
Jenkins Experts in Zurich
matched in minutes with vetted, available freelancers and the power of AIHire experts who automate build, test and release workflows, connect Jenkins with Git, Docker and Kubernetes, and stabilize continuous delivery pipelines. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Zurich, who have recently used Jenkins
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.
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
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
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.
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
Nenad T.
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
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
Mateusz L.
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
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.
Discover over 15,000 top freelancers
Statistics of experts using Jenkins
Aggregated from the professional profiles of matched freelancers.
Experience
23 years

Position duration
1.8 years

Positions per freelancer
13

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Healthcare

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91%
Master's degree or higher
73%
Doctorate
9%

Certifications per freelancer
5

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 Jenkins
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.
Jenkins 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 (91%)
- Healthcare (45%)
- Insurance (45%)
- Government and Administration (45%)
- Manufacturing (36%)
- Professional Services (36%)
- Telecommunication (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Continuous delivery foundation
Jenkins is an open-source automation server for building, testing and delivering software. Teams use it to turn source-code changes into repeatable pipelines that validate applications, package releases and deploy them to target environments. Its plugin ecosystem connects Jenkins with Git providers, containers, cloud services and enterprise tools.
Pipelines and automation
Jenkins Pipeline defines delivery workflows as code, using declarative or scripted syntax. Strong specialists create stages for checkout, compilation, unit tests, security checks, artifact creation, approvals and deployment. They also manage shared libraries, credentials, agents and reusable pipeline patterns so automation remains maintainable.
- Design multibranch and pull-request pipelines
- Configure distributed build agents and build queues
- Integrate Git, Docker, Kubernetes and artifact repositories
- Automate releases across development, staging and production
Ecosystem and tooling
Jenkins commonly works with Git, GitHub, GitLab, Bitbucket, Maven, Gradle, npm and container registries. It can run workloads on virtual machines, Docker containers or Kubernetes through agents and cloud integrations. Professionals also bring knowledge of Groovy, Linux, webhooks, infrastructure as code, secrets management and observability.
When freelance expertise helps
Companies bring in Jenkins specialists when delivery pipelines are slow, fragile or difficult to change. Freelancers can modernize freestyle jobs into Pipeline, migrate controllers, introduce testing gates or connect legacy systems to a current delivery process. In Zurich, this expertise can support software, financial, industrial and healthcare teams while fitting either on-site workshops or remote collaboration.
- Releases depend on manual handovers or undocumented scripts
- Build failures are hard to diagnose and pipelines lack ownership
- A Jenkins migration, upgrade or Kubernetes integration is planned
- Compliance requires traceable approvals and repeatable delivery
Reliable Jenkins operations
Good Jenkins work starts with a clear delivery model rather than a collection of plugins. Experienced professionals secure controllers and agents, isolate credentials, control plugin versions and define recovery procedures. They measure queue times and failure causes, improve feedback for contributors and document the pipeline so internal teams can operate it confidently.
Choosing the right specialist
Look for practical evidence across pipeline design, source-control integration, testing and deployment. Ask how the professional handles secrets, flaky tests, agent capacity, rollback and disaster recovery. The right fit depends on the environment: a product team may need application delivery expertise, while a regulated organization may prioritize audit trails, access control and controlled releases. Zurich-based teams should also agree early on working hours, workshop needs and communication language.
Frequently asked questions
Everything clients usually want to know about Jenkins, in one place.
Jenkins automates software build, test and delivery workflows. Companies use it to validate code changes, create release artifacts and deploy applications across development, staging and production environments.
Jenkins offers broad extensibility, a large plugin ecosystem and control over where automation runs. GitHub Actions and GitLab CI/CD provide tighter integration with their host platforms, so the best choice depends on existing source control, infrastructure, governance and pipeline complexity.
A strong Jenkins specialist usually understands Git, Linux, Groovy, Docker, Kubernetes and artifact repositories. Knowledge of Maven or Gradle, cloud infrastructure, secrets management, testing and infrastructure as code is also valuable.
The scope matters more than a fixed number of years. A simple pipeline may need focused configuration skills, while a shared Jenkins platform requires experience with pipeline architecture, security, agents, plugin governance, migration and recovery.
Jenkins is well suited to remote collaboration because pipelines, configuration and logs can be reviewed centrally. Zurich teams should define access controls, communication routines and whether workshops or production work require on-site presence, as well as the preferred working language.
A company should assess alternatives when Jenkins maintenance consumes more effort than delivery automation provides, or when its source-control platform already offers sufficient integrated CI/CD. Jenkins can still be the better option when teams need custom integrations, self-hosted control or complex cross-system workflows.
Ask for examples of reliable pipelines, secure credential handling, failure diagnosis and documented rollback paths. High-quality Jenkins work uses versioned pipeline code, sensible plugin choices, clear logs, repeatable environments and handover documentation.
A Jenkins freelancer should clarify the current controller setup, source repositories, agent model, deployment targets, testing gates and ownership of credentials. It is also important to understand release risks, migration goals, support expectations and how the team measures pipeline reliability.
The average hourly rate of freelancers in Zurich, Switzerland who have used Jenkins in their recent projects is 96 €, which corresponds to a daily rate of about 765 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Jenkins in their recent projects, 91% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Jenkins in their recent projects have 23 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 Jenkins in their recent projects are English (100%), German (91%), and French (36%).
The most common industries among freelancers in Zurich, Switzerland who have used Jenkins in their recent projects are Information Technology (100%), Banking and Finance (91%), and Healthcare (45%).
The most common business areas among freelancers in Zurich, Switzerland who have used Jenkins in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (73%).
Main locations of FRATCH Experts, who have recently used Jenkins
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:
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
