GitLab CI/CD Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used GitLab CI/CD
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional 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 Narimanyan
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
Gildas Djomen
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 Sadlo
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 Orrantia
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 Chimi
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 Schmidt
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
14 years (Germany: 17 years)
Position duration
1.5 years (Germany: 2.7 years)
Positions per freelancer
15 (Germany: 12)
Top business areas
Information Technology, Product Development, Operations
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
71% (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 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Pipeline design
GitLab CI/CD turns source changes into automated build, test, and release steps. It fits teams that want one workflow for merge requests, branch checks, environments, and delivery. Strong professionals design pipelines that are clear, repeatable, and easy to maintain.
Core parts
- GitLab CI YAML for jobs, stages, rules, and variables
- GitLab Runners for shared, project, or dedicated execution
- artifacts, caches, environments, and approvals
- deployments for apps, services, and infrastructure changes
The best specialists know how these parts work together and where to keep logic simple.
When to bring in help
Companies usually look for freelance expertise when pipelines grow messy, releases slow down, or teams need safer automation. In Stuttgart, this often comes up in manufacturing, mobility, software, and regulated environments where controlled delivery matters. Experts can also help when teams move from basic builds to full delivery flows.
What strong experts do
Good GitLab CI/CD professionals read existing pipelines fast and spot weak spots early. They reduce duplication, improve job reuse, and make failures easier to debug. They also understand Docker, shell scripting, YAML, and the code review flow around merge requests.
Common use cases
- automated build and test pipelines
- release workflows for web apps and services
- container image builds and registry handling
- environment-specific deployments
- security scans and approval steps
GitLab CI/CD is often chosen when teams want CI and delivery close to the code in one place.
Quality signals
Look for clean pipeline structure, sensible use of reusable templates, and safe handling of secrets. A strong expert documents the flow, keeps jobs stable, and knows how to troubleshoot runner issues and flaky steps. Good work should make future changes easier, not harder.
Frequently asked questions
Need clarity? These are the questions we hear most often about GitLab CI/CD.
GitLab CI/CD is used to automate build, test, packaging, and deployment steps for code changes. It helps teams move from commit to release with fewer manual handoffs and clearer checks. Many companies use it to standardize delivery across apps, services, and infrastructure.
GitLab CI/CD is often chosen when teams want the pipeline, repository, and merge request flow in one system. Compared with GitHub Actions, it can feel more centered on GitLab’s built-in workflow. Compared with Jenkins, it usually offers less plugin sprawl and a more integrated experience.
A strong GitLab CI/CD specialist usually knows YAML, shell scripting, Docker, and how runners execute jobs. Experience with artifact handling, caching, secrets, and deployment targets matters too. If the pipeline touches cloud or Kubernetes, that knowledge is a clear plus.
For a small pipeline fix, a focused GitLab CI/CD expert may be enough. For multi-stage delivery, shared templates, or security gates, you want someone who has worked on production systems before. The key is not just writing jobs, but keeping them stable over time.
Yes, GitLab CI/CD is well suited to remote work because the pipeline logic lives in text files and is easy to review in merge requests. Clear naming, comments, and documentation make collaboration smooth across locations. For Stuttgart-based teams, remote work often fits well when the expert can join key planning and handover sessions.
If builds are slow, deploys are risky, or each team maintains its own pipeline style, GitLab CI/CD support is worth bringing in. Another sign is repeated debugging of the same job failures or secrets handling mistakes. A freelancer can clean up the structure and make the process easier to own.
A good GitLab CI/CD freelancer explains choices clearly and keeps the pipeline readable. Look for examples of reusable jobs, safe variable handling, and sensible runner setup. Strong work also includes good handover notes, so your team can maintain it after the project ends.
GitLab CI/CD works well for both. Companies use it for customer-facing apps, internal tools, APIs, and infrastructure changes. It is especially useful when the team wants the same delivery process across several kinds of code and environments.
The average hourly rate of freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects is 109 €, which corresponds to a daily rate of about 873 € 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 71% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects have 14 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 (29%).
The most common industries among freelancers in Stuttgart, Germany who have used GitLab CI/CD in their recent projects are Automotive (86%), Banking and Finance (86%), and Information Technology (71%).
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 Operations (57%).
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
