CI/CD Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used CI/CD
Gwang Jin Kim
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
Nikita Verkhoshintcev
Last position:
Salesforce Technical Architect at Fennia
- Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
- Resolved WCAG AA compliance issues to support strict accessibility requirements.
- Integrated legacy systems into a new portal via REST API to support existing products.
Christoph Pardon
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 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% through CI/CD pipeline optimization and the introduction of 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
Milan Simonović
Last position:
Cloud Architect & DevOps at Avaloq
- Main cloud solution architect on a banking SaaS offering hosted in Azure.
- Fully automated the Azure infrastructure in Terraform.
- Reduced cloud costs by 50%.
- Responded to incidents, found root-causes and closed with post-mortems.
Venkata Renduchintala
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 Rehman
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.
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Bojan Antonović
Last position:
Full Stack Developer with Angular at Further Education
- Highest level achieved: Certified Mid-Level Angular Developer
- 13 technologies newly learned or refreshed with (re-)certifications
- Current: Docker, Azure, Quarkus
Georgios Sfakianakis
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
Jörg Benedikt Schenker
Last position:
Founder & Managing Director at Schenker Labs GmbH
Applications development & consulting - Schenkerlabs.com
Karl Estermann
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Jack Schmidt
Last position:
Freelance - Fullstack Engineer at SMG Swiss Marketplace Group
- Supported the team in merging two real estate platforms into a unified Vue.js-based solution
- Developed a custom SSR microservice architecture deployed on AWS Lambdas
- Designed and implemented a map drawing feature
- Took ownership of migrating the microservice from Vue 2 to Vue 3
- Built a scalable SSR microservice architecture using AWS Lambda
- Developed and implemented a critical map drawing feature for real estate visualization
- Successfully migrated the microservice from Vue 2 to Vue 3
- Gained deep knowledge of AWS infrastructure, Datadog, Sentry, and Vite
- Technologies: Vue.js, Node.js, Vite, AWS Lambda, Datadog, Sentry, JavaScript
Milica Maričić
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
Mateusz Lipczyński
Last position:
Project Lead Developer at PwC
- Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
- Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
- Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Christoph Janik
Last position:
Project management, Software engineering, Software architect, DevOps at Migros Genossenschafts Bund
- Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
- Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
- Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
- Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
- Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
- Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
- Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
- Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
- Ongoing project with continuous development of platforms and workflows.
Discover over 15,000 top freelancers
Statistics of experts using CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Switzerland: 21 years)
Position duration
1.8 years (Switzerland: 2 years)
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
77% (Switzerland: 61%)
Doctorate
15% (Switzerland: 6%)
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
100%
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 Zurich 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 Zurich using 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 basics
CI/CD stands for continuous integration and continuous delivery or deployment. It brings code changes into a shared flow, checks them early, and moves approved builds toward release with less manual work. Strong specialists make the process repeatable, traceable, and easy to maintain.
What it covers
- Build and release pipelines in GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
- Automated tests, security checks, and quality gates
- Packaging, artifact handling, and deployment steps
- Rollbacks, approvals, and release notes for safer delivery
Where it helps
Companies bring in CI/CD experts when releases are slow, fragile, or too manual. They are also useful during cloud migrations, platform rebuilds, and when teams need a cleaner path from commit to production. In Zurich, this often matters for regulated teams, finance, SaaS, and product groups that need disciplined delivery.
Skills that matter
Good professionals understand source control, branching strategy, build tooling, test automation, and environment management. They also know how to wire secrets, runners, containers, and deployment targets together without creating brittle scripts. The best specialists keep the pipeline readable so teams can maintain it after handover.
Common delivery tasks
- Set up CI for unit, integration, and end-to-end tests
- Standardize build, package, and release flows
- Add deployment logic for Kubernetes, virtual machines, or serverless targets
- Improve failure handling, logs, and pipeline speed
What strong experts deliver
A strong CI/CD specialist thinks beyond one pipeline file. They look at developer flow, release safety, approval steps, and how changes reach production in a controlled way. They document the process, remove hidden manual work, and leave teams with a setup they can trust.
Frequently asked questions
The facts hiring teams ask for most often when it comes to CI/CD.
CI/CD turns code changes into a controlled delivery flow. It automates build, test, and release steps so teams can ship with less manual effort and fewer surprises. That matters when many specialists touch the same codebase or when releases must be predictable.
CI/CD is the broader term. It usually covers continuous integration plus continuous delivery, and sometimes continuous deployment when every approved change goes live automatically. Companies often use the term for the whole pipeline, even if production releases still need an approval step.
A strong CI/CD setup often uses tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or Bitbucket Pipelines. The right choice depends on the repo hosting, cloud target, and team workflow. A good specialist can work with the tool you already use or help you move to a cleaner setup.
A good CI/CD specialist usually brings Git, scripting, Linux basics, and testing knowledge. Container tools, cloud services, and infrastructure as code are often part of the work too. If deployments touch Kubernetes or secret management, that experience is especially valuable.
A CI/CD project can be small or broad, but the specialist should understand the full path from commit to release. For a simple pipeline, one experienced professional may be enough. For larger delivery flows, you may want someone who has handled testing, deployment, and rollback design before.
Look for a CI/CD expert who asks about branching, test coverage, environments, approvals, and rollback needs before proposing changes. Strong work is clear, documented, and easy for your team to keep running. A good sign is when the pipeline becomes simpler, not just more automated.
Yes, CI/CD often fits remote work very well because most of the collaboration happens in code, pipeline config, and review comments. In Zurich, teams may still want a few on-site sessions for stakeholder alignment or access to internal systems. The day-to-day delivery work can usually stay remote.
CI/CD is a delivery practice; DevOps is a broader way of working across development and operations. CI/CD focuses on how code is built, tested, and released. DevOps may also include observability, incident response, infrastructure, and team collaboration patterns.
The average hourly rate of freelancers in Zurich, Switzerland who have used CI/CD in their recent projects is 99 €, which corresponds to a daily rate of about 796 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used CI/CD in their recent projects, 100% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used CI/CD in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Zurich, Switzerland who have used CI/CD in their recent projects are English (100%), German (93%), and French (33%).
The most common industries among freelancers in Zurich, Switzerland who have used CI/CD in their recent projects are Information Technology (100%), Banking and Finance (80%), and Education (47%).
The most common business areas among freelancers in Zurich, Switzerland who have used CI/CD in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (53%).
Main locations of FRATCH Experts, who have recently used 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.
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Philipp Thomaschewski
FRATCH CEO
