
Jakarta Persistence (JPA) Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Jakarta Persistence (JPA)
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow 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 form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and 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, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Markus B.
Last position:
Developer / DevOps, Consulting at A state authority in Baden-Württemberg / FSAS Technologies GmbH
Oracle Project Management and Automation
As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.
The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.
- Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
- Development and enhancement of Puppet modules for Oracle environments
- Automation of installation, configuration and operational processes using Infrastructure as Code
- Standardization and optimization of configuration management for Oracle systems
- Creation and maintenance of technical and operational documentation
- Planning, coordination and professional support during project implementation
- Operation and automation of Oracle systems on x86-based Linux server platforms
- Testing and quality assurance of the developed Puppet modules
- Analysis and resolution of technical errors as part of the automation and migration
- Close coordination with specialist departments and infrastructure teams to implement automation requirements
Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass
Tamás E.
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
Vitaliy R.
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.
Christian T.
Last position:
HDI DevOps & Fullstack Engineer at HDI
- Spring Boot Software Engineer
- DevOps Engineer (Kubernetes, Azure DevOps)
Toolstack: Java, Spring Boot, Kubernetes, Helm, GitOps, ArgoCD, Docker, Azure DevOps, CI/CD Pipelines, Git, Postgres
Frederik C.
Last position:
Freelance Full-Stack 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 several microservices (frontend and backend)
Ensuring quality with unit, integration, and E2E tests
Conducting code reviews
Coordination with other development teams
Taking over the software license check and simplifying the process
Responsibility for implementing and documenting the business logging
Setting up a development environment with Docker Compose
Srinivasu K.
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
Enis S.
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 K.
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 Y.
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 I.
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 H.
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
Christian S.
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
Alexander S.
Last position:
Full-Stack Developer (Java/Kotlin/Angular) at Hypoport (Vergleich.de)
Further development of the vergleich.de website
Development of new and improvement of existing backend services as microservices
Deployment via TeamCity and GitHub Actions
Development of monitoring tools
Development of REST APIs
Database migration from Oracle to PostgreSQL
Java and Kotlin (including Spring, Spring Boot, JPA, Hibernate)
Angular (TypeScript) and JavaScript
IntelliJ IDEA and WebStorm
Apache Maven
Oracle DB (and SQL Developer), MongoDB, PostgreSQL DB
Git (GitLab, GitHub, BitBucket)
TeamCity
Jira
Docker
JUnit, Mockito, jasmin
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
2.1 years

Positions per freelancer
15 (Germany: 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, Project Management
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
71% (Germany: 55%)
Doctorate
12% (Germany: 11%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, Hungarian

Speak two or more languages
100% (Germany: 96%)
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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jakarta Persistence (JPA) 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 (86%)
- Automotive (62%)
- Government and Administration (57%)
- Manufacturing (48%)
- Retail (48%)
- Telecommunication (48%)
- Insurance (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What JPA does
Jakarta Persistence (JPA) is the standard Java specification for mapping objects to relational database tables. It defines entity classes, relationships, persistence contexts, queries and transactions, so application code can work with domain objects instead of hand-written SQL for every operation. The specification is implemented by providers such as Hibernate ORM and EclipseLink.
Core building blocks
JPA specialists model entities with identifiers, associations, inheritance and lifecycle rules. They use repositories or EntityManager operations to load, create, update and remove data while controlling transaction boundaries. Careful mapping is essential for composite keys, join tables, lazy loading, optimistic locking and database constraints.
Ecosystem and tooling
JPA commonly appears in Jakarta EE and Spring applications, often alongside Spring Data JPA, Hibernate, Flyway or Liquibase. Strong professionals also work with relational databases such as PostgreSQL, MariaDB, Oracle Database and Microsoft SQL Server. They understand JPQL, Criteria queries, native SQL, JDBC, connection pools and migration workflows.
Where companies use it
- Transactional business applications with rich domain models
- Order, billing, inventory and customer data services
- Enterprise systems running on Jakarta EE or Spring Boot
- REST and message-driven applications that need durable state
JPA is a practical fit when data relationships and transaction consistency matter more than direct control of every SQL statement. It can support modular services as well as larger monolithic systems.
When expertise matters
Companies bring in freelance JPA expertise when a persistence layer is slow, difficult to change or producing inconsistent results. Typical work includes replacing legacy Hibernate mappings, separating persistence from domain logic, correcting N+1 queries, improving transaction design and planning database migrations. In Munich, specialists may support local product teams remotely or collaborate on-site with German- and English-speaking stakeholders.
Signs of quality
A strong JPA professional explains the SQL produced by mappings and verifies assumptions with execution plans, tests and realistic data volumes. They distinguish provider-specific behavior from portable Jakarta Persistence features and choose fetch strategies deliberately. Look for experience with concurrency, transaction isolation, caching, schema evolution, rollback behavior and production diagnostics. Clear entity boundaries and maintainable query design matter as much as getting the first release working.
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 database records and manage their lifecycle within transactions. It helps teams build applications for orders, finance, logistics, customer data and other domains with connected business entities. A persistence provider such as Hibernate performs the runtime work.
JPA provides object-relational mapping, entity lifecycle management, relationship handling and transaction integration above JDBC. Direct SQL gives finer control and can be preferable for reporting, database-specific features or highly tuned queries. Many production systems combine JPA for domain operations with JDBC or native SQL for specialised workloads.
Jakarta Persistence (JPA) is a specification, while Hibernate ORM is an implementation of that specification. Hibernate supplies the runtime behavior and also offers features beyond the portable API. A specialist should know which parts of an application rely on standard JPA and which depend on Hibernate-specific extensions.
JPA work is strongest when paired with relational database design, SQL, transaction management and Java application frameworks. Useful adjacent skills include Spring Data JPA, Jakarta EE, REST APIs, database migrations, testing and performance analysis. Knowledge of the actual database engine is important when mapping choices affect indexes, locking or query plans.
Jakarta Persistence (JPA) projects need a specialist who has handled the relevant data model and failure modes, not simply someone who can create basic entities. Complex relationships, high write volume, legacy schemas and strict consistency requirements call for deeper expertise in transactions, locking and query performance. A smaller application may need focused review and setup rather than ongoing support.
JPA work is well suited to remote collaboration because mappings, queries, migrations and tests can be reviewed through shared repositories and development environments. Teams in Munich should agree on database access, delivery workflows, meeting times and whether German or English is used for documentation. On-site workshops can still help when domain rules or legacy schemas are difficult to capture remotely.
Jakarta Persistence (JPA) quality shows in predictable SQL, clear transaction boundaries, efficient fetching and tests that cover relationships and rollback behavior. Ask a specialist to explain how they prevent N+1 queries, handle concurrent updates and investigate slow database calls. A useful review also checks whether the design avoids unnecessary provider lock-in.
JPA may be a poor fit for applications dominated by complex reporting, bulk transformations, database-specific SQL or very simple data access. In those cases, direct SQL, JDBC or a query-focused data access approach can be clearer and more efficient. The right choice depends on the domain model, transaction needs, database capabilities and maintenance expectations.
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 742 € 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, 71% hold at least a Master's degree, and 12% 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 2.1 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 (14%).
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 (86%), and Automotive (62%).
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 (62%).
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.
Countries:
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