
GitLab Experts in Switzerland
for secure delivery pipelines, matched in minutes with AIWork with specialists who manage GitLab repositories, design GitLab CI/CD pipelines, and connect software delivery with cloud infrastructure and security practices. FRATCH quickly matches you with vetted, available freelancers who fit your technical and project needs.
Meet FRATCH Experts in Switzerland, who have recently used GitLab
Frank G.
Last position:
Agile Coach and Program Manager at Centris AG
The insurance application service provider in Switzerland intended to develop a multi-channel output system to support their customers on their digital enhancement journey.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 5 teams in the ART. Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
The insurance application service provider in Switzerland intended to transform their claims management BPO and IT team into an agile delivery organization.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 2 teams in an ART.
- Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
Gwang Jin K.
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Urs S.
Last position:
CargoMonitor App at MSR Electronics GmbH
MVP app for shock logger to monitor and analyze transport data via BLE as a Kotlin Multiplatform solution for Android and iOS.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Robin O.
Last position:
Co-Founder & AI Solutions Architect at airdys
- Product strategy, architecture, and technical co-direction
- AI workshops, client onboarding and go-to-market activities
- Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
- Hands-on development of prototypes and production-ready AI integrations
- Consulting clients on AI adoption, workflows, and integration into existing infrastructure
- Collaboration with co-founders on strategic direction
- Collaboration in sales and customer acquisition
Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker
Peter W.
Last position:
IT Consultant at WYP-Consulting
Venkata R.
Last position:
Continuous Learning at Personal Time Off
- ZHAW CAS Secure Software Design and Development
- German C1 and Goethe Certificate C1
- ETH CAS Cloud and Mobile Computing at ETH Zurich
- Linux Foundation Linux System Administration LFS307
- Linux Foundation Kubernetes Fundamentals LFS258
- Linux Foundation Kubernetes for Application Developers LFD459
- Linux Foundation Kubernetes Security Fundamentals LFS460
Ahmed R.
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Patrick R.
Last position:
DevOps Engineer at Swisscard AECS AG
- PoC for various platform integration functionalities using Backstage and Crossplane
- Implementation of improvements of developer experience with Azure AVD and DevSpace
- Manage application deployment infrastructure on Kubernetes clusters
- Manage CI/CD platform
- Manage deployments into Kubernetes (Rancher and AKS) and into Azure
- Act as security champion of the DevOps team
- Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
- Support building the platform team
- Manage infrastructure as code using Terraform and Atlantis
- Build and integrate a platform and IDP using Crossplane
Andreas H.
Last position:
Test Automation Architect at Banking Bank (name withheld)
- Set up a shift-left DevOps E2E system testing architecture
- Set up "DevOps Shift-left" E2E tests for 240+ applications
- Under NDA
Stefan L.
Last position:
Senior Manager, Project Manager, Auditor and Consultant at Laager Consulting GmbH
Many years of experience in application development, ICT infrastructures, systems management, hardware and software, telecommunications, ICT strategies, business models, database management, data center consolidations, support and call center setup
Since 1999 independent consultant and project manager: ICT strategies and governance, processes, audits, security, infrastructure (including cloud, DevOps and tools), data and output management, organizational restructurings, business project management and consulting in various industries
Generalist with analytical skills, strong communicator at all hierarchy levels, deployable as manager, coach, project manager or consultant
Markus S.
Last position:
Domain Architect Core Party Data at ING DiBa AG
Technologies: Confluence, PlantUML, BPMN
- As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.
Yuri G.
Last position:
Senior Security Devops Engineer at Swisscom
- Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
- Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
- Migration from Docker Swarm to Kubernetes
- Infrastructure automation with Terraform
- Planning and execution of risk assessments, threat modeling, and compliance reports
- Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
- Leading integration tests and UAT (Cucumber, Selenium, Katalon)
- Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
- Integrating SAST tools like Snyk and SonarQube
- Release management and project coordination according to Scrum and SAFe
- Mentoring and technical support of junior team members
Discover over 15,000 top freelancers
Statistics of experts using GitLab
Aggregated from the professional profiles of matched freelancers.
Experience
23 years

Position duration
3.2 years

Positions per freelancer
15

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Government and Administration

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
90%
Master's degree or higher
55%
Doctorate
10%

Certifications per freelancer
5

Most common languages
English, German, French

Speak two or more languages
100%
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 Switzerland 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 Switzerland 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 19 Sep 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%)
- Banking and Finance (74%)
- Government and Administration (52%)
- Healthcare (43%)
- Insurance (43%)
- Professional Services (43%)
- Energy (39%)
- Retail (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitLab Does
GitLab is a web-based platform for managing the software lifecycle in one workspace. Teams use it for source control, code review, issue tracking, release planning, continuous integration and continuous delivery. Its single application approach connects planning, development, security and operations around the same project data.
Core Capabilities
GitLab uses Git repositories for version control and supports merge requests, protected branches, approvals and searchable project history. GitLab CI/CD runs automated builds, tests and deployments through pipeline definitions. The platform also includes package registries, release management, environments, monitoring integrations and security scanning.
Typical Projects
- Create GitLab repositories and migration plans from other Git hosting services
- Design GitLab CI/CD pipelines for testing, packaging and deployment
- Set up runners, permissions, branching rules and approval workflows
- Connect GitLab with Kubernetes, cloud services, registries and ticketing tools
- Improve application security with dependency, secret and container scanning
GitLab supports web applications, internal platforms, APIs, data services and embedded software workflows. It can serve small product teams as well as regulated organisations that need controlled delivery processes.
Ecosystem And Tooling
Strong GitLab specialists work with Git, Docker, Kubernetes, Terraform and major cloud environments. They understand runner configuration, YAML pipeline design, artifact handling, caching, variables and environment promotion. Depending on the project, they may also use Helm, Ansible, Prometheus, SAST, DAST and external identity providers.
When Companies Need Help
Companies often bring in freelance GitLab expertise during a migration, platform consolidation or delivery-process redesign. Specialist support is useful when pipelines are slow, permissions are unclear, deployments are unreliable or security checks are disconnected from daily work. In Switzerland, remote collaboration can work well across distributed teams, while on-site support may matter for workshops, operational handovers or organisations with strict infrastructure requirements.
What Strong Specialists Bring
Experienced professionals treat GitLab as an operating model, not only a repository host. They clarify branching and release strategies, keep pipeline configuration maintainable, apply least-privilege access and document decisions for internal teams. They also distinguish a quick workaround from a reliable automation design that can be monitored, audited and extended.
Frequently asked questions
What clients ask us most about GitLab — answered in short.
Companies use GitLab to host Git repositories, review code, track work and automate testing and deployment. It can connect planning, security checks, package management and operational feedback in one workflow.
GitLab is often chosen for its integrated CI/CD, security features and broad single-application workflow. GitHub and Bitbucket can be strong alternatives, especially when a company is already committed to their surrounding ecosystems, so the right choice depends on governance, integrations and operating preferences.
A strong GitLab specialist usually understands Git, Linux, Docker, Kubernetes, cloud infrastructure and infrastructure as code. Knowledge of Terraform, Helm, identity management, observability and application security is valuable when the work extends beyond repository administration.
The required background depends on the scope. A pipeline adjustment may need focused CI/CD knowledge, while a migration or enterprise rollout calls for experience with architecture, permissions, runners, integrations, governance and team enablement.
Yes, much GitLab work can be completed remotely because repositories, pipelines and configuration are collaborative by nature. On-site sessions can still help with discovery, security reviews, stakeholder workshops or handovers, and language expectations should be agreed before the engagement begins.
GitLab CI/CD uses pipeline configuration to automate stages such as validation, testing, packaging and deployment. Freelancers should be comfortable with runners, dependencies, artifacts, caching, protected variables, environments and failure diagnosis rather than only copying template files.
Ask for examples of maintainable pipelines, migration plans or access models that the specialist has delivered. Good GitLab work includes clear documentation, secure defaults, useful failure messages, controlled releases and a design that the internal team can operate after handover.
GitLab CE refers to the Community Edition, while GitLab EE refers to the Enterprise Edition and its additional capabilities. The suitable option depends on required security controls, governance, support, deployment model and licensing needs, not simply on the size of the repository.
The average hourly rate of freelancers in Switzerland who have used GitLab in their recent projects is 117 €, which corresponds to a daily rate of about 940 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used GitLab in their recent projects, 90% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Switzerland who have used GitLab in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Switzerland who have used GitLab in their recent projects are English (100%), German (96%), and French (39%).
The most common industries among freelancers in Switzerland who have used GitLab in their recent projects are Information Technology (100%), Banking and Finance (74%), and Government and Administration (52%).
The most common business areas among freelancers in Switzerland who have used GitLab in their recent projects are Information Technology (96%), Product Development (83%), and Quality Assurance (74%).
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.
Request a free demo
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