GitLab Experts in Dresden
to improve delivery pipelines with vetted, available freelancers matched in minutesHire experts who manage GitLab repositories, design GitLab CI/CD pipelines and strengthen DevSecOps workflows for software teams. Get precise matching with vetted, available freelancers who can contribute remotely or on site in Dresden.
Meet FRATCH Experts in Dresden, who have recently used GitLab
Khaled M.
Last position:
Principal Cloud Solutions Architect II at Schrödinger GmbH
- Understand the customer’s business & technical requirements and translate them into system / technical requirements
- Design and implement Schrodinger’s applications on cloud systems, and experience convincing senior management and senior technical staff of the benefits of their journey with Schrodinger on the cloud
- Provide exceptional technical design and thought leadership, especially around AWS, GCP, and K8s architecture reviews, performance, high availability, cost, and security
- Deep understanding of the Well-Architected pillars and all best practices for building a secure, performant Schrodinger’s applications on the cloud platforms
- Lead technical workshops and advise customers on architectural and strategic IT decisions
- Ensure success in designing, building and migrating applications, software, and services on the cloud platforms
- Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud
- Work with other team members to ensure quality and customer success
- Define the tickets, tasks, and timelines of projects
- Collaborate with account managers to ensure that the projects are executed according to the defined plan and timeline
- Monitor the progress of the projects, identify risks and issues, and take proactive measures to mitigate them
- Lead and inspire cloud architect teams, provide guidance, and make critical decisions
- Facilitate effective communication and collaboration among team members
- Collaborate with Schrodinger’s managers to improve deployment, support, and configuration of Schrodinger’s applications
- Lead weekly standups and define priorities
Nikhil G.
Last position:
Co-founder / Solution Architect at Lima Care GmbH
- Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
- Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
- Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
- Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
- Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
- Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
- Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Michael K.
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Michael M.
Last position:
Deutsche Bahn
- Implemented accessibility audit recommendations for the ICE onboard portal to improve usability for screen reader and keyboard users
- Migrated end-to-end tests from Cypress to Playwright
- Refactored components to meet accessibility standards
- Introduced Prettier for consistent code formatting
Reinhard D.
Last position:
Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education
- Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
- Operating system: Windows
- Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
- Programming languages: Python 3.10
- Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Artur R.
Last position:
Senior DevOps Engineer at Infineon Technologies AG
- Java and Groovy development
- Administration of Docker Compose (incl. installation, configuration and maintenance)
- Linux systems like Debian
- Git, Jenkins, Artifactory, Sonarqube, SVN
- Administration of Atlassian products like Bitbucket, Jira, Crucible, Fisheye
- Monitoring tools like Elasticsearch, Prometheus
- Practical experience with DevOps tools like Puppet, Maven
- Scripting in Python, Perl, Shell and Powershell
- Helm chart script development
- End to end new framework development in Python, Groovy including Jenkins and Gitlab CI/CD pipelines
- Gitlab runner CI/CD development
- Openshift Kubernetes administration and development
Katharina S.
Last position:
Virtual staining at Faculty of Electrical and Computer Engineering, TU Dresden
- Technical and professional management of software and ML development; largely independent programming and guidance of the team and external project partners
- Design, creation, and preparation of training and test datasets from experimental image data and simulations
- Selection, implementation, training, validation, and testing of neural networks for image-based reconstruction and transformation
- Systematic evaluation, comparison, and optimization of various model architectures (convolutional neural networks, generative adversarial networks, autoencoders, transformers)
- Design and implementation of explainable AI analyses to assess model interpretability and robustness (feature map analysis, augmentation studies, guided backpropagation)
- Presentation of the developed methods and results at project meetings and international conferences
Discover over 15,000 top freelancers
Statistics of experts using GitLab
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 18 years)
Position duration
1.9 years (Germany: 5.1 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Energy, Banking and Finance
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
50% (Germany: 53%)
Doctorate
33% (Germany: 9%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
English, German, Russian
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 Dresden 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 Dresden using GitLab
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.
GitLab 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%)
- Energy (71%)
- Banking and Finance (57%)
- Telecommunication (57%)
- Aerospace and Defense (43%)
- Chemical (43%)
- Transportation (43%)
- Retail (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitLab covers
GitLab is a web-based platform for source control, software delivery and collaboration. It combines Git repositories with merge requests, issue tracking, release management, security checks and operational workflows. Teams use GitLab as a central workspace from planning through production.
Where it is used
GitLab supports product teams building web services, business applications, embedded software and internal tools. It also fits regulated environments that need traceable changes and controlled releases. Common delivery scenarios include:
- Managing Git repositories and protected branches
- Reviewing code through merge requests
- Automating tests, builds and deployments
- Coordinating releases across multiple environments
CI/CD and tooling
GitLab CI/CD uses pipeline configuration, runners, artifacts, environments and deployment controls to automate delivery. Strong specialists also work with Docker, Kubernetes, Helm, Terraform and cloud services. They connect GitLab with identity systems, registries, monitoring tools and ticket workflows without creating fragile handoffs.
When companies need expertise
Companies bring in freelance GitLab specialists when pipelines are slow, unreliable or difficult to govern. Expertise is also valuable during repository migrations, DevOps transformations, security reviews and platform consolidations. In Dresden, teams across manufacturing, mobility, research and software can use remote collaboration or on-site support depending on access and workshop needs.
- Migrating from GitHub, Bitbucket or legacy GitLab installations
- Standardising pipelines across repositories and teams
- Introducing security scanning and release controls
- Operating self-managed GitLab with dependable upgrades
Skills that matter
A capable professional understands Git workflows, YAML pipeline design, runner administration and deployment strategies. They can troubleshoot permissions, caching, artifacts and failed jobs while keeping developer workflows practical. Experience with Linux, networking, containers, cloud infrastructure and scripting often makes the difference between a working pipeline and a maintainable delivery system.
Choosing the right specialist
Look for evidence of complete GitLab delivery work, not only repository administration. Ask how the professional handles branching standards, secrets, runner isolation, rollback paths and pipeline observability. For Dresden projects, clarify German and English communication, required on-site presence and access constraints before work begins. A strong specialist explains trade-offs clearly and leaves behind documented, reusable automation.
Frequently asked questions
Need clarity? These are the questions we hear most often about GitLab.
GitLab is used to manage source code, plan work, review changes and automate software delivery in one environment. Its Git repositories, merge requests and CI/CD pipelines help teams move from a committed change to a tested release with a clear audit trail.
GitLab combines repository hosting, CI/CD, security and planning features in a single product, while GitHub and Bitbucket may be chosen for their wider integrations, existing team habits or parent-cloud ecosystems. The right choice depends on governance, hosting preferences, pipeline needs and the tools already used by the company.
GitLab work often requires Git branching, Linux, YAML, Docker and cloud infrastructure knowledge. Kubernetes, Terraform, Helm, scripting, identity management and security scanning are also useful when pipelines deploy beyond a simple test environment.
GitLab expertise is especially useful for migrations, self-managed installations, complex CI/CD pipelines and security-sensitive delivery processes. A project can need senior guidance when many repositories share standards, releases must be traceable or failed deployments carry operational risk.
GitLab is well suited to remote collaboration because repositories, issues, reviews and pipeline results are available online. On-site work in Dresden can still help with architecture workshops, access setup, team training or systems that cannot be exposed outside the company network.
GitLab experience should be assessed through concrete examples of pipelines, migrations, runner setups and release controls. Ask for the reasoning behind design choices, how secrets and permissions were handled, and what documentation was delivered for the internal team.
GitLab CI/CD can build images, run tests and deploy applications to Kubernetes through runners, Helm or other deployment methods. A qualified specialist should also address namespaces, secrets, environment promotion, rollback procedures and the separation of build and deployment permissions.
GitLab.com is the hosted service, while self-managed GitLab runs in an organisation's own infrastructure or chosen cloud environment. Hosted use reduces operational work; self-management offers more control over networking, identity, data handling and upgrades, but requires reliable administration.
The average hourly rate of freelancers in Dresden, Germany who have used GitLab in their recent projects is 90 €, which corresponds to a daily rate of about 717 € based on an 8-hour working day.
Of the freelancers in Dresden, Germany who have used GitLab in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Dresden, Germany who have used GitLab in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Dresden, Germany who have used GitLab in their recent projects are English (100%), German (86%), and Russian (29%).
The most common industries among freelancers in Dresden, Germany who have used GitLab in their recent projects are Information Technology (100%), Energy (71%), and Banking and Finance (57%).
The most common business areas among freelancers in Dresden, Germany who have used GitLab in their recent projects are Information Technology (100%), Product Development (86%), and Project Management (86%).
Main locations of FRATCH Experts, who have recently used GitLab
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.
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Philipp Thomaschewski
FRATCH CEO
