GitLab CI/CD Experts in Stuttgart
matched in minutes from over 15,000 CVsHire experts who automate build, test and deployment workflows, manage GitLab pipelines and connect delivery processes with Kubernetes, Docker and cloud services. Get a precise match with a vetted, available freelancer quickly.
Meet FRATCH Experts in Stuttgart, who have recently used GitLab CI/CD
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Alexander Z.
Last position:
Fullstack Developer and DevOps Engineer at Freelancer
- Developing the infrastructure and improving existing infrastructure: Jenkins, Gitlab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
- Documenting solutions in Jira/Confluence
- Supporting other colleagues in different technical areas
Gildas D.
Last position:
System Team Lead Diagnostics – Hybrid & Electric Drives (HEV/MHEV/PHEV) for Transmission and Engine (NA/SA) at Stellantis e-transmission
- Technical lead of diagnostics activities for eDCT transmissions and drive systems in the area of hybrid (HEV), mild-hybrid (MHEV), and plug-in hybrid vehicles (PHEV)
- Responsibility for the development and validation of DTC strategies (OBD / EOBD) for markets in North and South America and the EU
- Coordination between interdisciplinary teams (system development, software, safety, calibration, after-sales)
- Creation and maintenance of diagnostic specifications (DID, DTC matrix, snapshot, freeze frame) according to STLA standards
- Support with troubleshooting, validation tests, EOL processes, and internal audits
- Technical interface to suppliers (Bosch, Valeo, etc.) in the area of actuators, sensors, and electric pumps
- Creation of diagnostic RFQ
Robin S.
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Will O.
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
Achille C.
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Marcel S.
Last position:
Technical Lead / Lead Developer at REWE digital
- Due to an organizational restructuring towards product-based teams, the implementation of a Data Mesh in the area of Digital Supplier Management (DSM) was decided.
- A highly available real-time Data Mesh for providing large volumes of data via Kafka and REST to other products.
- New development of a core supplier management software in a (micro-)service-based architecture with a modern tech stack.
- Technologies/Tools:
- Java 21
- Spring Boot
- Angular
- TypeScript
- Go
- MapR
- Kafka
- Docker
- Google Cloud Platform (GCP)
- Kubernetes
- Helm
- GitLab CI
- Maven
- JUnit
- Mockito
- WireMock
- Cypress
- Keycloak
- OAuth 2.0 & OpenID Connect
- Humio
- Nexus
- Artifactory
- SonarQube
- Renovate
- Git
- Postman
- IntelliJ
Discover over 15,000 top freelancers
Statistics of experts using GitLab CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
1.5 years (Germany: 2.7 years)
Positions per freelancer
16 (Germany: 12)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Automotive, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
63% (Germany: 55%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Spanish
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 Stuttgart 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 Stuttgart 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.
- Automotive (88%)
- Banking and Finance (75%)
- Information Technology (75%)
- Transportation (63%)
- Government and Administration (63%)
- Retail (50%)
- Telecommunication (50%)
- Aerospace and Defense (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitLab CI/CD Does
GitLab CI/CD automates the path from a code change to a tested and deployable release. Teams define jobs, stages and rules in a .gitlab-ci.yml file, while GitLab runners execute those jobs in controlled environments. It supports continuous integration, delivery and deployment in one connected workflow.
Pipelines and Delivery
GitLab pipelines can compile applications, run unit and integration tests, scan dependencies, create packages and deploy services. Experts configure merge request pipelines, parent-child pipelines, manual approvals, scheduled jobs and environment promotion. They also make failures visible through logs, artifacts, reports and deployment history.
- Build and test applications on every change
- Deploy safely across development, staging and production
- Manage protected branches, variables and environments
- Add rollback, approval and release controls
Ecosystem and Tooling
Strong GitLab CI/CD work connects the pipeline to Docker images, Kubernetes clusters, Helm charts and cloud infrastructure. Common integrations include Terraform, container registries, security scanners, package repositories and monitoring tools. Runners may use Docker, Kubernetes, shell or custom execution environments, depending on isolation and scaling needs.
When Companies Need Specialists
Companies often bring in freelance expertise when pipelines have become slow, fragile or difficult to maintain. Stuttgart teams in automotive, manufacturing, software and technology can use specialists to standardize delivery across repositories without disrupting active releases. They can also support a migration from Jenkins, GitHub Actions or scattered scripts to GitLab CI/CD.
- Replace duplicated pipeline configuration with reusable templates
- Improve runner capacity, caching and dependency handling
- Introduce security and compliance checks earlier in delivery
- Connect releases to Kubernetes or cloud environments
Skills That Matter
A capable professional understands YAML, Git workflows, Linux, scripting and software testing as well as GitLab itself. They can design jobs that are repeatable, secure and easy for product teams to understand. Practical knowledge of secrets management, artifact retention, permissions, containers and infrastructure automation is equally important.
How Quality Shows
Good pipelines are readable, observable and resilient when a job fails. Experienced GitLab CI/CD specialists explain trade-offs, document runner and variable settings, and test changes without exposing credentials or destabilizing production. For remote or on-site work in Stuttgart, clear communication in English or German helps teams coordinate releases, reviews and incident response.
Frequently asked questions
Need clarity? These are the questions we hear most often about GitLab CI/CD.
GitLab CI/CD is used to automate software build, test and deployment workflows. A pipeline can validate merge requests, publish packages, create container images and release applications to virtual machines, Kubernetes or cloud environments.
GitLab CI/CD combines source control, merge requests, pipeline configuration, registries and deployment features in one GitLab environment. Jenkins offers a highly extensible automation server, while GitHub Actions is closely integrated with GitHub; the right choice depends on existing repositories, governance, integrations and team preferences.
A strong GitLab CI/CD specialist usually also understands Git, YAML, Linux, shell scripting, Docker and automated testing. Kubernetes, Helm, Terraform, cloud services, security scanning and observability are valuable when pipelines operate production platforms.
The required depth depends on the pipeline scope, release risk and existing documentation. A focused configuration task may need knowledge of GitLab jobs and runners, while a large migration or regulated delivery process calls for experience with architecture, permissions, secrets, rollback and incident handling.
GitLab CI/CD is well suited to remote collaboration because pipeline definitions, job logs, artifacts and approvals are recorded in a shared project. For Stuttgart-based teams, agree early on working hours, language expectations, access procedures and whether workshops require on-site attendance.
Ask a GitLab pipeline specialist to explain failure handling, test coverage, caching, runner isolation, secret protection and deployment approvals. Quality is visible in predictable execution, useful feedback, controlled releases and configuration that another professional can maintain.
A GitLab runner executes the jobs defined in a pipeline. Its executor, permissions, network access, caching and capacity affect reliability, security and speed, so specialists should match runner design to the workload rather than treating it as a default setting.
GitLab CI/CD can support monorepos through rules, path-based changes, reusable components and parent-child pipelines. Complex releases may also use environments, protected deployments, manual gates and release artifacts, but the configuration should remain modular and documented.
The average hourly rate of freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects is 104 €, which corresponds to a daily rate of about 828 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects, 100% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects are Automotive (88%), Banking and Finance (75%), and Information Technology (75%).
The most common business areas among freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (63%).
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 
Frankfurt 
Dusseldorf 
Leipzig 
Hanover 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
