Redis Experts in Switzerland
in minutes with vetted freelancers and precise AI matchingHire specialists who design Redis caches, build Redis Streams and Pub/Sub workflows, and tune persistence, replication, and failover for production systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Redis
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
Stefan Hess
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.
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
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
Milica Maričić
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
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 Redis
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.2 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Marketing
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
1
Most common languages
English, German, Spanish
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 Switzerland 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 Switzerland using Redis
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
Redis in practice
Redis is an in-memory data store used for cache layers, session state, rate limiting, queues, and real-time features. Companies use it when low-latency access matters and when the application needs fast reads, short-lived data, or simple event delivery.
Common use cases
- Cache API responses and database lookups
- Store sessions and user state
- Run counters, leaderboards, and rate limits
- Publish events with Pub/Sub or Redis Streams
- Support background work and coordination
What strong specialists deliver
Strong Redis professionals know data structures, eviction policies, persistence, replication, and clustering. They can choose between standalone Redis, Sentinel, and Redis Cluster, then shape keys, TTLs, and memory use so the system stays stable under load.
Ecosystem and tooling
Redis often sits beside Node.js, Java, Python, .NET, PostgreSQL, and message brokers. Specialists also work with client libraries, monitoring tools, and managed Redis services such as Redis Enterprise or cloud-hosted offerings. The right setup depends on latency goals and operational limits.
When companies bring in help
Teams usually seek Redis expertise when cache behavior is inconsistent, memory use grows too fast, or failover needs work. In Switzerland, this often comes up in finance, SaaS, retail, and logistics systems that need reliable performance across local and remote teams.
Hiring signals
A good Redis expert can explain data modeling choices, TTL strategy, persistence trade-offs, and how to test recovery. Look for people who have fixed hot keys, reduced cache misses, tuned connection handling, and documented operational runbooks for production support.
Frequently asked questions
Quick answers to the questions that come up most around Redis.
Redis is used for fast cache layers, session storage, distributed locks, counters, queues, and real-time data delivery. It helps when an application needs very low latency and simple data structures that are quick to read and write.
Redis is broader than Memcached because it supports rich data structures, persistence, replication, and streaming features. Compared with using a database as a cache, it usually gives lower latency and less pressure on the primary data store, but it needs careful memory and eviction planning.
A strong Redis specialist usually understands caching patterns, key design, TTL strategy, distributed systems, and observability. It also helps if they know the surrounding stack, such as PostgreSQL, Java, Python, Node.js, or .NET, so the integration is clean.
A simple Redis cache can be handled by someone who knows the basics of key expiry, client behavior, and common failure modes. Production setups with clustering, Sentinel, Streams, or heavy traffic need a deeper specialist who has handled operations and recovery before.
Bring in Redis expertise when cache misses are hurting response times, memory use is hard to control, or failover and replication are unclear. It also makes sense when the team is adding Pub/Sub, Streams, or rate limiting and wants the design reviewed before launch.
Most Redis work can be done remotely because the main tasks are design, code review, tuning, and incident analysis. On-site collaboration can help during architecture workshops or critical production changes, but it is rarely required for the whole engagement.
A good Redis freelancer explains trade-offs clearly and does not treat every issue as a caching issue. Look for practical signs such as solid key naming, sensible TTLs, clear memory limits, safe persistence choices, and a plan for monitoring and recovery.
Redis is the core data store, while Redis Stack adds modules and tools for search, JSON, time series, and more. Redis Enterprise is the commercial offering with additional operational features, so the right choice depends on whether you need the base server or a broader managed setup.
The average hourly rate of freelancers in Switzerland who have used Redis in their recent projects is 113 €, which corresponds to a daily rate of about 901 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Redis in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Redis in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Switzerland who have used Redis in their recent projects are English (100%), German (83%), and Spanish (33%).
The most common industries among freelancers in Switzerland who have used Redis in their recent projects are Information Technology (100%), Banking and Finance (83%), and Education (67%).
The most common business areas among freelancers in Switzerland who have used Redis in their recent projects are Information Technology (100%), Product Development (100%), and Marketing (50%).
Main locations of FRATCH Experts, who have recently used Redis
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.
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