Jakarta EE Experts in Stuttgart
matched in minutes by AIHire experts who design enterprise APIs, secure transactional services and containerized Java applications with Jakarta EE, supported by tools such as Quarkus, WildFly and Payara. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
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 matchmaking platform that connects relatives of people in need of care directly 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 the 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 a solo 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 via presigned URLs for verification of 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 placement process.
- Building 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.
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
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
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
Will O.
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
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
Lothar H.
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for 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 & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
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: 53%)
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Stuttgart 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.
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 19 Sep 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 the Java platform. It covers web interfaces, REST services, dependency injection, persistence, messaging and transactions. The technology was formerly known as Java EE and, before that, J2EE.
What it builds
Jakarta EE is used for business systems that need clear boundaries, reliable processing and long-term maintainability. It fits customer portals, internal applications, integration services and transaction-heavy backends across manufacturing, mobility, finance, healthcare and the public sector.
- RESTful APIs and business services
- Server-rendered web applications
- Secure identity and access flows
- Messaging and batch processing
Ecosystem and tooling
Professionals work with specifications such as Jakarta REST, Jakarta Persistence, Jakarta CDI, Jakarta Security and Jakarta Transactions. Common runtimes include WildFly, Payara, Open Liberty and GlassFish, while Maven, Gradle, Docker, Kubernetes and relational databases support delivery and operations. Spring and MicroProfile may also appear in the same landscape.
When specialists help
Companies often bring in freelance expertise when modernizing a Java EE estate, moving from an application server to containers or separating a monolith into services. Specialist support is also valuable during Jakarta namespace migrations, production incidents, security reviews and releases that must preserve existing business rules.
- Planning a Java EE to Jakarta EE migration
- Reworking persistence, transactions or messaging
- Connecting legacy systems and external APIs
- Improving test automation and deployment pipelines
Strong project experience
A capable professional understands both the specifications and the runtime behavior behind them. They can trace transaction boundaries, manage persistence contexts, design resilient APIs and explain trade-offs between a modular monolith and separate services. Experience with observability, automated testing and secure configuration matters as much as framework knowledge.
Stuttgart collaboration
In Stuttgart, Jakarta EE work can support complex industrial, mobility and enterprise environments where integration and dependable operations are central. Remote collaboration works well for architecture, implementation and code review, while on-site sessions can help with workshops, legacy-system discovery or stakeholder alignment. German and English communication requirements should be agreed at the start.
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 web interfaces, REST APIs, persistence, messaging, security and transaction management. It is a strong fit for systems that connect several business processes and must remain maintainable over a long operating life.
Jakarta EE provides vendor-neutral specifications implemented by application servers such as WildFly, Payara and Open Liberty. Spring offers a broad, opinionated ecosystem, while Jakarta EE can suit organizations that value standardized APIs, portable runtimes and established enterprise application patterns.
A strong Jakarta EE specialist should also understand Java, REST, relational databases, Maven or Gradle, automated testing and containerized deployment. Knowledge of Kubernetes, cloud infrastructure, messaging systems and observability is useful when the application runs as part of a larger platform.
The right level depends on the system’s risk and scope. A straightforward service may need focused implementation skills, while a migration or transaction-heavy platform calls for someone who can assess Java EE history, application-server configuration, data behavior and production dependencies.
Jakarta EE can run in containers and integrate with Kubernetes, managed databases, messaging platforms and cloud observability tools. It can support modular monoliths as well as services, provided the runtime, deployment model and operational responsibilities are designed deliberately.
Jakarta EE projects are well suited to remote work because source control, build pipelines, documentation and environments can be shared online. For Stuttgart-based teams, occasional on-site workshops may still help with domain discovery, integration planning and coordination with plant or operations stakeholders.
Ask how the professional handles transaction boundaries, persistence, API versioning, security and application-server configuration. Review architecture decisions, automated tests, deployment documentation and production troubleshooting examples rather than relying only on familiarity with the Jakarta EE name.
Jakarta EE is the continuation of Java EE under the Eclipse Foundation, following the transfer of the technology and its trademark. A key migration concern is the move from the javax namespace to jakarta, which can affect source code, dependencies, configuration and compatible runtimes.
The average hourly rate of freelancers in Stuttgart, Germany who have used Jakarta EE in their recent projects is 104 €, which corresponds to a daily rate of about 832 € 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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Nuremberg Countries:
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FRATCH CEO
