Kubernetes Expert in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Kubernetes
Frank G.
Last position:
Agile Coach and Program Manager at Centris AG
The insurance application service provider in Switzerland intended to develop a multi-channel output system to support their customers on their digital enhancement journey.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 5 teams in the ART. Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
The insurance application service provider in Switzerland intended to transform their claims management BPO and IT team into an agile delivery organization.
- Established an Agile Release Train based on SAFe 6.0
- Trained all ART leadership
- Coached the development of the solution intent
- Established 2 teams in an ART.
- Developed the Epic and Feature Backlog for the team.
- Planned and coached 2 PI planning sessions
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."
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
Ralf R.
Last position:
Infrastructure-as-Code Transformation Architect at ODDO BHF
Responsible for designing and delivering a company-wide, comprehensive Infrastructure-as-Code (IaC) transformation in a regulated banking environment.
Conducted an assessment of the current infrastructure, processes, tools, teams, ways of working and skill profiles as a basis for the target architecture and a PDO (Product-Driven Organization)
Defined a tailored, audit-ready Everything-as-Code infrastructure (including governance, security and compliance)
Built a comprehensive IaC operating model, integrating and transforming internal teams
Designed standardised, reusable Terraform modules for infrastructure and platform services
Integrated secrets management, PKI and Encryption-as-a-Service to secure critical VMware and Kubernetes platform components and stored data
Implemented the platform in line with regulatory requirements (DORA, BaFin, ACPR, CRA), with a focus on auditability and traceability
The initiative provides the foundation for standardised, automated and audit-ready infrastructure, reduces manual intervention and enables scalable, traceable delivery of IT resources in a banking environment.
Piotr C.
Last position:
Full Stack Software Developer at Meteomatics AG
- Created the MetX Assistant and was its primary driver from concept through production with real users; designed and oversaw telemetry and presented the system in demos.
- Built React, TypeScript and Python features for MetX, a scientific weather visualization platform; integrated internal data APIs and improved caching, request handling and rendering workflows.
- Contributed to company MCP tooling and led AI workshops and internal automation initiatives, including experiments connecting AI agents with Slack, Jira and Git.
- Acted as the team's Observability and DevOps subject matter expert, supporting service reliability, deployment workflows, monitoring and troubleshooting.
- Participated in Security, Observability and AI Communities of Practice.
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.
Markus S.
Last position:
Domain Architect Core Party Data at ING DiBa AG
Technologies: Confluence, PlantUML, BPMN
- As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.
Yuri G.
Last position:
Senior Security Devops Engineer at Swisscom
- Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
- Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
- Migration from Docker Swarm to Kubernetes
- Infrastructure automation with Terraform
- Planning and execution of risk assessments, threat modeling, and compliance reports
- Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
- Leading integration tests and UAT (Cucumber, Selenium, Katalon)
- Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
- Integrating SAST tools like Snyk and SonarQube
- Release management and project coordination according to Scrum and SAFe
- Mentoring and technical support of junior team members
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
Mathias D.
Last position:
Independent contractor at Allianz-Technology
- Developed a large web application for second-pillar retirement insurance (Swiss BVG, Kollektivleben) with over 1000 web pages, using an in-house modeling language and Angular for the front end and back end
- Fixed bugs in the code generator and enhanced and re-engineered the application
- Built an automated testbed
- Implemented PDF document generation with XML and Thunderhead
- Resolved issues caused by the switch to Java 21
- Replaced middleware server for insurance base data (customers, contracts) using Java/Spring, REST, OpenAPI, Docker, Kubernetes, OpenShift, Azure CI/CD pipeline, Jenkins, and GitHub
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.
Patrick R.
Last position:
DevOps Engineer at Swisscard AECS AG
- PoC for various platform integration functionalities using Backstage and Crossplane
- Implementation of improvements of developer experience with Azure AVD and DevSpace
- Manage application deployment infrastructure on Kubernetes clusters
- Manage CI/CD platform
- Manage deployments into Kubernetes (Rancher and AKS) and into Azure
- Act as security champion of the DevOps team
- Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
- Support building the platform team
- Manage infrastructure as code using Terraform and Atlantis
- Build and integrate a platform and IDP using Crossplane
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
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.
Discover over 15,000 top freelancers
Statistics of experts using Kubernetes
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
3 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
95%
Master's degree or higher
64%
Doctorate
9%
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 Switzerland 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.
Discover detailed Kubernetes rate benchmarks:
Explore rate insightsAverage rates of experts in Switzerland using Kubernetes
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.
Kubernetes 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 (82%)
- Government and Administration (54%)
- Professional Services (50%)
- Education (43%)
- Insurance (43%)
- Retail (43%)
- Energy (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Kubernetes does
Kubernetes is an open-source system for deploying, scaling and operating containerized applications. It schedules workloads across clusters, replaces failed containers and manages service discovery, networking and storage. Teams use it to run APIs, web applications, data services and machine-learning workloads consistently across cloud and on-premises environments.
Core ecosystem
Kubernetes specialists work across the wider cloud-native stack, not just the cluster control plane. Their toolkit may include managed services such as Amazon EKS, Google Kubernetes Engine and Azure Kubernetes Service, along with Helm, Kustomize, Terraform, Argo CD, Prometheus and Grafana. They also understand container images, registries, ingress controllers and policy management.
Typical delivery work
Freelance professionals contribute to projects such as:
- Designing cluster architectures for development, staging and production
- Moving applications from virtual machines or legacy hosting into containers
- Creating Helm charts, manifests and GitOps deployment workflows
- Improving observability, autoscaling, reliability and disaster recovery
- Securing workloads, secrets, access policies and software supply chains
When expertise matters
Companies usually bring in Kubernetes expertise during a cloud migration, platform redesign or major growth phase. Specialist support is also valuable when clusters have become difficult to operate, release processes are slow or cloud costs are hard to control. In Switzerland, professionals may need to coordinate remote delivery with teams across several sites while documenting decisions clearly for internal operations groups.
Skills to look for
Strong professionals combine Kubernetes knowledge with Linux, networking, containers and cloud infrastructure. They can explain trade-offs between managed and self-hosted clusters, choose suitable workload and storage patterns, and make deployment changes safely. Experience with CI/CD, infrastructure as code, observability and identity management helps them solve the operational issues that appear beyond a basic cluster setup.
Signs of quality
Look for specialists who can show how they handled upgrades, failed nodes, security findings and production incidents. They should distinguish application problems from platform problems and use measurable service objectives without hiding behind tooling. Good Kubernetes work leaves behind clear runbooks, reproducible configuration, sensible access controls and a platform that the client team can operate after the engagement.
Frequently asked questions
Questions about Kubernetes? Start with the answers below.
Kubernetes is used to deploy and operate containerized applications across a cluster of machines. It handles scheduling, service discovery, scaling, rolling releases, storage connections and recovery when workloads fail.
Kubernetes is designed for orchestrating applications across multiple nodes and supporting automated recovery, scaling and controlled releases. Docker Compose is usually simpler for local or small-scale environments, while virtual machines provide broader operating-system isolation but typically require more manual workload management.
A strong Kubernetes specialist usually understands Linux, networking, container images, cloud infrastructure and infrastructure as code. CI/CD, Helm, GitOps, observability, identity management and security are also important because cluster work affects the entire delivery path.
The right level depends on the risk and scope of the work. A contained migration may need a specialist who can design manifests and deployment workflows, while a production platform requires proven skills in upgrades, security, incident response, networking and resilience.
Kubernetes work is often well suited to remote collaboration because configuration, documentation and delivery pipelines are managed digitally. On-site sessions can still help with architecture workshops, compliance discussions or handovers, especially when teams in Switzerland need close coordination across locations.
A Kubernetes specialist can assess whether a managed service is appropriate based on operational capacity, compliance needs, networking, data locality and workload requirements. Managed services reduce control-plane maintenance, but the company still owns application security, cluster configuration and day-to-day operations.
Ask how the specialist approaches upgrades, secrets, access controls, backups, observability and failure testing. High-quality Kubernetes work is reproducible, documented and designed around safe changes rather than a collection of manual fixes.
Kubernetes engagements often involve both platform delivery and knowledge transfer. Professionals should clarify ownership of cloud accounts, repositories, pipelines and incidents early, then leave behind usable documentation and workflows that the client team can maintain.
The average hourly rate of freelancers in Switzerland who have used Kubernetes in their recent projects is 117 €, which corresponds to a daily rate of about 940 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Kubernetes in their recent projects, 95% hold at least a Bachelor's degree, 64% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Switzerland who have used Kubernetes in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Switzerland who have used Kubernetes in their recent projects are English (100%), German (96%), and French (43%).
The most common industries among freelancers in Switzerland who have used Kubernetes in their recent projects are Information Technology (100%), Banking and Finance (82%), and Government and Administration (54%).
The most common business areas among freelancers in Switzerland who have used Kubernetes in their recent projects are Information Technology (100%), Product Development (96%), and Operations (54%).
Main locations of FRATCH Experts, who have recently used Kubernetes
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
