GitFlow Experts in Germany
with precise AI matching and vetted freelancers available in minutesHire experts who structure release branches, protect production workflows and connect GitFlow with CI/CD pipelines, code reviews and release automation. Get fast, precise matching with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Germany, who have recently used GitFlow
Murad K.
Last position:
Senior AI/ML Engineer at Quantistry GmbH
- Led end-to-end delivery of ML/AI applications for the QuantistryLab simulation platform, from requirements definition and solution design to development, testing, deployment, and production support, coordinating efforts across back-end, DevOps, and ML teams
- Designed and implemented a compound search system with an open-weights LLM, the Pydantic AI agent framework, and the Model Context Protocol (MCP), exposing it through FastAPI endpoints
- Deployed and configured vLLM-based LLM serving on Kubernetes
- Built CI/CD pipelines and Helm charts to automate deployments across staging and production environments
- Instrumented the search system with OpenTelemetry spans and traces, integrating with the Honeycomb observability platform to monitor component-level latency and functional errors
- Developed a custom evaluation dataset and implemented evaluations for retrieval relevance, answer correctness, tool-call accuracy, and end-to-end task success
- Reduced infrared spectrum prediction time by 83% (from 60 to 10 minutes) by replacing a quantum-mechanical model with a pretrained graph neural network; fine-tuned the model using PyTorch, built and containerized the inference pipeline with Docker, and integrated it into the platform
- Implemented an MLflow model registry with MinIO-backed artifact storage
- Advised sales and science teams on ML/AI applications for prospective client projects, providing technical expertise to shape proposed solutions and prototypes
Technologies: AWS, Hetzner, Kubernetes, Helm, Docker, vLLM, Pydantic AI, MCP, Qwen, Llama 3, MLflow, MinIO, GitHub Actions, Python, FastAPI, OpenTelemetry, Honeycomb, PyTorch, Polars, pytest
Thorsten M.
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.
Andreas D.
Last position:
Interim Chief Technology & Product Officer at Babbel GmbH
- Restructuring for product-led growth in the field of digital user-centric tech product development language learning experiences
- Scaling empowered tech product teams
- Anti-fragile software engineering
Patrik G.
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Manuel R.
Last position:
Cloud Architect & Lead Developer
- Responsible for the 5-head development team and Scrum + DevOps approach
- Designed and implemented the cloud architecture for the application landscape
- Lead development for the user management on Azure Cloud using .NET 8/C#
- Development for the user management frontend using React (TypeScript)
- Technologies: Azure AD, Functions, Storage, CosmosDB, Service Bus, AKS, Monitor, Pipelines, Key Vault, MSSQL, Bicep, App Service, Log Analytics, Application Insights, Cost Management
- Backend: .NET/C#; Frontend: Angular (TypeScript)
- Unit testing: NUnit, xUnit, Moq
- CI & CD: Azure DevOps, GitHub Actions, GitLab CI
- DevOps & IaC: Bicep, Terraform, Docker, Kubernetes
- Security & Compliance: ISO 27001, DevSecOps
- Software development approach: Scrum, SAFe, Kanban
Paul A.
Last position:
Senior Software Developer at JaMoin GmbH
- Co-led the modernization of business-critical financial software, migrating from Basic legacy to .NET/WPF, making architecture decisions, reducing the codebase by ~40-50% and improving performance by ~30-40%.
- Developed greenfield features (file handling, debtor management), optimized database access and UI rendering, increasing system stability and transaction success rate.
- Responsible for end-to-end development including architecture design, code reviews, sprint planning, and acting as the technical point of contact for stakeholders.
- Tech: C#, .NET, WPF/XAML (MVVM), MSSQL, Clean Architecture, Visual Studio 2021, Azure DevOps
Selvaraj K.
Last position:
Senior Full Stack & Cloud Architect at HCLTech
- Led end-to-end implementation of the Miles and More Credit Card Service integrating with TSYS systems on Microsoft Azure
- Architected secure, scalable APIs and microservices using Spring Boot, Camunda, and Apache Kafka (Confluent Platform) for real-time event streaming and process automation on Azure Kubernetes Service
- Managed full development lifecycle of the credit card system on Azure Cloud including fraud detection, payment processing, account management, and Kafka-based event-driven data pipelines
- Designed and implemented Kafka Connect integrations and Schema Registry for seamless data flow between microservices and legacy systems
- Introduced Agile best practices, improving team efficiency by 30% and reducing project delivery time
- Directed and mentored a team of 15+ developers fostering a collaborative, cloud-first, and innovation-driven culture
- Managed client relationships achieving 95% satisfaction and securing follow-up projects through consistent delivery excellence
- Designed and deployed BPMN/DMN models in Camunda for complex business workflows and automation
- Configured Camunda Engine with advanced features such as error handling, RPA integration, and multi-version deployments
- Integrated Camunda and Kafka-based messaging with core banking systems ensuring high availability and data consistency
- Managed multi-database schema configurations on Azure and optimized system performance for high throughput and fault tolerance
- Designed and implemented cloud architecture patterns on Azure focusing on multi-region resilience, data sovereignty, and event-driven scalability for critical financial workloads
Eugene K.
Last position:
Lead PHP Web Developer at Deutscher Fachverlag GmbH
- PHP application development for the following news portal CMS:
- lebensmittelzeitung.net
- textilwirtschaft.de
- horizont.net
- iz.de
- fvw.de
- ahgz.de
- horizont.at
- agrarzeitung.de
- food-service.de
- fashionmagazine.it
Tino T.
Last position:
Director Technology at Forte Digital Germany
- Leading 20+ staff in development, site reliability engineering, and architecture.
- Leading the group-wide agentic AI initiative (Norway, Poland, Germany).
- Hands-on solution architect and AI consultant for over 50% of my working time on client projects in the publishing sector – from local publishers to international corporations.
- Strategic consulting and technical implementation of AI workflow platforms (n8n, Workato).
- Developing prototypes for traditional, AI-based, and agentic AI workflows.
Cihan B.
Last position:
Senior iOS developer at Dewango GmbH
Developed an app for automatic safety checkins with heavily relying on AI-Tools:
Real-time Safety Monitoring - Continuous activity tracking using device motion sensors with automatic status verification through Firebase-based safety pings Emergency Contact System - Share code-based contact invitation system allowing trusted users to monitor real-time status with battery levels and last activity Background Processing - Robust Android foreground services and WorkManager integration ensuring 24/7 monitoring without interruption Smart Notifications - Firebase Cloud Messaging for instant alerts to emergency contacts Sleep Scheduling - Configurable quiet hours to prevent unnecessary alerts Premium Tier - In-app purchase system with unlimited contacts
Michael R.
Last position:
Freelancer at Freelancer
Alberto G.
Last position:
C#/.Net Developer at Pean-IT GmbH
- Developed high-performance REST API interfaces in C# for Investitionsbank Berlin (IBB) using CI/CD (Git, Azure DevOps).
- Developed the "Pean Admin Center" using the Microsoft Graph API (backend: C#, frontend: Vuetify), implemented via CI/CD pipelines (Azure DevOps).
- Created low-code business applications and automated processes with Power Apps and Power Automate.
- Set up and designed the online shop for Pestalozzi-Fröbel-Haus (PFH) via Wix.
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.
Martin Z.
Last position:
Consulting, Design and Development at ivv GmbH
- Design, development and maintenance of a web application as a policy management system based on a JEE backend and a Vaadin-based UI
- Design and development of interfaces
- Integration of databases
- Design and development of unit and integration tests
- Conceptual coordination with the client
- Technologies and methods: JEE, Vaadin, EJB, Innovator, Hibernate, REST, JMS, SQL, MQ, Maven, Selenium, Arquillian, Mockito, JUnit, Log4j, OOA, OOD, Scrum, Kanban, JavaScript, HTML, CSS, Jenkins, Jenkins Pipelines, Git, GitLab, Subversion, Jira, Confluence, DB2, WebLogic
Nils M.
Last position:
Database Architecture for PostgreSQL at ComputaCenter / Deutsche
- Planning and documentation of database architecture and integration with other components provided by other teams and vendors
- Extensive documentation for the architecture, security, access control, encryption, roles and user management, backup and restore, disaster recovery and general operations
- Deployment of database clusters over 2 locations with 2 availability zones each
- Automation of deployment and operations including backup using Ansible
- Hardening of the database and operating system
- Migration of existing stand-alone database systems to cluster setup
- Technologies: PostgreSQL, Patroni, etcd, barman, RedHat Enterprise Linux 9 (RHEL), Ansible, Ansible Automation Platform, TLS, Hashicorp Vault, LUKS
Discover over 15,000 top freelancers
Statistics of experts using GitFlow
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.3 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
70%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, Russian
Speak two or more languages
100%
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 Germany 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 Germany using GitFlow
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.
GitFlow 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%)
- Professional Services (52%)
- Banking and Finance (48%)
- Retail (48%)
- Telecommunication (35%)
- Education (30%)
- Media and Entertainment (30%)
- Automotive (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitFlow controls
GitFlow is a branching model for Git repositories. It separates ongoing feature work from release preparation and production fixes through defined branches such as main, develop, feature, release and hotfix. This structure gives teams clear points for integration, testing and deployment.
Where it fits
GitFlow suits products with planned releases, several parallel features or formal approval steps. It is common in enterprise software, embedded systems, regulated environments and large application portfolios where a release branch needs its own testing window. Teams can adapt the model rather than follow it mechanically.
Branching and tooling
Strong specialists work fluently with Git, pull requests and repository permissions. They connect GitFlow with GitHub, GitLab, Bitbucket or Azure Repos, then automate checks through GitHub Actions, GitLab CI/CD, Jenkins or Azure Pipelines. Tagging, semantic versioning, merge strategies and changelog generation complete the workflow.
Typical delivery work
- Define branch naming, ownership and merge rules
- Set up release and hotfix processes for multiple environments
- Add automated tests, quality gates and deployment triggers
- Resolve complex merges and protect critical branches
- Document the workflow for distributed teams
In Germany, these tasks often support industrial software, financial systems, healthcare products and B2B applications with coordinated release planning.
When companies need support
Freelance expertise helps when a repository has conflicting branch rules, delayed releases or repeated merge problems. It is also useful during a migration from a simpler trunk-based workflow, a new CI/CD setup or the integration of several teams. Remote collaboration works well when repository access, review ownership and release responsibilities are clearly defined; on-site workshops can help align larger teams.
What good looks like
Experienced professionals treat GitFlow as a delivery system, not just a set of branch names. They explain when long-lived branches create risk, choose merge or rebase policies deliberately and keep rollback paths visible. They measure quality through reliable automation, understandable history, repeatable releases and fewer integration surprises. Clear documentation and calm incident handling matter as much as Git commands.
Frequently asked questions
Curious about GitFlow? Here are the answers that come up again and again.
GitFlow is a Git branching model that organizes feature work, release preparation and production fixes. It gives teams separate paths for development and controlled releases, which can help when several versions or approval stages must be managed.
GitFlow uses longer-lived branches and explicit release stages, while trunk-based development keeps integration close to one main branch. GitFlow can suit scheduled releases and formal testing, whereas trunk-based workflows often reduce merge distance and favour frequent delivery.
A strong GitFlow specialist should understand Git internals, pull requests, branching policies and merge conflict resolution. CI/CD, automated testing, release management, semantic versioning and repository security are also valuable adjacent skills.
The right GitFlow experience depends on repository complexity, release cadence and the number of teams involved. A small workflow adjustment may need focused guidance, while a multi-team migration calls for a professional who can redesign policies, automation and documentation together.
GitFlow works well for remote teams when branch ownership, review rules and release responsibilities are documented. For German organisations, English is common in technical repositories, while German-language workshops or documentation may be useful for broader stakeholder groups.
GitFlow can be implemented with GitHub, GitLab, Bitbucket or Azure Repos. Specialists often connect these repositories to GitHub Actions, GitLab CI/CD, Jenkins or Azure Pipelines for automated validation and deployment.
A GitFlow model may add unnecessary coordination to products that deploy continuously and can keep unfinished work behind feature flags. Teams with short feedback cycles may benefit more from trunk-based development or a lightweight Git branching policy.
Ask a GitFlow professional to explain the branch purpose, merge policy, release path and rollback approach in concrete terms. Review whether the workflow is automated, documented and easy to follow, and look for evidence of fewer integration failures rather than branch complexity for its own sake.
The average hourly rate of freelancers in Germany who have used GitFlow in their recent projects is 100 €, which corresponds to a daily rate of about 798 € based on an 8-hour working day.
Of the freelancers in Germany who have used GitFlow in their recent projects, 100% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Germany who have used GitFlow in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used GitFlow in their recent projects are German (100%), English (100%), and Russian (26%).
The most common industries among freelancers in Germany who have used GitFlow in their recent projects are Information Technology (100%), Professional Services (52%), and Banking and Finance (48%).
The most common business areas among freelancers in Germany who have used GitFlow in their recent projects are Information Technology (100%), Product Development (91%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used GitFlow
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 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
