CI/CD Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used CI/CD
Nikita V.
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.
Patrick B.
Last position:
Senior Software Engineer at On AG
- Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
- Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
- Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
- Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
- Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
- Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
- Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Rupesh Kumar S.
Last position:
IT Baseline Compliance Consultant at Consultant
- Verified baseline compliance against MAS audit findings
- Developed technical architecture concepts for 30 technologies to create hardening standard artifacts
- Identified and developed automation opportunities for given technologies based on CIS
- Developed standard baseline configurations based on internal security standards
- Responsible for developing Cloud Native Application Protection Platform (CNAPP) architecture artifacts based on the Azure cloud platform
- Responsible for RFQs and RFPs for different CNAPP solutions (Qualys Total Cloud, CrowdStrike, Azure Security Center)
- Supported compliance verification and validation through automated scripts for a sample population of IT devices and instances
- Responsible for the full vulnerability management lifecycle using Nexpose, including remediation, reporting, and integrating results with Splunk, HPSM, and Tableau
- Supported MAS audits
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
Milan S.
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.
Bojan A.
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
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.
Christoph J.
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.
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
Jack S.
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
Matthias I.
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.
Alejandro A.
Last position:
AI Researcher & Engineer at Tufa Labs
- Deployed and optimized the inference stack on a multi-node DGX B200 cluster across vLLM and SGLang (serving, throughput and latency tuning).
- Built, with a small team, an internal Python library for LM pretraining covering the full training loop: distributed training with PyTorch FSDP, data pipelines, checkpointing, config and hyperparameter management, and experiment tracking.
- Built and evaluated agent scaffolds on interactive game benchmarks similar to ARC-AGI-3, with metrics for how models plan, explore and adapt across multi-step episodes; classified model errors and fed the findings back into scaffold and evaluation design.
- Researched looped transformer architectures.
Discover over 15,000 top freelancers
Statistics of experts using CI/CD
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.9 years (Switzerland: 2 years)
Positions per freelancer
11 (Switzerland: 13)
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
100%
Master's degree or higher
76% (Switzerland: 63%)
Doctorate
12% (Switzerland: 5%)
Certifications per freelancer
4
Most common languages
English, German, French
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 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.
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.
- Information Technology (100%)
- Banking and Finance (79%)
- Education (47%)
- Manufacturing (42%)
- Retail (42%)
- Energy (32%)
- Healthcare (32%)
- Professional Services (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Delivery pipelines
CI/CD combines continuous integration and continuous delivery or deployment into a repeatable software delivery process. Teams automatically build, test, scan and package changes before releasing them to development, staging or production. This reduces manual handovers and makes defects visible earlier.
Platforms and tooling
The ecosystem includes GitHub Actions, GitLab CI/CD, Jenkins, Azure Pipelines and CircleCI. Strong specialists connect these systems with Git, Docker, Kubernetes, Terraform, cloud registries and artifact repositories. They also configure runners, secrets, approvals, caching, notifications and deployment gates.
What it builds
CI/CD supports web applications, APIs, mobile backends, data services and internal business systems. Typical deliverables include:
- Pipeline design for build, test and release stages
- Container image creation and registry management
- Kubernetes and cloud deployment automation
- Infrastructure and environment promotion workflows
- Rollback, audit and release approval controls
When expertise matters
Companies bring in freelance specialists when releases are slow, pipelines fail without clear causes or deployment steps depend on manual work. Expertise is also valuable during cloud migrations, platform standardisation, compliance reviews and the introduction of trunk-based development. In Zurich, teams can combine local workshops with remote delivery across distributed product and operations groups.
Skills behind reliable releases
Effective CI/CD work requires more than writing pipeline configuration. Specialists understand branching strategies, test design, versioning, Linux, networking, identity and access management, observability and incident response. They align delivery workflows with team ownership, risk tolerance and the architecture of the product.
Quality signals
Look for professionals who can explain why each pipeline stage exists and how it behaves when a check fails. A strong specialist measures lead time, deployment safety and recovery paths without treating automation as an end in itself. Clear documentation, reproducible environments, secure credential handling and maintainable configuration distinguish durable CI/CD work from a fragile sequence of scripts.
Frequently asked questions
The facts hiring teams ask for most often when it comes to CI/CD.
CI/CD automates the path from a source code change to a tested and deployable software release. It helps teams integrate changes regularly, detect defects early and deliver updates through controlled environments.
CI/CD provides repeatable checks and deployment steps instead of relying on individual knowledge or manual runbooks. Manual releases may still suit small or highly restricted systems, but they become harder to audit and scale as products and teams grow.
CI/CD tooling should match the source-control setup, hosting model, security requirements and skills already present in the team. GitHub Actions and GitLab CI/CD offer close integration with their wider platforms, while Jenkins provides broad plugin support and control for customised environments.
A strong CI/CD specialist usually works comfortably with Git, Linux, Docker, Kubernetes, cloud services and infrastructure as code. Testing, secrets management, observability and incident response are also important when pipelines reach production systems.
CI/CD project scope matters more than a generic experience label. A simple application pipeline may need focused configuration work, while a regulated or multi-environment platform calls for proven release governance, security controls, migration planning and operational support.
CI/CD work is often well suited to remote collaboration because configuration, reviews and pipeline results are accessible online. On-site workshops in Zurich can help with access constraints, architecture decisions and coordination between product, security and operations teams.
A CI/CD engagement should produce documented workflows, reliable tests, secure credentials, clear ownership and a practical release process. The specialist should also explain failure handling, rollback options and how the team will maintain the pipeline after handover.
Review whether CI/CD changes are reproducible, observable and understandable to the team that owns them. Ask how the specialist handles flaky tests, failed deployments, dependency updates, permissions and recovery, rather than judging quality by pipeline complexity alone.
The average hourly rate of freelancers in Zurich, Switzerland who have used CI/CD in their recent projects is 101 €, which corresponds to a daily rate of about 809 € 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, 76% hold at least a Master's degree, and 12% 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 1.9 years.
The most common languages among freelancers in Zurich, Switzerland who have used CI/CD in their recent projects are English (100%), German (84%), and French (32%).
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 (79%), 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 (89%), and Project Management (47%).
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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