Caching Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Caching
Alexandru G.
Last position:
Principal Cloud DevOps Architect at BP
In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.
Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.
In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.
To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.
Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.
Achievements:
- Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
- Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
- Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
- Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
- Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
- Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
- Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
- Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
- Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
- Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
- Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
- Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
- Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
- Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.
Tech stack:
- Infrastructure as Code: Terraform, AWS CDK, Ansible.
- Containers: Kubernetes on EKS, AKS, Docker.
- Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
- Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
- Backend: Python with FastAPI, also Node.js with NestJS.
- Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
- CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
- Monitoring and Observability: Prometheus and Grafana.
- Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
- ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
- Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
- Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.
Luigi C.
Last position:
Senior Full Stack Developer at Almuc Advertising GmbH
- Applied modern JavaScript features, including ES6+ syntax, destructuring, modules, array methods, and asynchronous programming, to develop efficient and readable frontend code.
- Implemented frontend integration patterns for PHP and Laravel backend services, connecting React interfaces to REST APIs and handling structured JSON data.
- Developed interactive, functional component-based frontend applications using React Hooks, JavaScript, and TypeScript, alongside backend applications and RESTful APIs using Python, Django, Flask, and FastAPI, focusing on reusable components, modular architecture, maintainability, and efficient data processing.
- Maintained a dynamic portfolio platform using PHP, Laravel, Livewire, and MySQL, implementing end-to-end functionality across frontend interfaces, backend services, and database operations.
- Validated server-side request handling, routing, middleware, and form validation using Laravel features to support reliable application workflows and consistent data processing.
- Designed and managed relational database structures using MySQL and Laravel Eloquent ORM, implementing data models, relationships, database migrations, and efficient queries for content management.
- AI-powered applications integrating Large Language Models (LLMs) through external APIs and locally hosted models, exploring practical use cases for conversational AI, intelligent automation, and AI-assisted workflows.
- Built local AI applications and developer tools for running, configuring, and interacting with locally hosted language models, gaining experience with local inference, model integration, and privacy-conscious AI workflows.
- Explored Retrieval-Augmented Generation (RAG) approaches to combine language models with external knowledge sources, enabling context-aware responses based on relevant application data and retrieved information.
- Integrated AI services with backend APIs and application components, developing reusable modules for model communication, response processing, error handling, and data exchange.
Michael T.
Last position:
Senior Freelance Software Engineer — Enterprise Software & Data Projects
- Delivered backend systems, data processing solutions, and software integrations for enterprise business applications.
- Designed and implemented API-based services connecting internal platforms with external systems.
- Built automated processing workflows to handle large-scale structured business data.
- Improved application performance by 30–50% through database optimization, caching strategies, and backend refactoring.
- Reduced manual operational effort by 40–60% by automating repetitive workflows.
- Supported production environments through troubleshooting, monitoring improvements, and continuous optimization.
- Authored technical documentation and led knowledge-transfer sessions to support long-term maintainability.
Alois F.
Last position:
Software Architect / Backend Developer at GEO API
- Design and implementation of a Laravel backend API for provider-based geo search, feature details, boundary geometries and neighborhood detection.
- The API serves as a server-side proxy, cache and enrichment layer, protecting credentials for external geo services and persisting features, localizations, geometries, hierarchies and neighborhood relationships in MariaDB.
- Key areas included normalization of autocomplete and feature data, caching strategies for expensive boundary/polygon requests, spatial processing of GeoJSON and MultiPolygon geometries, as well as neighborhood detection using hierarchies, bounding box filters and topology checks.
- Additionally, separate production and diagnostic endpoints were created, along with status and error catalogs, discovery logging, a Docker development stack, API documentation, and unit and feature tests.
- Technologies: PHP 8.3, Laravel, REST API, geo data API, GeoJSON, MariaDB Spatial, Eloquent, Laravel Queues, PHPUnit, Mockery, Docker, Docker Compose, API design, geocoding, boundary data, spatial queries.
Keith H.
Last position:
Senior Technical Business Analyst / Requirements Engineer / Product Owner at Deutsche Post E-Post Solutions
- SBAM (Sendungsbasiert Auftragsmanagement System) is the core component responsible for splitting customer deliveries into individual letters based on contractual agreements (OLA/SLA).
- Transformation from proprietary host-based AS/400 applications to a modern stack using Java, PostgreSQL, Apache Kafka, MinIO S3, Red Hat OpenShift, Keycloak SSO, Salesforce and Angular Material GUI.
- Application design, solution architecture, use case specification and OLA/SLA concept for end customers.
- Conduct solution architecture/design and requirements engineering (elicitation, documentation, validation, negotiation and ongoing management) in Confluence, including UML/BPMN process models.
- Development and analysis according to Scrum using Jira and Confluence.
- Design user journeys and UI experience; wireframing with Balsamiq and Figma.
- Document requirements as user stories and epics in Jira; create stakeholder and technical design documents.
- Participate in end-to-end solution design, architecture and event-driven messaging design.
- Perform process modelling (UML/BPMN with Draw.io), application internal architecture design and ERM/SERM data modelling.
- Lead sprint planning, story refinement, estimation, retrospective and review meetings; deliver C-level management presentations on OLA/SLA and order management.
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Discover over 15,000 top freelancers
Statistics of experts using Caching
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
3.3 years (Germany: 3.2 years)
Positions per freelancer
7 (Germany: 9)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Energy
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
40% (Germany: 50%)
Doctorate
20% (Germany: 6%)
Certifications per freelancer
0 (Germany: 2)
Most common languages
German, English, Romanian
Speak two or more languages
83% (Germany: 94%)
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 Munich 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 Munich 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%)
- Automotive (33%)
- Energy (33%)
- Transportation (33%)
- Manufacturing (33%)
- Professional Services (33%)
- Advertising (17%)
- Agriculture (17%)
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 and people that need it. It reduces repeated database work, lowers latency, and helps applications handle traffic more smoothly. Caches can serve API responses, sessions, web assets, database queries, or computed results.
Where it is used
Caching appears in customer-facing products and internal systems across ecommerce, media, finance, SaaS, and mobility. Typical tasks include:
- Designing application, database, and HTTP cache layers
- Improving API response times and resilience
- Configuring browser caches, CDNs, and reverse proxies
- Managing sessions, tokens, and frequently read data
- Preventing stale or inconsistent results
Ecosystem and tooling
Redis and Memcached are common distributed cache systems, while Varnish, Nginx, and CDN services support HTTP and edge caching. Strong specialists also work with PostgreSQL, MySQL, document stores, message queues, Kubernetes, Docker, and cloud monitoring tools. They understand cache keys, TTLs, eviction policies, serialization, replication, and persistence.
When companies need expertise
Companies often bring in freelance specialists when a platform slows under load, database costs rise, or a new service needs a reliable performance strategy. Other triggers include migrating from local memory to a distributed cache, separating cache and source-of-truth data, or investigating inconsistent responses. In Munich, remote collaboration can suit international teams, while on-site work may help with complex infrastructure changes and workshops.
What good implementation requires
Caching is not simply adding Redis to an application. Professionals must decide what belongs in a cache, define invalidation rules, handle misses and failures, and protect sensitive data. They test warm and cold paths, measure real user impact, and document recovery behavior so performance gains do not compromise correctness.
How to assess specialists
Look for experts who can explain trade-offs between freshness, speed, memory use, and operational complexity. A strong professional connects cache behavior to application code, databases, networking, and observability rather than treating the cache as an isolated service. Ask for examples of cache invalidation, stampede prevention, rollout planning, and incident analysis. Clear communication in English or German can support collaboration with Munich-based teams.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Caching.
Caching keeps reusable data in a faster-access location so applications do less repeated work. Companies use it for API responses, database queries, sessions, web assets, computed results, and content delivered through a CDN.
Caching can reduce repeated reads before they reach a database, while additional database capacity addresses underlying storage or query limits. The right approach depends on access patterns, freshness requirements, and whether the workload is read-heavy or write-heavy.
A strong Caching specialist should understand application code, SQL and NoSQL databases, HTTP behavior, networking, cloud infrastructure, and observability. Experience with Redis, Memcached, CDNs, containers, and Kubernetes is useful when the cache spans several services.
The required depth depends on the risk and scope of the system. A simple application cache may need focused implementation skills, while distributed Caching across regions requires experience with invalidation, failover, consistency, capacity planning, and incident response.
Yes. Caching work is often suitable for remote collaboration because configuration, testing, monitoring, and documentation can be handled through shared development and infrastructure tools. On-site sessions in Munich can still help when teams need architecture workshops or coordinated production changes.
The main risks are stale data, incorrect invalidation, cache stampedes, uneven memory use, and failures that expose hidden dependencies. Caching can also create security issues if private data is stored under shared keys or returned to the wrong user.
Ask the specialist to explain cache keys, expiration, eviction, invalidation, failure handling, and observability in terms of your application. A capable Caching professional tests cold and warm paths, measures user impact, and shows how the system remains correct when the cache is empty or unavailable.
Redis is often chosen when teams need rich data structures, persistence options, or pub/sub features, while Memcached offers a simpler in-memory model. HTTP caching, reverse proxies, and CDNs solve different delivery problems, so the choice should follow the data, consistency, and deployment requirements.
The average hourly rate of freelancers in Munich, Germany who have used Caching 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 Munich, Germany who have used Caching in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Caching in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Munich, Germany who have used Caching in their recent projects are German (100%), English (83%), and Romanian (33%).
The most common industries among freelancers in Munich, Germany who have used Caching in their recent projects are Information Technology (100%), Automotive (33%), and Energy (33%).
The most common business areas among freelancers in Munich, Germany who have used Caching in their recent projects are Information Technology (100%), Product Development (100%), and Operations (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.
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Berlin Countries:
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FRATCH CEO
