Redis Experts in Switzerland
matched in minutes with the power of AIWork with specialists who architect low-latency caching layers, distributed pub/sub messaging, and high-throughput data stores, matched precisely from vetted, available freelancers.
Meet FRATCH Experts in Switzerland, 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
Malik O.
Last position:
AI Scientist at SQPS
- Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
- Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
- Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL
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.
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.
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.
Ned O.
Last position:
Tech Lead at R3leaf GmbH
- Autonomously drafted architecture and delivered production code at startup pace
- Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
- Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership
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
20 years
Position duration
1.9 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, Product Development, Production
Bachelor's degree or higher
100%
Master's degree or higher
70%
Doctorate
30%
Certifications per freelancer
3
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 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 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 (77%)
- Education (69%)
- Healthcare (46%)
- Professional Services (46%)
- Retail (38%)
- Energy (31%)
- Manufacturing (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Low-Latency In-Memory Data Structures
Redis delivers sub-millisecond data access by holding primary working sets in memory. Systems rely on the Remote Dictionary Server for real-time leaderboards, rate limiting, distributed session management, and ephemeral caching. Its native data structures handle operational workloads that traditional relational engines cannot serve efficiently.
Core Ecosystem and Operational Tooling
Modern deployments integrate standalone instances, Redis Sentinel for automated failover, and Redis Cluster for horizontal sharding. Specialists work with client libraries such as Jedis, Lettuce, StackExchange.Redis, and go-redis, alongside management tools like Redis Insight and managed cloud offerings like AWS ElastiCache.
Typical Project Engagements
- Designing multi-tier caching architectures to alleviate primary database bottlenecks
- Implementing streaming pipelines with Redis Streams and consumer groups
- Establishing high-availability clusters with automated Sentinel failover
- Configuring persistence models using RDB snapshots and append-only files (AOF)
Swiss Enterprise Infrastructure Context
Organizations across Zurich, Geneva, and Basel rely on memory-first architectures to accelerate core transactional systems. Financial services, trade logistics, and pharmaceutical platforms require strict operational resilience. Specialists balance memory constraints, regulatory data handling requirements, and fast failover recovery across multi-zone networks.
Indicators Demanding Dedicated Expertise
- Uncontrolled memory growth causing out-of-memory crashes and uneven eviction behavior
- Latency spikes triggered by blocking operations, large keys, or inefficient cluster sharding
- Replication lag and split-brain states across distributed nodes
- Cache stampedes degrading relational database performance during heavy traffic events
Qualities of Seasoned Professionals
True specialists understand Lua scripting, pipeline operations, and memory optimization down to exact memory allocation footprints. They evaluate trade-offs between memory eviction policies like allkeys-lru and volatile-ttl, configure persistence accurately, and prevent anti-patterns that block single-threaded event loops.
Frequently asked questions
Quick answers to the questions that come up most around Redis.
Organizations implement Redis to eliminate latency bottlenecks across high-volume applications. It functions as an in-memory cache, session store, streaming engine, and pub/sub broker for real-time state synchronization.
While Memcached handles basic key-value strings well, Redis offers advanced data structures such as hashes, sorted sets, bitmaps, and streams. It also provides built-in persistence, clustering, and replication, making it far more versatile for stateful workflows.
A seasoned Remote Dictionary Server specialist possesses deep knowledge of memory profiling, cluster orchestration, Sentinel topology, and persistence tuning. They should also demonstrate mastery in backend languages such as Go, Java, Python, or C#.
Projects scale to Redis Cluster when data size exceeds the memory capacity of a single physical node or write throughput demands horizontal partitioning. For workloads where the dataset fits on one machine, Sentinel provides high availability without cluster sharding complexity.
Top practitioners audit key namespaces to eliminate slow calls like KEYS or expensive Lua scripts in production Redis instances. They introduce non-blocking scanning alternatives like SCAN and manage heavy deletions asynchronously with UNLINK.
Most Redis professionals based in Switzerland work flexibly through hybrid or fully remote arrangements. On-site availability is often preferred during critical architecture workshops, disaster recovery simulations, or production cutover weekends.
English serves as the baseline technical language across Swiss technology teams working with Redis Enterprise and open-source distributions. Depending on the canton, German or French language proficiency is valuable for direct alignment with cross-functional business units.
Evaluate candidates on their understanding of Redis memory eviction policies, client-side caching mechanisms, and connection pooling. Ask them to diagnose real-world production incidents, such as identifying memory fragmentation and handling replication lag under sudden traffic surges.
The average hourly rate of freelancers in Switzerland who have used Redis in their recent projects is 101 €, which corresponds to a daily rate of about 808 € 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, 70% hold at least a Master's degree, and 30% hold a doctorate.
On average, freelancers in Switzerland who have used Redis in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Switzerland who have used Redis in their recent projects are English (100%), German (85%), and Spanish (38%).
The most common industries among freelancers in Switzerland who have used Redis in their recent projects are Information Technology (100%), Banking and Finance (77%), and Education (69%).
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 Project Management (62%).
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
