GitLab CI/CD Experts in Stuttgart
matched in minutes with vetted, available freelancersHire experts who design reliable pipelines, automate testing and deployments, and connect GitLab with Kubernetes, Docker and cloud environments. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Stuttgart, who have recently used GitLab CI/CD
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
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
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: 90%)
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: 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 Stuttgart 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 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 29 Oct 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 is the automation layer built into GitLab for validating, packaging and releasing software. Teams define pipelines in GitLab CI configuration files, then run jobs on GitLab Runners across hosted or self-managed infrastructure. The workflow connects source control, testing, security checks and deployment in one system.
Pipelines and runners
A pipeline is organized into stages and jobs that respond to commits, merge requests, schedules or manual approvals. Strong specialists configure reusable YAML templates, protected variables, runner registration, caching, artifacts and environment controls. They also tune runner executors for shell, Docker, Kubernetes or virtual machine workloads.
Typical delivery work
- Build pipelines for compilation, unit tests and integration tests
- Automate container images and registry publishing
- Deploy services to Kubernetes, cloud infrastructure or virtual machines
- Add code quality, dependency and security scanning
- Manage review apps, release gates and rollback paths
GitLab CI/CD supports both application delivery and infrastructure workflows. It is commonly used for APIs, web applications, data services, embedded software and internal platforms that need repeatable releases.
Ecosystem connections
The technology works with GitLab repositories, Container Registry, GitLab Pages and environment dashboards. Projects often combine it with Docker, Kubernetes, Helm, Terraform, Ansible, Linux, cloud providers and observability tools. Practical expertise also includes secrets management, branching strategies, merge request rules and deployment policies.
When to hire specialists
- Pipelines are slow, fragile or difficult to maintain
- Releases still depend on manual server steps
- Teams need secure deployments across multiple environments
- A migration from Jenkins or GitHub Actions is underway
- Self-managed GitLab or runner infrastructure needs improvement
Freelance expertise is useful during migrations, platform changes, audit preparation and delivery bottlenecks. In Stuttgart, specialists may support automotive, industrial, software and manufacturing teams, working remotely or alongside local stakeholders. Clear English is common; German can help with on-site collaboration.
Signs of strong expertise
A capable professional can explain pipeline design choices, isolate failed jobs and make delivery behavior predictable. They understand the difference between pipeline success and a safe production release. Look for evidence of reusable configuration, secure credential handling, runner operations, deployment recovery and measurable improvements in delivery flow. Good specialists document decisions and leave teams able to operate the setup independently.
Frequently asked questions
Need clarity? These are the questions we hear most often about GitLab CI/CD.
GitLab CI/CD automates the path from a code change to a tested and deployable result. Companies use it for builds, automated tests, security checks, container publishing, infrastructure changes and releases to environments such as Kubernetes or cloud services.
GitLab CI/CD combines repository management, merge requests, pipeline configuration, registries and deployment controls in one product. Jenkins offers a broad, highly extensible automation ecosystem, while GitHub Actions is closely tied to GitHub; the right choice depends on existing repositories, governance, infrastructure and team preferences.
A strong GitLab CI/CD professional often understands Docker, Kubernetes, Helm, Terraform, Linux and at least one major cloud environment. Useful supporting skills include scripting, Git workflows, secrets management, observability, security scanning and release strategy.
The right level depends on the scope. A simple test pipeline needs less operational depth than a self-managed GitLab installation, multi-environment deployment process or regulated release workflow. Ask for examples involving similar runners, deployment targets, security controls and recovery procedures.
GitLab CI/CD is well suited to remote collaboration because pipeline definitions, job logs, artifacts and approvals are visible in the project. For Stuttgart-based teams, remote work can be combined with on-site workshops when architecture, access controls or production processes need close coordination.
Ask the specialist to describe how they handle failed jobs, flaky tests, secret exposure, runner isolation and unsafe deployments. A high-quality GitLab CI/CD professional explains trade-offs clearly, uses reusable configuration and includes rollback, observability and documentation rather than focusing only on a successful pipeline run.
Yes. GitLab CI/CD can use self-managed GitLab installations and self-hosted GitLab Runners, which may be useful for private networks, custom hardware or stricter control over data and execution. This requires attention to runner permissions, updates, scaling, network access and operational ownership.
Typical deliverables include pipeline configuration, runner setup, reusable templates, environment definitions, deployment scripts, security checks and operational documentation. With GitLab CI/CD, the handover should also explain variables, permissions, approval rules, troubleshooting steps and how the team can safely extend the workflow.
The average hourly rate of freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects is 103 €, which corresponds to a daily rate of about 826 € 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
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Philipp Thomaschewski
FRATCH CEO
