Redis Expert in Zurich
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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
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.
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
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.
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
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 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 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 29 Oct 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
In-memory data
Redis is an open-source, in-memory data store used for rapid reads and writes. Teams use it as a cache, primary data store for selected workloads, message broker and foundation for real-time features. Its simple data structures support responsive applications without forcing every request through a slower relational database.
Core capabilities
Redis supports strings, hashes, lists, sets, sorted sets, streams and geospatial data. Strong specialists choose the right structure, define key patterns and control expiration carefully. They also handle persistence options, transactions, Lua scripting, access control and memory management so speed does not come at the expense of reliability.
Ecosystem and tooling
Redis often sits beside PostgreSQL, MySQL, MongoDB, Kafka and cloud-native services. Experts work with Redis Cluster, Sentinel, Redis Streams, Pub/Sub and client libraries for Java, Python, JavaScript, Go and other languages. Monitoring commonly covers latency, hit ratios, memory use, evictions, replication and slow commands.
Where it fits
- Cache database queries, API responses and sessions
- Power leaderboards, counters, rate limits and queues
- Deliver notifications, chat updates and live dashboards
- Coordinate background work with streams and consumer groups
Redis is useful when an application needs predictable response times or frequent access to changing data. In Zurich, it can support financial services, commerce, mobility and digital products that combine transactional systems with responsive user experiences.
When to hire expertise
- A cache causes stale data, misses or unexpected load on the main database
- A growing workload needs clustering, replication or failover planning
- A team is introducing streams, queues, Pub/Sub or real-time workflows
- Memory pressure, latency spikes or evictions are difficult to explain
Freelance specialists are also valuable during migrations, incident reviews and performance work. Remote collaboration usually works well when documentation, observability and deployment access are clear; on-site sessions in Zurich can help with architecture workshops and handovers.
What strong specialists bring
Strong Redis professionals connect data design with application behavior. They can explain when Redis should complement a relational database and when another store is safer, then prove their choices through load tests, failure scenarios and operational metrics. They secure network access, protect sensitive values, plan persistence and document recovery procedures.
Look for evidence of production work with cache invalidation, key expiration, hot keys, replication and cluster topology. A good specialist also communicates trade-offs clearly, works comfortably across application and infrastructure boundaries, and leaves behind tested configuration, useful dashboards and maintainable code.
Frequently asked questions
Before you brief your next project: the most common questions about Redis.
Redis is commonly used for caching, session storage, rate limiting, queues, counters and real-time application features. It can also store selected application data when its in-memory model and durability options fit the workload.
Redis is optimized for very fast access to key-based data and compact data structures, while relational databases provide rich queries, joins and transactional durability. Many systems use both: Redis reduces repeated work, while the relational database remains the authoritative store.
Redis offers more than a basic cache, including lists, sets, sorted sets, streams, persistence and replication. Memcached can be a suitable simpler cache, but Redis is often preferable when an application needs richer data structures or messaging patterns.
A strong Redis specialist should understand application performance, database design, networking, observability and deployment automation. Experience with PostgreSQL or another primary database, container orchestration, cloud services and the relevant programming language is also valuable.
The right Redis professional depends on the risk and scope of the work, not a fixed career length. A cache configuration may need focused application expertise, while clustering, failover, migration or incident work calls for proven production operations and failure testing.
Redis work is often suitable for remote collaboration because configuration, monitoring and code changes can be reviewed securely online. For teams in Zurich, on-site workshops may still help with architecture decisions, incident response planning and knowledge transfer.
Ask a Redis specialist to explain key design, expiration, cache invalidation, persistence and failure recovery in terms of your workload. Strong professionals discuss trade-offs, test behavior under load, inspect observability data and document how the service should be operated.
Redis Cluster distributes data across nodes and supports horizontal scaling, while Redis Sentinel monitors instances and helps coordinate failover for replicated deployments. The appropriate choice depends on availability goals, data distribution needs, client support and operational complexity.
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 821 € 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
