Jakarta Persistence (JPA) Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Jakarta Persistence (JPA)
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the GHCR image; open-core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ
Tamás Eppel
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Marcus Biel
Last position:
Java Cloud Expert at Unknown
- Modernized and modularized a legacy monolith to enable independent team workflows
- Migrated from Java 8 to Java 21 and from Spring Boot 2 to Spring Boot 3.3
- Simplified Maven project structure, reducing build time from 15 minutes to 50 seconds
- Converting architecture to a hexagonal DDD architecture with end-to-end integration tests using RestAssured and JUnit 5
- Tools and technologies: Java 8-22, Spring Boot, Mockito, AssertJ, RestAssured, Hibernate, OracleDB, Flyway, REST, JSON, Docker, Kubernetes, AWS, Bitbucket, GitHub, SonarQube, IntelliJ IDEA Ultimate
Alexander Schwartz
Last position:
Founder and Full-Stack Developer at TrumpPostAlert.com
- Feasibility study for quick implementation of requirements with AI-based development (vibe coding)
- Development of a single-page web app in Angular 20
- Development of a backend server application in Kotlin
- Integration with Google Cloud Platform (Firebase): authentication, Firestore NoSQL database, storage, Cloud Functions, hosting and Cloud Run
- Integration with a NEON PostgreSQL database
- Automated AI-based analysis of Donald Trump's posts on Truth Social and analysis of relevance for stock markets and geopolitical topics
- CI/CD via GitHub Actions using Docker and Google Cloud Run
- Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Enis Spahi
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
György Kelemen
Last position:
Senior Fullstack Developer at Rockstardevelopers GmbH
- Development of a test system
- Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
- Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
- Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
- Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
Mani Yazdi
Last position:
Full-Stack Developer at Continentale Krankenversicherung a. G.
- Set up the new digitization strategy.
- Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
- In close cooperation with the business department, the individual processes are created and put into production.
- Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
- Gradual migration of old code from IBM WebSphere to JBoss.
- Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.
Abhijit Ingle
Last position:
Lead Backend Developer and Architect at Gloresoft GmbH
I have worked across multiple international client projects, holding senior roles including Software Architect, Senior Software Developer, Technical Lead, and Lead Backend & DevOps Engineer. My experience spans complex enterprise environments in banking, financial services, telecommunications, engineering, and automotive domains, supporting organisations such as UniCredit Bank, Telefónica O2, and BMW.
At UniCredit Bank, within the Securities Domain Transformation program, I led the modernisation of legacy monolithic systems into cloud-native Spring Boot microservices and an Angular frontend deployed on Google Cloud Platform. Beyond implementation, I was responsible for defining the target architecture, producing system architecture diagrams and sequence diagrams, and preparing API contract documentation for clients. I designed RESTful APIs and integrated Apigee for secure and reusable cross-project service consumption of APIs. I architected Kubernetes-based deployments using Helm. CI/CD pipelines were built with Jenkins, automating code analysis using Sonar, as well as testing and deployment stages. Defining clean coding principles for the project, conducting regular code reviews, and mentoring junior developers were also among my tasks at UniCredit.
At Telefónica O2, I led the transformation of a legacy call centre desktop application into a cloud-native microservices and micro-frontend solution. I actively contributed to the platform architecture, creating system architecture diagrams, component diagrams, architecture documentation, and ADRs for future references. I improved the performance and scalability of the services. I optimised AWS infrastructure costs, particularly by minimising the use of DynamoDB and reusing test environments effectively. Observability was implemented using Prometheus, Grafana, CloudWatch, and Splunk dashboards. CI/CD pipelines were delivered using GitLab, Docker, Kubernetes, and AWS. Conducted techinical sessions for teams.
Syamala Himabindu
Last position:
Fullstack Developer at BLG Logistics Group
As part of developing this project, various apps were developed for an IBM portal environment based on portlets and Spring Boot services, as well as the setup of a BI platform based on QlikView
Full-stack development of applications, technical analysis, refinement of requirements with the business department, coordination with the customer, DevOps
Team size: 8 people
Technology: Java 11.0, Maven, Git, Spring, Hibernate, JUNIT, Mockito, React, Jira, SQL, Spring Boot, CD/CI Jenkins, Kanban, Rest Api, Oracle
Environment: Eclipse, IBM Rational Application Developer
Frederik Claus
Last position:
Freelance Fullstack Software Developer at Bundesdruckerei GmbH
Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)
Implementation of user stories in multiple microservices (front- and backend)
Ensuring quality with unit, integration, and end-to-end tests
Conducting code reviews
Coordination with other development teams
Taking over software license checks and simplifying the process
Responsible for implementing and documenting domain logging
Setting up a development environment with Docker Compose
Christian Stellwag
Last position:
Senior Java Developer at Freelance
- Numerous projects as a Senior Java Developer or Team Lead in the technical domain, banking sector, public sector, etc. Please ask for a detailed project list. My contact: office(at)stellwag.it
Bela Bocsak
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Michael Pförringer
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 20 years)
Position duration
2.4 years (Germany: 2.1 years)
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
73% (Germany: 53%)
Doctorate
13% (Germany: 11%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Hungarian
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Jakarta Persistence (JPA)
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What JPA covers
Jakarta Persistence (JPA) defines how Java applications map objects to relational data. It is used in business systems that need stable persistence, clear domain models, and controlled database access. Teams often search for JPA when they need a clean data layer in Spring-based services or classic Jakarta EE applications.
Common deliverables
- Entity models and mapping rules
- Repository and query design
- Transaction handling and lazy loading fixes
- Schema alignment with existing databases
- Performance checks around joins and fetch plans
Ecosystem around JPA
Strong specialists know the API and the tools that sit around it. Hibernate is the most common implementation, while EclipseLink and other providers still appear in enterprise setups. They also work with JPQL, Criteria API, annotations, and migration tools that keep persistence code predictable.
When companies bring in help
Companies usually need outside expertise when persistence code has become hard to change, queries are slow, or a new service must share an old database safely. In Munich, this often comes up in enterprise software, mobility, finance, industrial, and insurance environments, where Java systems must stay stable and well documented.
What strong specialists do well
A good JPA professional keeps the domain model simple and avoids hidden database surprises. They understand fetch strategies, cascade rules, locking, and how to read generated SQL. They also spot when JPA is a good fit and when a query needs a more direct approach.
Working with your team
JPA work is often done with Java, Spring Boot, SQL, and database tooling. A strong freelancer can join remotely, review existing mappings, and work with your team on naming, migration, and testing conventions. For Munich-based teams, clear communication in English is often enough, with German helpful for local coordination.
Frequently asked questions
Not sure where to start with Jakarta Persistence (JPA)? These answers cover the essentials.
Jakarta Persistence (JPA) is used to map Java objects to relational databases in a controlled way. It helps teams build maintainable persistence layers for enterprise applications, internal tools, and service back ends. Most projects use it to keep business code separate from SQL-heavy data access code.
JPA gives you an object model, mapping rules, and transaction support, while JDBC and plain SQL stay closer to the database. That makes JPA easier for domain-driven Java systems, but direct SQL can still be better for very specific queries or tight performance tuning. Strong specialists know when to stay inside JPA and when to step outside it.
JPA is a specification, not a single product. Hibernate is the most common implementation people mean when they talk about JPA work, but EclipseLink and other providers also exist. When you hire, check whether the project uses the JPA API itself, Hibernate-specific features, or both.
A strong Jakarta Persistence (JPA) specialist usually works comfortably with Java, SQL, Spring Boot, and database design. They should also understand transactions, indexing, migration tooling, and test setup for persistence code. If the system is large, experience with query tuning and ORM debugging matters a lot.
Jakarta Persistence projects often need outside help once mappings, queries, and transactions start causing bugs or slow releases. That can happen in a greenfield service, but it is more common in older systems with complex tables or shared schemas. If the team is unsure about lazy loading, cascade behavior, or locking, it is a good time to bring in a specialist.
Yes, JPA work is often done remotely because the core tasks are code, schema, and query focused. For Munich teams, remote collaboration usually works well if the specialist can join reviews, explain persistence choices clearly, and work in your time zone. On-site time can still help during database redesign or migration workshops.
Look for someone who can explain the generated SQL, not just the entity annotations. A strong Jakarta Persistence (JPA) expert writes simple mappings, avoids overusing cascade rules, and tests transaction boundaries and fetch behavior. They should also be able to show where they reduced query count or removed fragile persistence logic.
A common mistake with JPA is treating it like a magic layer and ignoring the database underneath. That leads to slow queries, hidden joins, and hard-to-debug loading issues. Another mistake is mixing domain rules, persistence rules, and API models in the same classes.
The average hourly rate of freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects is 93 €, which corresponds to a daily rate of about 747 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (95%), and Hungarian (15%).
The most common industries among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Banking and Finance (85%), and Automotive (60%).
The most common business areas among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (60%).
Main locations of FRATCH Experts, who have recently used Jakarta Persistence (JPA)
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.
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