Caching Expert
to speed up critical systems with vetted, available freelancersHire experts who design cache strategies, optimize Redis and Memcached deployments, and improve response times across web applications and distributed services. Get fast, precise matching with vetted, available freelancers who fit your technical requirements.
Meet FRATCH Experts who have recently used Caching
Jens H.
Last position:
Interim CTO (occasional assignments) at Fujitsu / FSAS
Stabilization of an Azure/.NET landscape in live operation.
- Architecture, DevOps, and operational readiness; technical decisions under time pressure
- Azure DevOps, monitoring, ETL/ELT, cloud security, FinOps, and data-mesh-related topics
Technologies: Azure DevOps, .NET, CI/CD, monitoring, FinOps
Adrian K.
Last position:
Senior Advisor, Process Governance & Transformation at MOIA GmbH
- Ran a group-wide steering committee to set strategic direction for a turnaround program. Planned delivery to secure go-to-market and investor milestones
- Prepared the project structure and supplier management process for an ACQ.4 Automotive SPICE audit. Built dry runs and compiled evidence with the team, resulting in a successful CL2 assessment
- Synchronized Automotive SPICE activities with the organization's SAFe rollout by screening base practices and agile artifacts for overlap. Avoided approximately 30% duplicate effort
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Abdulla A.
Last position:
Principal AI Product Consultant at Recare
- Shipped Recare Voice Desktop from 0 to 1 in two months, including multi-language clinical documentation that auto-transcribes into structured German medical notes.
- Reduced LLM inference costs by 60–70% across Docs and Extract through prompt caching architecture.
- Built the AI workbench used by PMs/engineers for prompt experimentation and the Langfuse eval stack (10k+ traces evaluated).
Imran A.
Last position:
Software Engineer II at LivePerson Germany GmbH
- Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
- Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
- Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
- Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
- Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
- Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.
Julius H.
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
Patrick D.
Last position:
Fullstack Developer
- SPA for automated communication of medical findings with role-based access (Sanctum)
- Server-side LLM integration (OpenRouter) with structured processing
- Automated sending via SMS/voice call (Twilio, ElevenLabs) with queue + status retry
- Full test coverage with 80+ documented test cases
Technologies: PHP, Laravel, LLM API (OpenRouter), Twilio, ElevenLabs, Laravel Sanctum, PHPUnit, Playwright, Docker, REST
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Bora D.
Last position:
Software Architect at DZ HYP AG
- Lead architect for an enterprise loan digitisation programme, coordinating 12 engineers across five workstreams and serving as final technical authority on system design.
- Cut critical application response times by 68% (display 17.3s → 5.6s; modification 11.8s → 5.0s) through targeted caching, OData query optimisation and lazy-loading refactoring; further optimisation in progress.
- Own production error triage, prioritisation and resolution across a multi-application portfolio supporting live lending operations.
- Design and implement SAP Fiori applications on SAP UI5, TypeScript and RAP, owning delivery from architecture and code through rollout and production support.
- Established C4 architecture documentation and decision records for the full programme, enabling faster onboarding and consistent cross-workstream design governance.
- Co-managed S/4HANA release cycle alongside primary responsibilities, coordinating directly with SAP support to resolve critical system issues across the portfolio.
Samuel K.
Last position:
Founder & Agentic AI Engineer at Agentakt LLC
Independent engineering practice focused on custom AI systems, production delivery, and fractional technical leadership.
Selected client engagement: Scalutions
Role: Serve as fractional CTO and hands-on technical lead, responsible for the architecture and agentic infrastructure behind its managed B2B outbound operation.
Product: Designed and built OutboundLoop, an agentic SDR operating system for research, qualification, personalized outreach, campaign management, human approvals, measurement, and continuous improvement.
Scope: Own the full system lifecycle—from business processes and agent behavior to context design, model routing, integrations, evaluation, telemetry, reliability, cost control, and production operations.
Stephan G.
Last position:
Senior Backend Software Developer at Mercedes-Benz Tech Innovations
- Further development and operation of a central backend service for providing vehicle inventory for international Mercedes-Benz online shops
- Further development of a reservation service for vehicles as part of the checkout process
- Design and implementation of a highly scalable end-to-end test architecture with a focus on maintainability, reusability, and a high number of automated test cases
- Development of a multi-layer test infrastructure with a strict separation of test logic and access layers
- Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
- Development of an AI-supported review architecture for automated evaluation and quality assurance of end-to-end tests
- Development of a dashboard for consolidated display of a vehicle context across multiple backend systems, including AI-generated summaries and compact case analyses
- Integration and further development of connections to various reservation systems via Apache Kafka and REST
- Design of new microservices and support with architecture decisions
- Risk analysis and design of microservice migrations
- Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, Github, Confluence, CI/CD, Microservices, AI, LLMs
Hamza K.
Last position:
Academic Research Contributor in Health Sector (Volunteer) at n/a
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Martin H.
Last position:
Software Architect at Hays AG
- C# development .Net 8.0
- Technical responsibility for architecture decisions (DDD, Clean Architecture, Microservices)
- Introduction and systematic evaluation of GitHub Copilot, analysis of efficiency benefits, identification of suitable application scenarios, assessment of code quality
- Development of best practices for using Copilot within the team, support during rollout and coaching of individual developers
- Conducting code reviews, architecture documentation according to Arc42
- Building stable CI/CD pipelines with Azure DevOps, introduction of automated quality assurance with SonarQube and .editorconfig
- Collaboration with stakeholders to continuously optimize technical concepts
- Technologies used: Azure Devops Server, Git, Sonarqube, Visual Studio 2022, Sparx EA 17, Nagios LS, Nagios XI, C#, Resharper 2.24.3, Clean Architecture, DDD, EF-Core, Arc24, Microservices, Angular, MediatR, SignalR, Copilot, OpenAI
Discover over 15,000 top freelancers
Statistics of experts using Caching
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
3.2 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91%
Master's degree or higher
49%
Doctorate
6%
Certifications per freelancer
2
Most common languages
English, German, Hindi
Speak two or more languages
94%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 5 Nov 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 (97%)
- Banking and Finance (46%)
- Healthcare (35%)
- Retail (35%)
- Automotive (30%)
- Education (27%)
- Manufacturing (27%)
- Professional Services (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Caching Does
Caching stores frequently requested data closer to the systems that need it. Applications can reuse cached results instead of repeatedly querying a database, calling an external service, or rebuilding the same response. This reduces latency, protects backend resources, and helps services handle changing demand more smoothly.
Where It Fits
Caching appears across web platforms, APIs, mobile backends, content delivery systems, analytics tools, and high-traffic transactional services. It can hold database queries, rendered pages, API responses, sessions, configuration data, images, or computed results.
- Accelerate read-heavy web applications
- Reduce load on relational and NoSQL databases
- Improve API response times
- Support distributed services and event-driven systems
Ecosystem And Tools
Strong caching specialists work with Redis, Memcached, Varnish, CDN edge caches, and application-level caching libraries. They understand cache-aside, read-through, write-through, and write-behind patterns, along with TTLs, eviction policies, serialization, replication, clustering, and persistence. They also connect caching decisions to frameworks, databases, containers, and cloud infrastructure.
When Expertise Helps
Companies often bring in freelance professionals when an application slows under load, database costs rise, or a new distributed architecture needs a reliable data-access layer. Expertise is also useful during migrations from local memory to shared caching, Redis cluster design, CDN configuration, or investigations into stale and inconsistent data.
- Define cache keys and invalidation rules
- Diagnose hit rates, misses, evictions, and memory pressure
- Plan failover, replication, and regional distribution
- Measure real user impact without hiding backend failures
Reliable Cache Design
Caching is not simply a matter of adding Redis or Memcached. A sound design defines freshness guarantees, ownership of invalidation, behavior during outages, and protection against stampedes or hot keys. The right strategy depends on data volatility, consistency needs, traffic patterns, privacy requirements, and the cost of the underlying operation.
Choosing A Specialist
Look for a professional who can explain why a cache belongs at a specific layer and how the application behaves on a miss. Strong specialists inspect traces, database plans, memory usage, and production failure modes rather than relying on a single hit-rate target. They document key formats, expiry rules, operational safeguards, and tests for stale or missing data.
Frequently asked questions
What clients ask us most about Caching — answered in short.
Caching is used to keep reusable data in a faster storage layer, so applications avoid repeating expensive work. Common examples include database results, API responses, sessions, rendered content, and files served through a CDN.
Redis offers richer data structures, persistence options, replication, and atomic operations, while Memcached focuses on a simple distributed key-value cache. The better choice depends on the required data model, durability, operational setup, and tolerance for losing cached values.
A strong Caching specialist usually understands databases, HTTP behavior, application frameworks, observability, networking, and cloud infrastructure. Experience with Redis, Memcached, CDNs, containers, and distributed-system failure modes is valuable when the cache spans several services.
The required depth depends on the risk and scale of the system, not on a fixed tenure. A professional handling a small application may need solid application-level caching knowledge, while a distributed platform needs proven skill with invalidation, replication, failover, hot keys, and production diagnostics.
Caching work is often suitable for remote collaboration because architecture, configuration, traces, dashboards, and test results can be reviewed digitally. Clear access controls, reproducible environments, written invalidation rules, and coordinated release windows matter more than physical presence.
Ask the specialist to explain cache keys, expiry, invalidation, miss behavior, and failure recovery in concrete terms. Good Caching work improves user-facing latency without concealing database problems, creating unsafe stale data, or making incidents harder to diagnose.
Caching may be the wrong solution when data changes constantly, consistency is strict, or the underlying operation is already cheap. A specialist should first identify the bottleneck and consider query tuning, indexing, batching, pagination, connection management, or architectural changes.
A Caching engagement can include an architecture proposal, key and TTL design, Redis or Memcached configuration, instrumentation, load tests, rollout steps, and operational documentation. The final handover should describe invalidation ownership, failure behavior, alerts, capacity limits, and safe rollback procedures.
The average hourly rate of freelancers who have used Caching in their recent projects is 84 €, which corresponds to a daily rate of about 674 € based on an 8-hour working day.
Of the freelancers who have used Caching in their recent projects, 91% hold at least a Bachelor's degree, 49% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers who have used Caching in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers who have used Caching in their recent projects are English (96%), German (93%), and Hindi (8%).
The most common industries among freelancers who have used Caching in their recent projects are Information Technology (97%), Banking and Finance (46%), and Healthcare (35%).
The most common business areas among freelancers who have used Caching in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (52%).
Main locations of FRATCH Experts, who have recently used Caching
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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Philipp Thomaschewski
FRATCH CEO
