
Jakarta EE Experts in Stuttgart
matched in minutes by AIHire experts who deliver secure Java enterprise applications, REST services, and container-ready deployments with Jakarta EE, supported by proven knowledge of CDI, JPA, and application servers. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used Jakarta EE
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.
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
Artyom N.
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Lothar H.
Last position:
Solution Manager for the investigation PoC and exchange and refinement of an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigation PoC and exchange and refinement of an existing cloud and IoT power plant control solution for certificate management of renewable energy power plants (solar, wind, biomass and others) of the largest European renewable energy power plant operator in this field, including investigation of the IoT devices used in the field and their integration and network connection with the aim of automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and Attack Vector Analysis, Software Quality & Bug Assessments
- Agile Workload Scheduling via Jira & ConJluence
- Evaluation of message streams Pub/Sub for MQ and KaJka.
- Various tests with “best design approaches” regarding resilience patterns such as Circuit Breaker Designs, Throughput Measurement and Monitoring, Bulkhead Governors - for robust EA design
- Integration of API Management with IBMs API Connect to Kubernetes - for agnostic Microservices API Management Designs. Google Apigee
- Solution Health Check Approaches for Load Burst Situations + Remedy
- Research and investigation of available potential subcontractors in the coordinating role as Solution Manager. CIS20 Controls.
- Dread and Stride Security Assessments.
Alexander Z.
Last position:
Fullstack Developer and DevOps Engineer at Freelancer
- Developing the infrastructure and improving existing infrastructure: Jenkins, Gitlab Pipeline, OpenShift, Docker, Helm Chart, Kubernetes, Artifactory, CodePipeline, CodeArtifact, Python
- Documenting solutions in Jira/Confluence
- Supporting other colleagues in different technical areas
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
Robin S.
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Achille C.
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Colin W.
Last position:
Founder & CTO at Savvi Learning GmbH
- Managing director (CTO/CFO) and founder of Savvi and Sparklyft
- Management of the entire product team incl. development team & content team
- Responsible for product strategy, go-to-market, project management, integration projects, business planning, etc.
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
Dominik W.
Last position:
Head of Mobile Development / CTO at MOSAIC BLABBER
- Technology strategy planning concerning the client-server and blockchain environments
- Development of smart contracts for the EOS blockchain using C++, Python and JavaScript and for Ethereum using Solidity
- Development of the BLABBER mobile app for iOS and Android using React Native
Discover over 15,000 top freelancers
Statistics of experts using Jakarta EE
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 23 years)

Position duration
1.9 years (Germany: 2.2 years)

Positions per freelancer
14 (Germany: 15)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
55% (Germany: 54%)

Certifications per freelancer
2

Most common languages
German, English, Russian

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 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.
Discover detailed Jakarta EE rate benchmarks:
Explore rate insightsAverage rates of experts in Stuttgart using Jakarta EE
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 EE 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 (82%)
- Automotive (64%)
- Insurance (55%)
- Manufacturing (55%)
- Government and Administration (55%)
- Transportation (45%)
- Telecommunication (45%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Enterprise Java foundation
Jakarta EE is a set of specifications for building secure, modular, and scalable enterprise applications on Java. It covers APIs for web services, dependency injection, persistence, transactions, messaging, and security. The technology was formerly known as Java EE and, before that, J2EE.
Applications and systems
Jakarta EE supports business-critical back ends, internal portals, customer-facing web applications, and service-oriented systems. Its standard APIs help teams keep application logic portable across compatible runtimes while meeting demanding integration and security needs.
- Design RESTful services and web APIs
- Build transactional business applications
- Connect relational data with JPA
- Process events and messages with Jakarta Messaging
Ecosystem and tooling
Strong specialists work across Jakarta Servlet, CDI, Bean Validation, JPA, JAX-RS, and Jakarta Security. They may use runtimes such as WildFly, Payara, Open Liberty, or Eclipse GlassFish, alongside Maven, Gradle, relational databases, automated tests, and container tooling.
When companies need specialists
Freelance expertise helps when a company is modernizing a Java EE codebase, separating a monolith into services, or preparing a legacy application for cloud deployment. In Stuttgart, this can support industrial, automotive, logistics, finance, and public-sector systems that depend on reliable enterprise integration.
- Upgrade Java EE applications to Jakarta EE
- Resolve deployment and runtime issues
- Improve test coverage and delivery pipelines
- Integrate identity, databases, and external services
What strong professionals deliver
A capable professional understands specifications rather than only one application server. They define clear module boundaries, manage transactions carefully, protect endpoints, and investigate performance with evidence. They also document deployment choices and communicate risks before changes reach production.
Collaboration and project fit
Jakarta EE work suits remote or on-site collaboration, depending on access to systems, security controls, and release processes. A strong brief should state the runtime, Java version, existing APIs, database, build process, and delivery constraints. For teams in Stuttgart, German-language communication may matter for workshops, while distributed delivery can remain in English.
Frequently asked questions
Not sure where to start with Jakarta EE? These answers cover the essentials.
Jakarta EE is used to build enterprise applications with standard APIs for web requests, REST services, persistence, transactions, messaging, dependency injection, and security. It is a strong fit for systems that need clear structure, reliable integration, and long-term maintainability.
Jakarta EE provides a specification-driven programming model implemented by compatible runtimes, while Spring Boot centers on the Spring ecosystem and its conventions. The right choice depends on existing skills, runtime strategy, portability needs, and the libraries already used by the application.
A strong Jakarta EE specialist often brings Java, SQL, JPA, REST, Maven or Gradle, automated testing, containerization, and application-server experience. Knowledge of OAuth or OpenID Connect, messaging systems, observability, and CI/CD is also valuable for production work.
The required depth depends on the system’s risk and scope. Jakarta EE maintenance may need someone familiar with the existing runtime and APIs, while migrations, security changes, and transaction-heavy systems call for a professional who can assess architecture and production behavior.
Yes, Jakarta EE projects can usually be delivered remotely when repositories, environments, and secure access are available. On-site sessions may help with domain workshops, restricted infrastructure, or coordination across Stuttgart-based teams, while English is common in distributed technical work.
Jakarta EE can be a practical choice when a modular monolith, standardized APIs, or an established application server reduces operational complexity. Microservices frameworks may suit independently deployed components, but they also introduce additional concerns around networking, observability, and service ownership.
Ask how the professional handles transactions, API versioning, persistence boundaries, security, testing, and deployment. High-quality Jakarta EE work includes readable modules, meaningful automated tests, documented runtime decisions, and measured solutions to performance or reliability issues.
A Jakarta EE freelancer may deliver REST endpoints, persistence layers, secured application modules, messaging flows, migration plans, deployment configurations, or production fixes. They should also leave tests, documentation, and a clear handover so the internal team can operate and extend the system.
The average hourly rate of freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects is 105 €, which corresponds to a daily rate of about 839 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects, 100% hold at least a Bachelor's degree and 55% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects are German (100%), English (100%), and Russian (27%).
The most common industries among freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects are Information Technology (100%), Banking and Finance (82%), and Automotive (64%).
The most common business areas among freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects are Information Technology (100%), Product Development (91%), and Project Management (82%).
Main locations of FRATCH Experts, who have recently used Jakarta EE
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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