Jakarta CDI Experts in Germany
in minutes from vetted specialists, matched fast with the power of AIHire experts who design and maintain injection, scopes, and interceptors in Jakarta EE services, handle contextual lifecycle rules, and clean up brittle wiring. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Jakarta CDI
Khalid El Mansouri
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Sabahattin Kunas
Last position:
Sole responsibility (concept, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and working. Backend Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, Testcontainers integration tests. Running in my own AWS account (ECS Fargate, ALB, ECR, IAM least privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development throughout AI-assisted with Claude Code, including my own skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Faruk Sadriu
Last position:
Software Developer at HR Solutions GmbH
- Designing and developing a web application for the public sector
- Setting up and executing software tests, mainly unit tests
- Technical design and implementation of requirements
- Uploading and displaying CSV files
- Communicating with business units regarding development and test support
- Technologies used: Java, Spring Boot, Spring Security, Spring Batch, Spring Cloud, Spring Data JPA and Hibernate, RESTful, JSON, React, Oracle, JUnit, Mockito, CI/CD, GitLab, Docker, Keycloak, Liquibase, BIRT, Swagger, Microservices
Timo Heck
Last position:
Software Developer at Continentale Krankenversicherung AG
- Implementation of a REST-based web service for querying contract, claims, customer, and sales data as part of the Dialogmanager project.
- Data release is done in compliance with CoC requirements and individual user permissions from IAM (Identity and Access Management).
- Implementation using JBoss EAP 8.1 (JakartaEE 10) and Java 21 as well as JAX-RS, CDI, Microprofile-Config, Microprofile-OpenAPI.
Patrick Waldschmitt
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Robert Di Marco
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and embedding in a solid testing strategy
- Team: small specialized team (3-5 people) from analysis to implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Niels Majer
Last position:
Senior Software Developer / Cloud Architect at Biesterfeld SE
- Architected ETL services for event-driven data exchange between enterprise systems on a Kafka streaming backbone.
- Optimized CI/CD pipelines for Azure AKS deployments and improved OpenSearch monitoring and alerting for proactive incident detection.
Tech: Java / Kotlin, Quarkus, Kafka / Avro, Azure / AKS, Azure Storage Container, ArgoCD, GitLab CI, OpenSearch, Terraform
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Michael König
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Andreas Nolden
Last position:
Open Source Founder at Privatier
- AI-supported source code analysis
- AI image generation for a shirt shop
- AI-supported analysis of connected YouTube channels and commenting users
- AI-supported software prototyping
- Operation of a local AI environment
- 3D printing and scanning: development of a process to repair GfK parts using 3D-printed negative molds
The focus is on practical applications of new technologies, founding an open-source project for a yacht autopilot, as well as yacht refit and motorhome conversion.
Vladimir Maznicenko
Last position:
Developer at Financial services provider
- Support and further development of a framework for developing applications in a banking association: DynS/OSPE
- Migration of the framework to Java 11 and Java 17
- Java8, Java11 and Java17, Spring, Spring-Batch, Spring WebServices, Spring-Security, Spring-Data, JPA, Hibernate, OpenSource libraries etc.
- XML, JAXB, JSON, REST and SOAP services, DB2, Oracle, WebSphere or Liberty AS, FreeMaker, Junit, mock libraries, JaCoCo, Maven, IntelliJ, Eclipse, GitHub, SVN, Jira
Kammel Heib
Last position:
Senior Salesforce Developer at pflege.de
- Architecture and development of enterprise-level Salesforce solutions, including process automation, integrations, and Lightning components.
- Collaborating with stakeholders to optimize CRM architecture and data models.
- Tools & technologies: Salesforce, Apex, LWC, SOQL, Flows, REST APIs, Git, VS Code.
Neil Parsonage
Last position:
Software Engineer at AKDB
- Maintenance, enhancement, modernization, and testing of the OK.VERKEHR specialized application, a monolithic Enterprise Java solution (approx. 3.5 million LOC) for vehicle registration and driving license authorities
- Design, development, testing and maintenance of end-to-end workflows (dialogs, backend services and persistence layer, test suite) for new driver's license applications, modifications/extensions of licenses, management of parking permits and truck driver cards
- Development and maintenance of web services for communication between local road traffic authorities and the Federal Motor Transport Authority (Kraftfahrt-Bundesamt), FAER register, TÜV inspection centers and driving schools
- Performance optimization and targeted refactoring for the future migration to a cloud architecture and addition of a new web client (Vaadin)
- 3rd-level support for customers in production
Ulrich Cech
Last position:
Java Architect/Developer – Freelancer at DHL/DP – Rentenservice
Implementation of a Java service (daemon) as part of the automated processing of death notifications
Technologies used: Java17, SpringBoot, Hexagonal Architecture, REST API, Oracle, Maven, SonarQube, FindBugs, Checkstyle
Discover over 15,000 top freelancers
Statistics of experts using Jakarta CDI
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.6 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Operations
Bachelor's degree or higher
86%
Master's degree or higher
57%
Doctorate
14%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
90%
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 Germany 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 Germany using Jakarta CDI
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 CDI is
Jakarta CDI, short for Contexts and Dependency Injection, is the standard way to manage component wiring and lifecycle in Jakarta EE and related Java systems. It helps teams keep business code clean while services, beans, and helpers are assembled through the container instead of manual setup. You will also see it called CDI, Jakarta EE CDI, or the older Java CDI name.
What it is used for
- Dependency injection across web and service layers
- Scoped state for request, session, and application work
- Interceptors, decorators, and events
- Portable integration across Jakarta EE modules
Strong Jakarta CDI work shows up in business systems where loose coupling matters and lifecycle rules must stay predictable.
Core ecosystem
CDI sits close to Jakarta EE APIs such as Jakarta REST, Jakarta Persistence, and Jakarta Transactions. It also appears in servers and runtimes that support the CDI programming model, where beans are discovered, injected, and managed by the container. Good specialists know annotations, bean discovery, scopes, qualifiers, producers, and interceptors.
When to bring in help
Companies usually need outside help when injection graphs become hard to follow, startup slows down, or old Java EE code needs a safe move to Jakarta namespaces. That is common in Germany as well, especially in enterprise systems with long-lived service layers and mixed teams. A freelance specialist can stabilize the design, remove duplicate wiring, and document the bean model.
What strong specialists do
- Trace and fix ambiguous injections
- Refactor scopes and producer methods
- Add interceptors, decorators, and event handling
- Review deployment issues tied to bean discovery
A strong CDI professional writes clear code, knows the container model, and can explain why a bean is or is not active in a given scope.
Typical deliverables
Freelancers working with Contexts and Dependency Injection often deliver design reviews, code repairs, migration support, and testable examples for teams that need to extend or modernize Jakarta EE services. They also help with integration in REST endpoints, persistence boundaries, and shared libraries used across modules.
Frequently asked questions
Before you brief your next project: the most common questions about Jakarta CDI.
Jakarta CDI is used to wire application components, manage their lifecycle, and keep business code free of manual object creation. In practice, it supports injection, scopes, events, decorators, and interceptors inside Jakarta EE services. That makes it useful for backend systems that need clean separation between business logic and infrastructure.
CDI is the standard dependency injection model in Jakarta EE, while Spring uses its own container and annotations. The two overlap in purpose, but CDI fits naturally with Jakarta EE services, application servers, and APIs such as REST and Persistence. A project already built around Jakarta EE usually benefits from CDI expertise rather than a Spring-first approach.
A strong Jakarta CDI specialist should also understand Jakarta REST, Jakarta Persistence, transactions, and the bean lifecycle. Knowledge of scopes, qualifiers, producer methods, interceptors, and event handling is important too. In many projects, clean CDI work depends on reading the surrounding service architecture, not just the annotations.
Jakarta CDI help becomes valuable when wiring is hard to debug, legacy Java EE code is being moved to Jakarta namespaces, or multiple modules share the same bean model. It is also useful when startup behavior, scope handling, or interceptor chains cause defects that are hard to isolate. In those cases, experience saves time and reduces risk.
Yes, CDI work is often done remotely because the main tasks are code review, design correction, and integration support. For teams in Germany, remote collaboration usually works well when the codebase, build pipeline, and deployment target are accessible. On-site time can still help during migration workshops or difficult architecture sessions.
Contexts and Dependency Injection work does not always need a deep specialist, but production migrations and troubleshooting usually do. If the task is small, such as adding a few beans or fixing one injection path, a broad Jakarta EE professional may be enough. For scope bugs, ambiguous beans, or container-specific issues, you want someone who has seen the edge cases before.
A strong Jakarta CDI professional can explain bean discovery, scopes, qualifiers, and interceptor behavior in plain language. Look for clean refactoring choices, testable examples, and fixes that reduce container magic rather than adding more of it. Good candidates also show they can work inside the full Jakarta EE stack, not just with annotations in isolation.
CDI and Java CDI usually refer to the same dependency injection model, with Jakarta CDI being the current name in the Jakarta EE ecosystem. Many teams still search with the older Java EE wording, especially during migrations. A specialist should recognize both terms and understand how the package and namespace changes affect the codebase.
The average hourly rate of freelancers in Germany who have used Jakarta CDI in their recent projects is 98 €, which corresponds to a daily rate of about 782 € based on an 8-hour working day.
Of the freelancers in Germany who have used Jakarta CDI in their recent projects, 86% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Germany who have used Jakarta CDI in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Jakarta CDI in their recent projects are German (100%), English (90%), and French (20%).
The most common industries among freelancers in Germany who have used Jakarta CDI in their recent projects are Information Technology (100%), Banking and Finance (75%), and Automotive (65%).
The most common business areas among freelancers in Germany who have used Jakarta CDI in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Jakarta CDI
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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
