become messy, releases slow down, or packaging rules differ across teams. Migration from Nexus Repository or a legacy file share is another common case. In Munich, this often comes up in enterprise software, manufacturing, mobility, and regulated environments where traceability matters.
What strong work looks like
A strong JFrog Artifactory specialist sets clear naming rules, versioning logic, and lifecycle policies. They automate repository creation, permissions, and cleanup instead of handling them by hand. They also document how teams publish, consume, and promote artifacts so the setup stays stable after handover.
Ecosystem and delivery
Artifactory is rarely used alone. It often sits with Xray for security checks, JFrog Pipelines for build orchestration, and container tooling for Docker and Helm charts. Specialists deliver repository architecture, migration plans, pipeline integration, and support for release engineering teams.
Frequently asked questions
Key details about JFrog Artifactory, drawn from the questions we get asked most.
JFrog Artifactory is used to store, version, and distribute build outputs such as libraries, packages, container images, and deployment bundles. It gives teams a controlled place to publish and consume artifacts across the software delivery flow. That makes releases easier to repeat and audit.
Artifactory is JFrog’s repository manager, not the whole JFrog product line. People often say JFrog when they mean the company or the full ecosystem, but the product itself is Artifactory. In searches, both names matter because many teams use them interchangeably in conversation.
JFrog Artifactory and Nexus Repository solve a similar problem: managing binary artifacts and package feeds. Artifactory is often chosen when teams want broader workflow integration, richer promotion patterns, or tight alignment with the JFrog stack. Nexus is also common, so a freelancer should understand both when migration is on the table.
A strong Artifactory specialist usually knows CI/CD, access control, repository formats, and release engineering. Useful adjacent skills include Docker, Kubernetes, Jenkins, GitLab CI, GitHub Actions, and security scanning with Xray. Packaging knowledge matters too, especially for Maven, npm, and Helm.
A small setup may only need someone who understands repository basics and pipeline integration. More complex projects need deeper experience with permissions, replication, promotion rules, and migration planning. JFrog Artifactory becomes harder when many teams publish into shared repositories or when release paths differ by environment.
Yes. Most JFrog Artifactory work can be done remotely because it centers on repository design, pipeline changes, and configuration review. On-site time in Munich helps when the setup touches sensitive release processes, shared infrastructure, or workshops with local platform teams.
Look for clear repository design, clean naming conventions, sensible permission models, and repeatable automation. A strong Artifactory freelancer explains tradeoffs, documents the setup, and avoids manual steps that break under load. Good signs are migration plans, rollback thinking, and practical knowledge of the formats your teams actually use.
People often search for Artifactory, JFrog Artifactory, or sometimes just JFrog when they mean the repository manager. If your project involves older documentation, you may also see references to Bintray in the surrounding JFrog history. A good specialist should recognize these terms and know what still matters in current setups.
The average hourly rate of freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects is 108 €, which corresponds to a daily rate of about 861 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used JFrog Artifactory in their recent projects, 86% hold at least a Bachelor's degree, 43% hold at least a Master's degree, and 14% 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 Hindi (14%).
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 (71%), and Automotive (57%).
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 (86%).
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
