Jakarta Persistence (JPA) Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Jakarta Persistence (JPA)
Sercan T.
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: System architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital placement platform that directly connects relatives of people in need of care with verified care services and caregivers – without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as the sole developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 using presigned URLs to verify care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and the placement process.
- Development of an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature flag architecture.
Maik S.
- Development of a new generation of Spring Boot microservices for an archiving system on OpenShift, monitoring, security analyses
Stack: Java, Spring Boot, Kafka, Vaadin, OpenShift 4.x, Maven, Artifactory, Jenkins, Git/Github, GitHub Copilot, GitOps, CI/CD, Kargo/ArgoCD
Benjamin S.
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Konrad M.
Last position:
Managing Director/Entrepreneur at M-CAD Müller & Partner GbR
- External engineering services and project support for automobile manufacturers and their suppliers according to their standards and specifications (e.g. Alfa-Romeo, Audi, Daimler AG, BMW, Ford, Fiat, General Motors, Hyundai, Land-Rover, Mahindra, Mercedes-AMG GmbH, Nissan, Iveco, MAN, PSA, Porsche, Proton, Renault, Smart, Suzuki, Tata Motors, Volvo, VW)
- Cooperation with MHG Fahrzeugtechnik GmbH, BorgWarner Turbo Systems GmbH, Eberspächer Exhaust Technology GmbH & Co. KG, BorgWarner Emission Systems GmbH, BIN Boysen Innovationszentrum Nagold GmbH & Co. KG, Miccavonics GmbH, Bizerba GmbH & Co. KG
- 3D modeling and development taking into account:
- Costs: short, targeted, efficient, scientific, innovative and competitive planning with little rework
- CFD (flow distribution, pressure loss, flow around and speeds in steady-state, unsteady, laminar, turbulent and multiphase flows)
- FEM/FEA (strength, modal, thermomechanical, fatigue and operational analyses, linear, nonlinear as well as static and dynamic structural assessments)
- Acoustics (flow-induced noise and vibrations)
- Manufacturing requirements (simplification of common-part concepts, material selection, integration of existing processes)
- Packaging compliance with suggestions for cost reduction and efficiency improvement
- Projects included:
- Exhaust manifolds for gasoline and diesel engines (3, 4, 6, 8 cylinders)
- Close-coupled and underfloor catalyst systems with SCR, urea injection and mixing chambers
- Compact commercial vehicle catalyst systems (one-box design) with fuel processor
- Catalyst systems in muffler systems for passenger cars
- Active Noise Cancelling (patented design and arrangement, prototype development and acoustic analysis)
- Development of test fixtures, prototypes and SCR distribution scanners
Elvir B.
Last position:
Software Architect and Software Developer at Noctica IT GmbH
- NocTime time tracking, workshop planner, meal delivery service app
- LLM-based chat bot to control the NocTime time tracking system via voice input
- New and further development of customer solutions based on the Noctica SAS app framework
- Technologies: Java 17, Spring Boot, JPA, Hibernate, JavaScript, TypeScript, Angular 20, Angular Material, React, C#, Docker, Bash, Git, GitLab, RedMine, SQL, DBeaver, MariaDB, PostgreSQL, Python, TensorFlow, Ollama, various LLMs
Achille C.
Last position:
Backend/Frontend Developer at ITZ-Bund
- Development of a microservice application for calculating account bookings
- Development of backend components with Java / JEE, Quarkus, Kafka, REST API
- Development of the test component with mocking frameworks (Mockito)
- Development of unit tests with JUnit / ArchUnit, integration test components
- Creation of OpenAPI specification format
- Configuration of CI/CD pipeline
- Development of frontend component with React
- Design, further development and optimization of system architectures
- Migration from MySQL to PostgreSQL
- Code reviews
- Java Corretto 21, JEE, Quarkus, Golang
- Reactive programming with Spring WebFlux, Project Reactor, Liquibase, Elasticsearch, Hibernate, HQL, JPA, SQL
- Git, Azure DevOps for CI/CD pipeline, YAML, JSON, Swagger UI, Postman, REST OpenAPI, Kafka Streams, Kafka Connect, Log4J, JUnit / ArchUnit
- Microservices, Jira, Confluence, MySQL, PostgreSQL, Docker, Kubernetes (deployment via Helm charts)
- Spring Security, OAuth 2, JWT, SonarQube
- IntelliJ, Maven, logging framework Splunk, Agile Scrum method, Nexus, Vaadin V24, build tool Vite
- React, React.JS, Node.js, JavaScript, Tailwind CSS, Agile Scrum method, BITV accessibility, Playwright
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 20 years)
Position duration
2.7 years (Germany: 2 years)
Positions per freelancer
14
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
50% (Germany: 55%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Stuttgart 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 Stuttgart 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 16 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%)
- Automotive (83%)
- Banking and Finance (67%)
- Manufacturing (67%)
- Healthcare (50%)
- Insurance (50%)
- Transportation (50%)
- Aerospace and Defense (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Jakarta Persistence does
Jakarta Persistence (JPA) is the standard Java specification for mapping objects to relational database tables. It defines entities, relationships, queries and persistence contexts, so applications can work with business objects while the persistence provider handles much of the database interaction. The specification is commonly used in enterprise APIs and Spring-based services.
Core implementation choices
JPA defines the rules, while providers such as Hibernate and EclipseLink execute them. Strong specialists understand entity states, lazy and eager loading, cascading, transactions and optimistic locking. They also know where provider-specific behavior can affect portability, performance or production support.
- Design entity models and relationship mappings
- Configure persistence units and transaction boundaries
- Write JPQL, Criteria API and native queries
- Tune fetching, batching and indexes
Systems and use cases
Jakarta Persistence supports transactional applications that store customer, order, inventory, account and workflow data in relational databases. It appears in REST services, modular monoliths, enterprise backends and business applications connected to PostgreSQL, Oracle Database, Microsoft SQL Server or other SQL systems. Stuttgart companies can apply it across manufacturing, mobility, finance and logistics systems.
When specialists add value
Freelance expertise is useful when a team is modernizing an older Java application, moving from Java EE to Jakarta EE, or replacing direct JDBC access with a consistent persistence layer. Specialists can resolve slow queries, unexpected collection loads, detached entities and transaction bugs. They can also support a migration from javax.persistence to jakarta.persistence and document the resulting design.
Skills around JPA
Effective work with Jakarta Persistence requires more than annotations. Professionals typically bring Java, SQL, database design, transaction management and testing skills, along with experience in Spring Data JPA, Jakarta EE, Hibernate and REST APIs. They should understand schema migration tools, connection pooling, observability and deployment practices. Remote collaboration works well when technical documentation, code review and communication in English or German are clear.
What quality looks like
A capable specialist starts with access patterns and business transactions rather than adding mappings mechanically. They make fetch plans explicit, inspect generated SQL and test realistic data volumes. Good deliverables include maintainable entities, focused repositories, migration notes, integration tests and clear decisions about provider-specific features. The result is persistence code that remains understandable as the domain and database evolve.
Frequently asked questions
Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.
Jakarta Persistence (JPA) is used to map Java objects to relational database tables and manage their lifecycle within transactions. It supports entity relationships, queries, locking and persistence contexts in enterprise applications and backend services.
Jakarta Persistence (JPA) is a specification, not a complete persistence engine. Hibernate is a widely used implementation of that specification and adds provider-specific features, while EclipseLink is another implementation.
Jakarta Persistence (JPA) suits domain-heavy applications with recurring entity operations and relationships. Direct JDBC can be clearer for highly specialized SQL, reporting workloads or cases where precise query control matters more than object mapping.
A strong Jakarta Persistence (JPA) freelancer should also understand Java, SQL, relational modeling and transaction boundaries. Experience with Hibernate, Spring Data JPA, Jakarta EE, database migrations and integration testing is valuable for end-to-end delivery.
Bring in Jakarta Persistence (JPA) expertise when mappings become difficult to maintain, queries slow down or transaction behavior is unclear. A specialist can also help with Java EE modernization, the move from javax.persistence to jakarta.persistence, or a database redesign.
Jakarta Persistence (JPA) work is well suited to remote collaboration because models, queries and tests can be reviewed in a shared codebase. On-site workshops in Stuttgart may help during domain discovery or complex production troubleshooting, while English or German communication can support effective teamwork.
The required Jakarta Persistence (JPA) experience depends on the system’s domain complexity, database workload and delivery stage. A simple service may need focused implementation skills, while a legacy migration or performance-critical platform calls for someone who can analyze SQL, transactions and provider behavior.
Ask how the Jakarta Persistence (JPA) specialist handles fetch plans, transaction scope, generated SQL and integration tests. Review whether the proposed mappings reflect real access patterns, avoid unnecessary coupling and include practical monitoring and migration documentation.
The average hourly rate of freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects is 105 €, which corresponds to a daily rate of about 838 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Automotive (83%), and Banking and Finance (67%).
The most common business areas among freelancers in Stuttgart, Germany who have used Jakarta Persistence (JPA) in their recent projects are Product Development (100%), Information Technology (83%), and Quality Assurance (67%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Countries:
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