GitLab CI/CD Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who design GitLab CI/CD pipelines, automate testing and releases, and connect GitLab with Docker, Kubernetes and cloud environments. FRATCH finds precise matches with vetted, available freelancers fast.
Meet FRATCH Experts in Frankfurt, who have recently used GitLab CI/CD
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self hosted solutions
- Development of reusable agentic workflows and mini applications that enable non technical employees to solve business problems independently
- Implementation of internal business applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Implementation of nine mini applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Techstack: Python, Nextjs, Typescript, Streamlit, Anthropic SDK (Claude), Azure, Linux Ubuntu, PostgreSQL, MS SQL, Angular, Authentik
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Michael H.
Last position:
Frontend Developer at RTL Tech
- Development and optimization of the RTL+ frontend application for SmartTV and set-top box platforms with React and Next.js.
- Key role in the technical coordination of developers within the team and in coordinating implementation.
- Central interface to adjacent teams to simplify development processes and improve cross-team alignment.
- Improved frontend performance, stability, and rendering behavior on low-powered devices in a restricted runtime environment.
- Implemented a frontend testing strategy with Jest, React Testing Library, and Playwright.
- Implemented accessibility improvements according to WCAG 2.2 and WAI-ARIA.
- Integrated Didomi Consent Management as a contribution to increasing ad monetization on streaming platforms.
- Used AI-supported engineering workflows with Cursor for structured implementation, refactoring, and faster problem solving.
Technologies used: React, Next.js, TypeScript, JavaScript, GraphQL, Apollo Gateway, Zustand, Tailwind CSS, Styled Components, React Testing Library, Playwright, Jest, HTML5, CSS3, AWS Lambda, EC2, CloudFront, S3, GitLab CI/CD, NX, Cursor
Noel L.
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Florian F.
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Valentin O.
Last position:
Network Architect at IT Service Provider - Public Sector
- Designed a network management strategy focused on NetDevOps principles and model-driven telemetry using YANG data models
- Conducted NETCONF/YANG workshops for L2VPN/L3VPN services over SRv6
- Automated configuration deployment in the testing environment with Ansible
- Developed end-to-end service measurement concepts with IPSLA and the Telegraf-Prometheus-Grafana stack
- Created the dual-stack architecture design (router + switch + firewall) including a detailed test plan; planned, executed, and documented acceptance tests for the management network
- Performed BSI IT baseline protection checks according to the IT-Grundschutz catalog (needs assessment, modeling, risk analysis, deriving measures)
- Protocols: SRv6, IPv6, MPLS, BGP, ISIS, OSPF, NETCONF/YANG, model-driven telemetry, IPSLA
- Systems: Cisco Crosswork Network Controller, SolarWinds Orion, Grafana, InfluxDB, Telegraf, Ansible, Git
- Components: Cisco NCS router series, Cisco Catalyst switch series, Cisco Firepower firewall series
Umer D.
Last position:
Activation and Vocational Integration Program with Integrated Language Support at Berlitz
- Intensive language course with a focus on professional language content.
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.
Jochen H.
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
Anusha L.
Last position:
Test Automation Consultant at EON Energy
- Design, develop, and maintain automated tests using Playwright with Python scripts, Typescript and Spring Boot
- Create test classes annotated with Spring Boot Test
- Create test scripts to cover functional, regression, and integration testing
- Ensure test automation coverage for web applications
- Collaborate with developers to identify testable requirements
- Troubleshoot automation test failures and resolve issues
- Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
- Monitor and report test automation metrics
- Implement test data management and mocking strategies
- Ensure test reliability, stability, and maintainability
- Experience with containerization (Docker) and orchestration (Kubernetes)
Puya D.
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Karsten G.
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
Adil S.
Last position:
Mobile/Backend Developer at Freelance
- Built a cross-platform mobile application using React Native that interacts with IoT devices via RESTful APIs
- Implemented state management with Redux and integrated IoT-specific components for smooth data visualization and device control
- Developed RESTful APIs using Node.js and Express, utilizing MongoDB for scalable data storage
- Facilitated secure communication between the mobile app and IoT devices, enabling device onboarding, status monitoring, and control commands
- Implemented real-time data synchronization and optimized data flow to minimize latency
Discover over 15,000 top freelancers
Statistics of experts using GitLab CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)
Position duration
2.2 years (Germany: 2.7 years)
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
42% (Germany: 55%)
Doctorate
5% (Germany: 7%)
Certifications per freelancer
3
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 99%)
Based on our profile pool as of 19 Sep 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 GitLab CI/CD
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
GitLab CI/CD 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 (90%)
- Banking and Finance (62%)
- Education (38%)
- Transportation (38%)
- Government and Administration (38%)
- Retail (33%)
- Healthcare (29%)
- Telecommunication (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Pipelines
GitLab CI/CD automates the path from source code to tested, deployable software. Teams define pipeline stages in a .gitlab-ci.yml file, then use runners to execute builds, quality checks, security scans and releases. It supports applications, services, infrastructure and internal tooling.
Ecosystem
Strong professionals work across GitLab repositories, merge requests, runners, artifacts and environments. They connect GitLab CI/CD with Docker, Kubernetes, Helm, Terraform, cloud services and monitoring tools. They also manage secrets, protected branches, caching and reusable pipeline templates.
Delivery tasks
- Design pipelines for parallel builds, testing and deployment
- Configure runners for shared or dedicated execution
- Add container images, artifacts and release controls
- Automate deployments across development, staging and production
- Integrate security, compliance and infrastructure checks
When to hire
Companies bring in freelance expertise when pipelines are slow, fragile or difficult to maintain. Specialists help during a migration from Jenkins or another CI system, a move to Kubernetes, or a push toward trunk-based delivery. In Frankfurt, remote collaboration is common, while regulated or complex environments may require planned on-site work.
Quality signals
A capable professional treats CI/CD as a product rather than a collection of scripts. They make failures easy to diagnose, keep credentials out of logs, control deployment permissions and document ownership. Look for practical decisions around runner isolation, rollback paths, pipeline cost and feedback speed.
Project fit
The right specialist understands both delivery automation and the software being delivered. Relevant knowledge may include Git workflows, Linux, Bash, YAML, containers, Kubernetes, cloud networking, software testing and observability. Clear communication in English, and German where local teams need it, supports effective work with Frankfurt-based stakeholders.
Frequently asked questions
What clients ask us most about GitLab CI/CD — answered in short.
GitLab CI/CD is used to automate software builds, tests, security checks and deployments from a GitLab repository. A professional can create pipelines for applications, containerized services, infrastructure and scheduled operational tasks.
GitLab CI is built into the GitLab workflow, so source control, merge requests, pipeline results and deployment controls can sit in one environment. Jenkins offers a broad plugin ecosystem and flexible standalone operation, but usually requires more separate configuration and maintenance.
A strong GitLab CI/CD professional often works with Docker, Kubernetes, Helm, Terraform, Linux, Bash and cloud services. Knowledge of testing, security scanning, observability and Git branching practices is also valuable because pipeline design affects the whole delivery process.
The required experience depends on pipeline complexity, deployment risk and the existing toolchain. A straightforward build and test workflow may need focused configuration, while multi-environment releases, Kubernetes deployments and compliance controls call for a specialist who has handled similar systems in production.
GitLab CI/CD supports remote collaboration through visible pipeline results, merge requests, logs and deployment histories. Frankfurt-based companies can work with remote professionals effectively when access, documentation, communication language and release responsibilities are agreed clearly; on-site sessions can be added for sensitive or complex environments.
GitLab CI/CD can be a strong choice when a company wants repository management, pipelines, security features and deployment controls closely integrated in GitLab. GitHub Actions may fit teams centered on GitHub and its marketplace, so the decision should reflect the current source-control ecosystem, governance needs and existing skills.
Ask a GitLab CI/CD professional to explain pipeline structure, failure handling, secret management, runner security and rollback design. Review documentation and sample configurations, then discuss how they would improve feedback speed without weakening test coverage or deployment controls.
GitLab CI/CD can automate many repeatable release steps, but not every approval or operational decision should be automatic. A qualified professional can introduce protected environments, manual approval gates and staged rollouts where risk, compliance or business coordination requires human control.
The average hourly rate of freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects is 94 €, which corresponds to a daily rate of about 748 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects, 100% hold at least a Bachelor's degree, 42% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are German (100%), English (95%), and Persian (10%).
The most common industries among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are Information Technology (90%), Banking and Finance (62%), and Education (38%).
The most common business areas among freelancers in Frankfurt, Germany who have used GitLab CI/CD in their recent projects are Information Technology (100%), Product Development (86%), and Quality Assurance (76%).
Main locations of FRATCH Experts, who have recently used GitLab CI/CD
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 
Stuttgart 
Dusseldorf 
Leipzig 
Hanover Request a free demo
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Philipp Thomaschewski
FRATCH CEO
