Ehcache Experts in Germany
for faster Java systems, matched in minutes with vetted and available professionalsHire experts who design cache strategies, integrate Ehcache with Spring and Hibernate, and tune JVM-based applications for reliable performance. FRATCH finds a precise match quickly from vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Ehcache
Sabahattin K.
Last position:
Sole responsibility (design, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and fully functional. Backend with Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, and Testcontainers integration tests. Hosted in my own AWS account (ECS Fargate, ALB, ECR, IAM Least-Privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development fully AI-supported with Claude Code, including custom skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Ramzi A.
Last position:
Full Stack Java Developer at ISO Public Services GmbH
- Contributed to the development of an advanced RAG AI Chat application that integrates multiple LLM models, enabling users to seamlessly switch between models based on specific tasks. This improved the user experience by providing tailored, efficient solutions for various use cases, such as event scheduling, booking systems, and complex task management.
- Participated in designing and implementing a robust backend architecture using Spring AI, enabling advanced AI-driven capabilities like intelligent task automation, language processing, and contextual recommendations. Leveraged Spring AI Tools and Advisors to enhance the performance and decision-making of the AI models.
- Collaborated on the integration of vector databases to support embeddings, enhancing the app's ability to understand user queries and perform actions based on complex, real-time data inputs.
- Contributed to the development of a seamless, user-friendly front-end interface using React with TypeScript support, ensuring a modern, responsive, and scalable user experience across platforms.
- Assisted in implementing state management with Redux RTK for efficient data flow and real-time updates, optimizing the overall user experience in dynamic scenarios such as scheduling and task management.
- Partnered with stakeholders to define feature requirements, helping ensure that the app could scale to meet evolving business needs and integrate with other systems like calendar and email services. Worked alongside cross-functional teams, including data scientists and UI/UX designers, to fine-tune AI models and ensure alignment with project goals.
- Contributed to ensuring end-to-end system performance, security, and compliance by helping integrate authentication mechanisms, role-based access control, and secure communication protocols in both backend and frontend layers.
Technology Stack and Key Contributions:
- Java / Spring Boot / Spring AI: Developed backend services leveraging Spring AI for intelligent responses, task automation, and complex workflows.
- React / TypeScript: Built intuitive user interfaces with React and TypeScript, ensuring a smooth and scalable frontend.
- Redux RTK: Managed application state with Redux RTK for optimized state management, enabling dynamic, real-time data updates.
- Vector Databases: Integrated vector databases (pgVector) for embedding support, improving AI model performance in handling complex queries.
- PostgreSQL / Redis: Managed persistent and temporary data with relational and in-memory data stores, ensuring data integrity and speed.
- Kafka: Utilized Apache Kafka for event-driven communication and seamless integration between microservices.
- Spring Security: Ensured the security of backend services with robust authentication and authorization mechanisms.
- CI/CD & DevOps: Integrated continuous integration and deployment pipelines to ensure rapid and secure deployment of features and updates.
Hooman B.
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Louis N.
Last position:
Specialist in Adobe Experience Manager & Microservices at Nguenkam Consulting & Engineering
Java 11/21
Springboot
Swagger/OpenApi
Azure Pipelines
Trivy Integration
Apache Sling
OSGI
Java Content Repository (JCR)
Apache Jackrabbit Oak
Adobe HTL
GraphQL
Maven
GitLab
IntelliJ
Azure Cloud
Azure DevOps
Terraform
AEM specialist in the Scrum team
Development and deployment of microservices via Open API interfaces
Operation of microservices in the Azure Cloud
Implementation of AEM modules and integration with microservices
Member of the knowledge transfer team and a backend coordination team
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Henning P.
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Discover over 15,000 top freelancers
Statistics of experts using Ehcache
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
1.9 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Human Resources, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
60%
Certifications per freelancer
2
Most common languages
German, English, French
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 Germany 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 Germany using Ehcache
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.
Ehcache 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 (57%)
- Telecommunication (57%)
- Energy (43%)
- Government and Administration (43%)
- Tourism (43%)
- Automotive (29%)
- Insurance (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Ehcache does
Ehcache is an open-source, Java-based caching library that stores frequently used data closer to an application. It reduces repeated database queries, remote calls and object reconstruction in systems where response time and backend capacity matter. Teams use it for application data, query results, session information and other reusable objects.
Core architecture
Ehcache supports in-memory caching and disk-based storage, with configurable tiers and eviction policies. Its modern 3.x API uses cache managers, typed keys and values, expiry policies, serializers and persistence options. Specialists also work with Ehcache 2 in established applications, where XML configuration and legacy APIs remain part of the delivery context.
Java ecosystem
Ehcache commonly appears alongside Java, Spring, Hibernate and Jakarta-based applications. Strong knowledge may include Spring cache abstraction, Hibernate second-level caching, Maven or Gradle builds, JPA, JVM memory behavior and distributed application design. Depending on the system, professionals assess Terracotta clustering, clustered caching and integration with existing application servers.
Typical delivery work
- Select cacheable data and define expiry, size and eviction rules
- Migrate Ehcache 2 configurations or APIs toward Ehcache 3
- Integrate caching with Spring, Hibernate or custom Java services
- Diagnose stale data, cache misses, memory pressure and serialization errors
- Add monitoring, load tests and operational runbooks
When expertise matters
Companies bring in freelance Ehcache specialists when a Java application has slow read paths, excessive database load or unpredictable latency. They may also need support during a framework upgrade, a migration from legacy caching, or the introduction of clustered application instances. In Germany, remote work is often practical for configuration, testing and reviews, while on-site collaboration can help with regulated or tightly controlled enterprise environments.
What good looks like
A strong professional connects cache behavior to business data and system design instead of treating caching as a quick configuration change. They define invalidation rules, verify consistency expectations and measure hit rates, latency and resource use under realistic load. They also document failure behavior and make clear when Ehcache is preferable to alternatives such as Caffeine, Redis or a database-side cache.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Ehcache.
Ehcache is used to cache frequently accessed objects, query results, sessions and other data so applications make fewer database or remote-service calls. It is common in Java systems where lower latency and reduced backend load are important.
Ehcache is a strong fit for embedded caching inside Java applications and supports configurable memory and disk tiers. Caffeine is often chosen for a highly optimized local cache, while Redis is better suited to a shared cache accessed by multiple services or application instances.
A strong Ehcache specialist usually understands Java, JVM memory behavior, Spring, Hibernate, JPA and database performance. Knowledge of serialization, observability, distributed systems and build tools such as Maven or Gradle is also valuable.
The required background depends on the scope. A configuration change may need focused application knowledge, while a migration, clustered setup or consistency redesign calls for a professional who has diagnosed production cache behavior and understands the surrounding Java architecture.
Yes, many Ehcache tasks can be handled remotely through repository access, technical workshops, test environments and monitoring data. On-site work may be useful when security controls, internal infrastructure or close coordination with a German enterprise team require physical presence.
Ask how the specialist would choose cacheable data, set expiry rules and handle invalidation or stale values. A capable Ehcache professional should explain trade-offs clearly, inspect application and database behavior, and validate changes with realistic load tests and monitoring.
Ehcache may be unsuitable when several independent services need one shared, centrally managed cache or when cross-instance consistency is the main requirement. In those cases, a remote cache such as Redis may fit better; a specialist should evaluate network cost, failure behavior and data ownership first.
Moving from Ehcache 2 to Ehcache 3 can expose differences in APIs, XML configuration, serializers, expiry handling and persistence behavior. A careful professional inventories existing cache usage, tests invalidation and restart scenarios, and verifies that Hibernate or Spring integrations behave as intended.
The average hourly rate of freelancers in Germany who have used Ehcache in their recent projects is 94 €, which corresponds to a daily rate of about 752 € based on an 8-hour working day.
Of the freelancers in Germany who have used Ehcache in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Germany who have used Ehcache in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Ehcache in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Germany who have used Ehcache in their recent projects are Information Technology (100%), Banking and Finance (57%), and Telecommunication (57%).
The most common business areas among freelancers in Germany who have used Ehcache in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (71%).
Main locations of FRATCH Experts, who have recently used Ehcache
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
