Caching Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Caching
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.
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.
Christoph P.
Last position:
ICT DevSecOps Engineer at Abraxas Informatik AG
Reduced time-to-market by optimizing CI/CD pipelines. Employees without customer VM access can now deploy. Increased system stability and performance and reduced maintenance effort through systematic database cleanup. Restricted rights for Flyway migrations versus service users. Improved transparency and decision-making basis with enhanced Grafana dashboards for response times, optimized logging, and standardization with Loki. Reduced security risks by consistently applying security best practices such as removing the public schema in PostgreSQL, individual service user permissions, and Docker security context. Facilitated knowledge transfer and sustainable process improvements by creating process diagrams and implementing various concepts. Conducted code reviews across multiple repositories.
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.
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.
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 Caching
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Marketing, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
100%
Certifications per freelancer
1
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 Caching
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.
Caching 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%)
- Retail (67%)
- Banking and Finance (50%)
- Healthcare (50%)
- Professional Services (50%)
- Education (33%)
- Energy (33%)
- Media and Entertainment (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Enterprise data acceleration and high throughput
Modern web services and core transactional engines rely on high-performance data storage layers to reduce latency. Specialists structure tiered memory systems to alleviate pressure on persistent databases and reduce operational overhead. By holding frequently requested data in temporary memory, applications deliver sub-millisecond responses.
Core components and distributed memory tooling
Distributed in-memory engines form the foundation of high-concurrency systems across Swiss banking, logistics, and healthcare platforms.
- Redis and Dragonfly for distributed key-value stores and pub-sub patterns
- Memcached for flat, multi-threaded in-memory caching layers
- Varnish Cache and Nginx for edge acceleration and reverse proxying
- CloudFlare, Fastly, or AWS CloudFront for CDN edge computation
- Application-level caches like Hazelcast, Ehcache, or Caffeine
Edge delivery and HTTP acceleration layers
Edge proxies decouple web clients from backend application nodes. Professionals configure cache-control headers, stale-while-revalidate policies, and surrogate keys to safely store dynamic and static assets near end users. This architecture prevents backend saturation during traffic surges while preserving data freshness and protecting upstream systems.
Cache invalidation and architectural reliability
- Eviction strategies including LRU, LFU, and sliding window TTLs
- Cache-aside, read-through, and write-behind synchronization patterns
- Prevention of stampedes, thundering herds, and cache penetration
- Distributed invalidation using message buses and pub-sub pipelines
When enterprises require external technical expertise
Organizations bring in dedicated specialists when database bottlenecks cause service degradation or scaling costs spike. Freelance professionals audit system architectures, isolate cache churn, and resolve consistency failures. In Switzerland, organizations frequently hire specialists to optimize latency for distributed finance and cross-border commerce architectures.
Attributes of senior distributed memory specialists
Top specialists combine deep operating system knowledge with rigorous distributed systems practice. They analyze memory fragmentation, thread contention, and network transport bottlenecks. Furthermore, they implement comprehensive telemetry with Prometheus and Grafana to maintain complete visibility over hit ratios, evictions, and memory saturation limits.
Frequently asked questions
Questions about Caching? Start with the answers below.
A specialist designs scalable memory architectures, analyzes database pressure, and implements effective caching policies across application layers. They ensure data consistency, eliminate latency spikes, and optimize compute costs across private data centers and cloud platforms.
While Memcached excels at simple, multi-threaded in-memory storage, Redis delivers rich data structures, disk persistence, and native replication. When implementing a cache, Redis is selected for complex operations like geospatial queries or sorted sets, whereas Memcached is preferred for straightforward key-value workloads.
Professionals must master network protocols, Linux kernel tuning, and relational databases like PostgreSQL. Solid expertise in message brokers, containerization, and observability tooling is critical to verify the real-world impact of your distributed caching topology.
Senior professionals implement patterns such as cache-aside or event-driven invalidation via message buses to keep memory synchronized with source databases. They set deterministic time-to-live values and deploy mutex locks to eliminate thundering herd phenomena during evictions.
Production systems require senior talent with hands-on background in distributed systems and high-throughput environments. A strong background in distributed in-memory storage ensures the professional can prevent memory leaks, avoid data desynchronization, and manage automated failover safely.
Most Swiss client engagements follow a hybrid model where initial discovery and architecture alignment occur on-site, followed by autonomous remote delivery. Cross-cantonal and international specialists readily adapt to Swiss security protocols, working hours, and multi-language environments like English, German, and French.
Review the telemetry surrounding cache hit ratios, latency distribution graphs, and memory fragmentation rates under load. Robust architectures demonstrate clean fallback mechanisms when in-memory instances restart, preventing downstream databases from suffering cascading outages.
Swiss companies in the banking, insurance, and medical sectors must adhere to strict data residency and privacy rules. When deploying an enterprise cache, specialists configure secure encryption at rest and in transit while ensuring sensitive customer identifiers are masked or retained solely within domestic boundaries.
The average hourly rate of freelancers in Switzerland who have used Caching in their recent projects is 110 €, which corresponds to a daily rate of about 877 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Caching in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Caching in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Switzerland who have used Caching in their recent projects are English (100%), German (83%), and Spanish (33%).
The most common industries among freelancers in Switzerland who have used Caching in their recent projects are Information Technology (100%), Retail (67%), and Banking and Finance (50%).
The most common business areas among freelancers in Switzerland who have used Caching in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (50%).
Main locations of FRATCH Experts, who have recently used Caching
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
