Redis Experts in Zurich
for fast data access, caching and real-time systemsHire experts who design resilient caching layers, session stores, queues and real-time data services with Redis, Redis Cluster and Streams. Get precisely matched with vetted, available freelancers who can join your project quickly.
Meet FRATCH Experts in Zurich, who have recently used Redis
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
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
Peter S.
Last position:
Web Application Developer PHP / WordPress Plugin Development at Gemeinde Bauma
- Analysis, consulting, and development of a WordPress application for the digital processing and delivery of the Bauma chronicle archive
Matthias I.
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.
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
Alejandro A.
Last position:
AI Researcher & Engineer at Tufa Labs
- Deployed and optimized the inference stack on a multi-node DGX B200 cluster across vLLM and SGLang (serving, throughput and latency tuning).
- Built, with a small team, an internal Python library for LM pretraining covering the full training loop: distributed training with PyTorch FSDP, data pipelines, checkpointing, config and hyperparameter management, and experiment tracking.
- Built and evaluated agent scaffolds on interactive game benchmarks similar to ARC-AGI-3, with metrics for how models plan, explore and adapt across multi-step episodes; classified model errors and fed the findings back into scaffold and evaluation design.
- Researched looped transformer 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
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.
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
Discover over 15,000 top freelancers
Statistics of experts using Redis
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
75%
Doctorate
25%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Redis 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 (90%)
- Education (60%)
- Professional Services (50%)
- Healthcare (40%)
- Retail (40%)
- Energy (30%)
- Manufacturing (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Redis does
Redis is an in-memory data store used when applications need fast access to frequently changing data. It supports key-value structures such as strings, hashes, lists, sets and sorted sets, while also offering persistence for suitable workloads. Companies use it for caching, sessions, queues, rate limiting and real-time features.
Where it fits
Redis sits beside application databases and services rather than replacing every system of record. It reduces repeated database work, coordinates distributed processes and makes live data available to web, mobile and backend applications. Common deployments include commerce, finance, media, logistics and SaaS products.
- Application and database caching
- Session storage and authentication flows
- Queues, locks and rate limiting
- Leaderboards, counters and live dashboards
Ecosystem and tooling
Strong Redis work connects data design with the surrounding application stack. Specialists work with Redis Cluster, Sentinel, persistence settings, replication and Redis Streams, as well as client libraries for languages such as Java, Python, JavaScript, Go and PHP. They also use Docker, Kubernetes, Terraform and observability tools when Redis runs as part of a larger platform.
When expertise matters
Companies bring in freelance Redis expertise when an existing cache is unreliable, database load is rising or real-time workflows need clearer coordination. A specialist can review key design, expiration policies, memory usage, eviction behavior and failure handling. They can also plan migrations, tune production settings and document operational runbooks.
- Investigate cache misses and latency patterns
- Design safe invalidation and expiration strategies
- Prepare high-availability or clustered deployments
- Connect Streams or queues to event-driven services
What strong specialists deliver
A strong professional starts with access patterns, consistency needs and failure scenarios instead of adding Redis by default. They distinguish cache data from durable business data, choose suitable structures and define ownership for keys. Their deliverables may include an architecture review, tested configuration, integration changes, dashboards and recovery procedures.
Collaboration in Zurich
Redis projects in Zurich may involve financial services, insurance, commerce, transport or software products, often alongside cloud and distributed-systems work. Remote collaboration can work well when access, observability and release responsibilities are clear; on-site workshops may help with architecture or incident reviews. Clear technical English is common, with German useful for local stakeholder communication.
Frequently asked questions
Before you brief your next project: the most common questions about Redis.
Redis is commonly used for caching, session storage, counters, rate limiting, queues and real-time feeds. It can also support leaderboards, distributed locks and event processing through features such as Streams.
Redis keeps active data in memory and provides data structures optimized for fast access, while relational databases focus on durable records, relationships and transactional querying. It often complements systems such as PostgreSQL or MySQL rather than replacing them.
Redis offers richer data structures, persistence options, replication and features for queues or streams. Memcached can be a simpler choice for straightforward, disposable caching, so the decision depends on durability, coordination and operational requirements.
A strong Redis specialist should understand application architecture, database behavior, networking and cloud operations. Experience with Docker, Kubernetes, observability, one or more application languages and distributed-systems failure modes is also valuable.
The right Redis experience depends on the risk and scope of the system. A simple application cache needs solid integration and key-management skills, while clustered production systems require proven knowledge of replication, persistence, failover, memory behavior and incident recovery.
Redis work can usually be handled remotely when the specialist has secure access to environments, metrics and deployment processes. Zurich teams may still prefer on-site sessions for architecture decisions, incident reviews or coordination with regulated business stakeholders.
Ask a Redis specialist to explain key design, expiration, invalidation, memory limits and behavior during node or network failures. Strong professionals connect technical choices to consistency and recovery requirements, provide measurable tests and document how the service will be operated.
Before working with Redis, clarify whether it is a cache, a durable data store, a queue or part of an event pipeline. Also confirm the client library, deployment model, persistence expectations, access patterns, monitoring setup and who owns production changes.
The average hourly rate of freelancers in Zurich, Switzerland who have used Redis in their recent projects is 103 €, which corresponds to a daily rate of about 820 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Redis in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Redis in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Zurich, Switzerland who have used Redis in their recent projects are English (100%), German (80%), and Spanish (40%).
The most common industries among freelancers in Zurich, Switzerland who have used Redis in their recent projects are Information Technology (100%), Banking and Finance (90%), and Education (60%).
The most common business areas among freelancers in Zurich, Switzerland who have used Redis in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (70%).
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
