Apache Kafka Experts in Switzerland
for reliable event-driven systems, matched in minutes with vetted professionalsHire experts who design event streams, build Kafka Connect integrations and secure Kafka clusters for production workloads. Get precise, fast matching with vetted and available freelancers who fit your technical needs.
Meet FRATCH Experts in Switzerland, who have recently used Apache Kafka
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
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.
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
Christian B.
Last position:
5G Campus Product Advisor Telco at German railway group
- Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.
Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001
Piotr S.
Last position:
CTO Program Manager, Theme Owner / Senior Project Manager at Avaloq Group AG
- Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
- Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
- Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
- Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
- Key responsibilities:
- Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
- Accountable for delivery of annual themes and quarterly key deliverables
- Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
- Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
- Hiring and managing resources in eight countries
- Running quarterly divisional closure meetings presenting achievements and challenges
- Resolving cross-team dependencies and internal/external conflicts
- Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
- Identifying and staffing key roles with chapter leads
- Approach: Agile, Scrum of Scrums, QBR/OKRs
- Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)
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
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Stefan H.
Last position:
Fullstack Development, Product Owner & Tech Lead at Trex AG
- Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
- Leading the development team as Product Owner and Tech Lead.
- Introducing agile processes, setting up development guidelines and system documentation.
- Planning and implementing features like video calls, live chat, and marketing automation.
- Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
- Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
- Industry: Veterinary medicine.
Fabian K.
Last position:
Lecturer at HWZ University of Applied Sciences
- Co-teach in CAS AI Management and CAS AI Innovation programs for future AI managers
- Cover topics including data platforms, AI architecture, technology adoption foundations, and factors influencing enterprise AI initiative success
Csaba K.
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
Ferran S.
Last position:
Senior Software Engineer at Personal time off / Private projects
- Took on and completed private/organizational projects.
- Continued self-training, e.g., in cloud and reactive architectures.
- Focused deepening of knowledge in areas like Kafka and modern Java 17 enterprise architectures.
Karl E.
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
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
Discover over 15,000 top freelancers
Statistics of experts using Apache Kafka
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.1 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
77%
Certifications per freelancer
3
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.
Average rates of experts in Switzerland using Apache Kafka
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.
Apache Kafka 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 (81%)
- Healthcare (50%)
- Insurance (50%)
- Professional Services (50%)
- Government and Administration (50%)
- Education (44%)
- Media and Entertainment (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Event streaming foundation
Apache Kafka is a distributed event streaming platform for publishing, storing and processing records at high throughput. Applications write events to topics, while independent consumers read them at their own pace. This decouples services and supports resilient, near-real-time data flows.
What Kafka builds
Kafka supports operational backbones as well as analytical pipelines. Companies use it to connect services, capture business events and move data between applications without tightly coupling their systems.
- Event-driven microservices and service integration
- Real-time analytics and monitoring pipelines
- Change data capture from operational databases
- Log aggregation and centralised data delivery
Ecosystem and tooling
Strong Apache Kafka work covers more than a broker cluster. Specialists work with topics, partitions, consumer groups, replication, retention and schema management, often using Kafka Connect, Kafka Streams and Schema Registry. They may also integrate Confluent tooling, Apache Flink, Spark, Kubernetes and cloud storage.
When expertise matters
Companies bring in freelance specialists when an event platform must scale without data loss or unclear ownership. Common triggers include replacing point-to-point integrations, migrating from legacy queues, stabilising consumer lag or introducing governance across many producing teams.
- Define event contracts and topic ownership
- Plan partitioning, replication and retention
- Diagnose throughput, lag and rebalance issues
- Establish access control, monitoring and recovery
Switzerland delivery context
Swiss organisations in finance, insurance, manufacturing, retail and transport use event streaming to connect critical systems and support timely decisions. A remote engagement can work well when documentation, access controls and incident routines are clear; on-site collaboration may help during migrations or high-risk cutovers. Language needs depend on the stakeholders and project documentation.
Signs of strong specialists
A strong professional explains why Kafka fits the workload instead of treating it as a universal message queue. They understand delivery semantics, ordering boundaries, idempotent processing, schema evolution and failure recovery. They test replays and outages, instrument the full path from producer to consumer and document operational ownership clearly.
Frequently asked questions
Not sure where to start with Apache Kafka? These answers cover the essentials.
Apache Kafka is used to transport and retain streams of events between systems. It supports microservice communication, real-time analytics, database change capture, audit trails and data integration. Its durable log lets multiple consumers process the same events independently.
Apache Kafka keeps ordered records for a configured retention period, allowing consumers to replay data and read it independently. Traditional queues often focus on handing a message to one consumer and removing it after acknowledgement. The right choice depends on replay needs, ordering, routing and operational constraints.
A strong Apache Kafka specialist should understand distributed systems, networking, Linux, containers and cloud infrastructure. Useful adjacent skills include Java or another JVM language, Kafka Streams, Kafka Connect, schema management, Kubernetes, observability and database design.
The required depth depends on the workload and risk. A simple integration may need focused configuration and testing, while a critical event backbone calls for a professional who has handled partition design, replication, security, upgrades, reprocessing and failure recovery in production.
Apache Kafka projects can often be delivered remotely when environments, responsibilities and access procedures are well documented. On-site work can be valuable for regulated systems, complex migrations or cutovers involving several local teams. Language expectations should be agreed with technical and business stakeholders at the start.
Ask the Apache Kafka professional to explain a relevant architecture, including event contracts, partitioning, consumer recovery and monitoring. Request evidence of clear runbooks and testing for retries, duplicates, outages and schema changes. Practical reasoning matters more than familiarity with product terminology.
Apache Kafka Streams is useful when processing should stay close to Kafka topics and the application needs joins, transformations, windows or stateful aggregation. It can simplify event-driven services, but the specialist should still assess state storage, scaling, replay behaviour and whether another processing engine is more suitable.
A high-quality Apache Kafka implementation has explicit ownership for topics and schemas, suitable partitioning and controlled access. It also includes observability for lag and throughput, tested recovery procedures, safe deployment practices and a clear approach to duplicates, ordering and data retention.
The average hourly rate of freelancers in Switzerland who have used Apache Kafka in their recent projects is 100 €, which corresponds to a daily rate of about 804 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Apache Kafka in their recent projects, 100% hold at least a Bachelor's degree and 77% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Apache Kafka 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 Switzerland who have used Apache Kafka in their recent projects are English (100%), German (81%), and French (38%).
The most common industries among freelancers in Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Banking and Finance (81%), and Healthcare (50%).
The most common business areas among freelancers in Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (56%).
Main locations of FRATCH Experts, who have recently used Apache Kafka
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
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!
Philipp Thomaschewski
FRATCH CEO
