Docker Experts in Zurich
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Meet FRATCH Experts in Zurich, who have recently used Docker
Vincent Verdet
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
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
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
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.
Ursula Maria Mayer
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Csaba Kéri
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
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
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
Nenad Tomasic
Last position:
Contractor at Swisscom
- SAP Data Designer ETL, SQL Server, Docker for PharmaSuisse Data Warehouse Application (Application Manager and Developer)
- SAP Business Objects, ABAP on SAP HANA for the Police of the Canton of Bern (Application Manager and Developer)
- Avaloq Connectors to SAP BW for Banque Cantonale de Fribourg
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 Docker
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, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
69%
Doctorate
15%
Certifications per freelancer
5
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 Docker
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
Container basics
Docker packages software and its dependencies into portable containers. That makes builds repeatable and deployments easier to move across laptops, test systems, and production. Companies use it for services, worker processes, batch jobs, and isolated environments.
Core ecosystem
Docker work usually touches:
- Dockerfiles and image design
- Docker Compose for local stacks
- Docker Hub or private registries
- Docker Desktop for day-to-day work
- build and release pipelines
A strong professional keeps images small, predictable, and easy to maintain.
When teams bring help
Freelance specialists are useful when container setups are slowing delivery, images are messy, or environments differ between teams. They also help when a product moves from one host to many services, or when a team needs a cleaner handoff from development to operations. In Zurich, this often fits product teams that need remote support with occasional on-site workshops.
What good work looks like
Good Docker work is more than getting a container to start. It includes clear layering, sane environment handling, non-root execution where possible, and build steps that fail fast. The best professionals document assumptions, keep runtime files separate from build-time files, and avoid image bloat.
Typical project work
- Containerize an existing application
- Set up Docker Compose for local development
- Improve image build speed and reliability
- Prepare registry and release workflows
- Review security and runtime settings
These tasks often sit around app modernization, platform work, and release engineering.
Skills around Docker
Docker specialists usually work with Linux, CI/CD systems, registries, shell scripting, and cloud services. They often need to understand networking, volumes, secrets, logs, and how containers behave under real load. For teams using Docker in Zurich, clear English is common, while some workshops may also involve local language expectations.
Frequently asked questions
Key details about Docker, drawn from the questions we get asked most.
Docker is used to package an application with the software it needs so it runs the same way across local machines, test systems, and production. Teams use it for web services, background workers, scheduled tasks, and repeatable build environments. It is especially useful when different specialists need the same setup without long manual installs.
Docker containers share the host kernel, so they are usually lighter and faster to start than full virtual machines. A VM isolates a full operating system, while Docker focuses on packaging the app and its runtime. For many software teams, that makes containers a better fit for development, delivery, and service deployment.
A company should hire a Docker specialist when container builds are unstable, environments do not match, or a product needs a better path into CI/CD. Help is also useful when image size, startup time, or registry handling becomes a problem. If you are moving from ad hoc scripts to a cleaner release process, that is a strong signal.
A strong Docker professional usually knows Linux basics, shell scripting, image building, networking, volumes, and registry workflows. In many projects, they also work with Docker Compose, CI/CD pipelines, cloud platforms, and secrets handling. Those skills matter because containers rarely live alone; they sit inside a wider delivery setup.
Docker is often enough for local development, simple services, and smaller deployment setups. Kubernetes becomes relevant when a team needs orchestration across many containers, automated scaling, or more advanced rollout control. Many projects use Docker first and only add Kubernetes when operational needs grow.
A good Docker deliverable should include a clean Dockerfile, working runtime settings, and clear instructions for build and run steps. If Compose is involved, the service dependencies should be easy to start and understand. Good handover also covers registry use, environment variables, and any limits or assumptions the container needs.
Yes, Docker work is often well suited to remote delivery because most tasks are tied to code, build files, and reproducible environments. For teams in Zurich, remote specialists can usually handle the day-to-day setup and review work, while occasional on-site sessions help align on architecture or handover. The main requirement is clear communication around infrastructure and release expectations.
Look for a Docker specialist who explains trade-offs clearly, not just someone who can make a container start. Strong signs are small images, readable Dockerfiles, good use of Compose, and practical handling of logs, secrets, and environment differences. You should also see careful thinking about maintainability, not only the first successful build.
The average hourly rate of freelancers in Zurich, Switzerland who have used Docker in their recent projects is 112 €, which corresponds to a daily rate of about 897 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Docker in their recent projects, 100% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Docker 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 Docker in their recent projects are English (100%), German (93%), and French (40%).
The most common industries among freelancers in Zurich, Switzerland who have used Docker in their recent projects are Information Technology (93%), Banking and Finance (80%), and Education (53%).
The most common business areas among freelancers in Zurich, Switzerland who have used Docker in their recent projects are Information Technology (100%), Product Development (87%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Docker
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
