OpenAPI Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used OpenAPI
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
Robin Ochsner
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
Thomas Müllerleile
Last position:
Developer/Analyst at Nvaria GmbH
- Analyzed migration strategies after Camunda 7 was declared end of life with extended support until 2030.
- Evaluated potential migrations to Camunda 8, Flowable, and Operaton.
- Conducted a proof of concept demonstrating that existing projects could be migrated to both Flowable and Operaton.
- BPMN
- DMN
- Confluence
- Flowable
- Operaton
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
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
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 OpenAPI
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.5 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Energy
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
50%
Certifications per freelancer
3
Most common languages
German, English, Greek
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 OpenAPI
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
API contracts
OpenAPI defines REST API contracts in a machine-readable way. It helps teams describe endpoints, request and response shapes, auth, and error cases before or alongside implementation. Good experts use it to reduce ambiguity between product, backend, and frontend work.
Common deliverables
- OpenAPI 3.0 or 3.1 specifications for new APIs
- Swagger UI documentation that is clear for internal and external users
- Contract-first API design and review
- Mock servers and example payloads for testing and onboarding
- Validation rules that keep APIs aligned with the spec
Tooling and ecosystem
OpenAPI usually sits next to tools such as Swagger UI, Redoc, and code generators. Strong professionals know how to keep the spec readable while supporting client generation, schema reuse, and versioned documentation. They also understand how OpenAPI fits into CI checks and API governance.
When to bring in help
Companies often need outside expertise when an API surface grows quickly, teams disagree on naming or structure, or documentation has drifted away from reality. In Zurich, this is common for fintech, SaaS, logistics, and regulated product teams that need crisp API handoffs and stable partner integrations.
What strong specialists do
A strong OpenAPI specialist does more than write YAML. They think about developer experience, backward compatibility, security schemes, and how real consumers will use the API. They can turn messy endpoints into a consistent contract that supports both human readers and automation.
Working model
OpenAPI work fits both remote and on-site collaboration. Remote experts can review specs, shape documentation, and support tooling from anywhere, while on-site sessions in Zurich help when teams need fast alignment across product, backend, and QA. The best results come from clear ownership and direct feedback loops.
Frequently asked questions
Need clarity? These are the questions we hear most often about OpenAPI.
OpenAPI is used to describe REST APIs in a standard format that tools and teams can read. It is common for documentation, contract-first design, mock servers, validation, and client generation. That makes it useful when several teams need the same API shape to stay consistent.
OpenAPI is the specification; Swagger is the older name many people still use for the surrounding tooling and the same ecosystem. In practice, searchers often mean OpenAPI 3.x when they say Swagger. A good specialist knows both terms and can work across the spec and tools like Swagger UI.
OpenAPI help is most useful when an API is growing, documentation is falling behind, or different teams keep interpreting the contract differently. It is also valuable before a partner integration or a public launch. Bringing in a specialist early avoids rework later.
A strong OpenAPI professional usually also knows REST design, JSON Schema, authentication patterns, and API testing. Experience with CI checks, linting, and code generation is a plus. Those skills help keep the spec accurate and useful after the first draft.
A small OpenAPI cleanup can be handled by one focused specialist if the API is already stable. Larger work needs someone who can coordinate product decisions, versioning, and documentation standards. The complexity is usually in the API estate, not just in the file format.
Look for a OpenAPI spec that matches the real API, uses consistent naming, and includes clear examples and error responses. It should support automation without becoming hard to read. Good quality also means the documentation stays maintainable as the API changes.
Yes, OpenAPI work is often remote because most tasks center on specs, reviews, and tooling. For Zurich teams, remote collaboration works well when the expert can join short workshops and keep feedback loops tight. On-site time helps when the API touches many stakeholders.
A solid OpenAPI freelancer should leave behind more than a file. Expect a clean specification, aligned examples, documentation output, and notes on versioning or validation rules. If needed, they should also help the team adopt the spec in daily work.
The average hourly rate of freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects is 115 €, which corresponds to a daily rate of about 923 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 50% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects are German (100%), English (100%), and Greek (17%).
The most common industries among freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects are Information Technology (100%), Banking and Finance (83%), and Energy (67%).
The most common business areas among freelancers in Zurich, Switzerland who have used OpenAPI in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used OpenAPI
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
