
GitLab Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used GitLab
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.
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
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
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.
Georgios S.
Last position:
Senior Software Engineer at UBS Bank
- Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
- Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
- Mentoring and pair programming
- Obtained Azure AI-900 and AI-102 certifications
Beat Z.
Last position:
SAP Test Manager at E.ON Grid Solutions GmbH
- Responsible for IT integration test and user acceptance test for SAP S/4 Hana and BDO BO Customer Financials Management
- Led the test team (business testers and IT testers)
- Resource planning and control within the test team
- Created test concepts and test plans
- Performed test risk analysis
- Coordinated test execution and defect tracking
- Ensured test progress
- Generated and visualized reports
- Summarized test reports and reported to management
- Prepared and conducted user acceptance tests
- Managed SIGMA and JIRA/Confluence at project level
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Udo W.
Last position:
Julius Bär
Application ownership and further development of test user management (TUM)
Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, prioritization, further development, automation, and interface management
Technologies: SQL Server, Python, GitLab, UC4, Lieberman, Linux
Responsible for the operation and continuous development of a central application for managing more than 5.000 technical test users and their data.
Gathered and assessed business requirements, independently prioritized further development, and planned and coordinated implementation using agile methods and PI Planning, in close collaboration with the relevant business units and IT teams.
Expanded the central SQL Server database with additional information about test and real users, and integrated further applications through defined interfaces. The modular application used Python-based processing components, with execution and workflows controlled through UC4. This enabled data from different source systems to be automatically transferred, processed, and made available, as well as new test users to be created automatically.
Ensured reliable application operations and continuously optimized and automated existing processes.
Application ownership, modernization, and migration of incident management (TRANT)
Areas of responsibility: Application ownership (Application Ownership / ITSO), application management, incident management, deployment / release management, requirements management, software modernization, migration, interface integration, and quality assurance
Technologies: UC4, Jira, SQL Server, Oracle, Java, Python, Lieberman, Linux, Jai
Responsible for the operation and development of an application that automatically records, processes, and forwards technical incidents in various test environments.
Automated the creation of Jira incident tickets when UC4 workflows were blocked, including routing them to the relevant application managers.
Modernized the application by migrating from Java to Python, moving the database from Microsoft SQL Server to Oracle, and replacing the Jenkins scheduler with UC4.
Integrated the Jira API and used the bank's internal AI solution Jai to support code migration and subsequent validation. Independently and critically reviewed AI-generated results for business and technical accuracy.
Shift lead for operations control in test environments
Areas of responsibility: Monitoring various test systems
Technologies: UC4, TSO, HOST, Azure-Cloud
Responsible for monitoring and controlling automated processing workflows in various test environments, including systems running in the Azure-Cloud.
Monitored UC4 and HOST workflows and analyzed and handled incidents. When processing workflows were blocked, Jira tickets were automatically created through TRANT and assigned to the relevant application owners. In coordination with them, affected jobs were restarted or stopped as needed. HOST processes were also monitored and controlled through OPC.
A multi-shift operation was introduced to ensure stable and as continuous as possible testing.
Test data anonymization manager
Areas of responsibility: Planning/anonymizing/publishing production data for test systems
Technologies: UC4, Informatica (PowerCenter and IDMC)
To ensure test environments could run with real data, production databases were cloned regularly. Production data had to be untraceable in test environments. For this reason, the cloned databases were first anonymized with Informatica PowerCenter and later with Informatica IDMC. Critical tables and columns in the various databases (Oracle, SQL-Server, MongoDB) had to be identified and analyzed at the data level. Rules for handling critical data were agreed with the application owners.
Peter W.
Last position:
IT Consultant at WYP-Consulting
Discover over 15,000 top freelancers
Statistics of experts using GitLab
Aggregated from the professional profiles of matched freelancers.
Experience
23 years

Position duration
2.1 years

Positions per freelancer
14

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Education

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
64%
Doctorate
18%

Certifications per freelancer
3

Most common languages
English, German, Spanish

Speak two or more languages
100%
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 Zurich 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 Zurich 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 29 Oct 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 (83%)
- Education (50%)
- Professional Services (50%)
- Energy (42%)
- Healthcare (42%)
- Government and Administration (42%)
- Retail (42%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
GitLab at a glance
GitLab is a DevSecOps platform for planning, coding, testing, releasing and monitoring software in one connected workflow. Teams use GitLab repositories, merge requests and issue tracking to manage delivery from a shared interface. GitLab.com is hosted, while GitLab Self-Managed supports controlled deployments in a company’s own environment.
Delivery and automation
GitLab CI/CD turns repository changes into repeatable pipelines for building, testing and releasing applications. Strong specialists create reusable pipeline templates, manage runners, handle environments and improve deployment safety. They connect approvals, security checks and observability to the software delivery process.
- Design build, test and deployment pipelines
- Configure runners, environments and protected branches
- Automate container and cloud releases
- Add testing, dependency and security scanning
Ecosystem and tooling
GitLab work often includes Git, Docker, Kubernetes, Helm and major cloud services. Specialists may also work with Terraform, Ansible, Prometheus, Grafana and external identity providers. Useful adjacent skills include Linux, networking, scripting, API integration and software supply-chain security.
When companies bring in experts
Companies engage freelance GitLab specialists during platform migrations, CI/CD redesigns and releases that need stronger controls. They also help when pipelines are slow, runner capacity is unreliable, permissions are unclear or teams need a consistent workflow across repositories. In Zurich, they may support financial, industrial, life-science and software teams working on regulated or distributed systems.
- Move repositories and pipelines from another system
- Establish branching, review and release standards
- Harden a GitLab Self-Managed installation
- Improve pipeline speed, reliability and traceability
What strong specialists deliver
The best professionals understand both GitLab configuration and the engineering process around it. They document pipeline logic, keep credentials out of repositories, define sensible permissions and make failures easy to diagnose. They can explain trade-offs clearly to product, security and operations stakeholders instead of treating automation as a collection of scripts.
Collaboration and project fit
A GitLab engagement may cover a focused pipeline improvement or a broader delivery transformation. Remote collaboration works well when repositories, environments and access rules are prepared; on-site workshops can help align teams and governance. Zurich-based companies may value German or Swiss German alongside English, depending on stakeholders, while technical documentation is often kept in English.
Frequently asked questions
The facts hiring teams ask for most often when it comes to GitLab.
GitLab is used to host source code, review changes, track work and automate software delivery. Its CI/CD features can build, test, scan and deploy applications, while planning, security and monitoring features connect the surrounding workflow.
GitLab brings repository management, CI/CD, security controls and planning into one integrated product. GitHub and Bitbucket can be strong choices too, especially where their surrounding ecosystems are already established, so the right option depends on existing tools, hosting requirements and team practices.
GitLab work benefits from knowledge of Git, Docker, Kubernetes, Linux and cloud infrastructure. Depending on the assignment, Terraform, Helm, scripting, identity management, observability and software security are also valuable.
GitLab expertise should match the project’s risk and scope rather than a fixed tenure requirement. A focused pipeline change may need a specialist familiar with the relevant tools, while a migration or self-managed rollout calls for proven experience with architecture, access control, reliability and recovery planning.
GitLab is well suited to remote collaboration because repositories, issues, reviews and pipelines are shared online. A Zurich company should clarify access procedures, working hours, documentation language and any need for on-site workshops before the engagement begins.
GitLab Self-Managed can suit companies that need direct control over hosting, network placement, integrations or operational policies. GitLab.com reduces infrastructure responsibility, so the decision should consider compliance needs, internal operations capacity, maintenance effort and required integrations.
GitLab work is easier to assess when the specialist can show clear pipeline design, safe secret handling, useful documentation and measurable failure recovery practices. Ask how they structure runners, permissions, environments and approvals, then review a small technical plan before granting broad access.
GitLab assignments may involve more than writing pipeline files. Professionals should clarify repository ownership, runner access, deployment targets, branching rules, security expectations, incident procedures and whether the work covers GitLab.com or a self-managed installation.
The average hourly rate of freelancers in Zurich, Switzerland who have used GitLab in their recent projects is 101 €, which corresponds to a daily rate of about 807 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used GitLab in their recent projects, 91% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used GitLab in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Zurich, Switzerland who have used GitLab in their recent projects are English (100%), German (92%), and Spanish (25%).
The most common industries among freelancers in Zurich, Switzerland who have used GitLab in their recent projects are Information Technology (100%), Banking and Finance (83%), and Education (50%).
The most common business areas among freelancers in Zurich, Switzerland who have used GitLab in their recent projects are Information Technology (100%), Product Development (92%), and Project Management (75%).
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.
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