Jakarta Faces (JSF) Experts in Frankfurt
matched in minutes with vetted, available freelance specialistsHire experts who build and modernize component-based Java web interfaces with Jakarta Faces (JSF), Facelets, CDI and PrimeFaces. Get precise access to vetted, available freelancers who fit your project and can start quickly.
Meet FRATCH Experts in Frankfurt, who have recently used Jakarta Faces (JSF)
Ralf K.
Last position:
Senior Java Developer, Consultant at Dataport AÖR
- Maintenance and further development of the Java/Swing-based @rtus FormsEditor
- Design and development of a graphical formula editor based on Google Blockly for representing a project-specific DSL, including parsing and code generation
- Implementation of character-accurate synchronization between the editor and print preview to improve the user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
David R.
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Werner K.
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
Marie-Josée M.
Last position:
Java Engineer / Developer at Davaso GmbH
- Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
- Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
- Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
- Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
- Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Faces (JSF)
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
17 (Germany: 15)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Banking and Finance, Information Technology, Insurance
Certification focus areas
Information Technology, Operations, Project Management
Bachelor's degree or higher
67% (Germany: 86%)
Master's degree or higher
67% (Germany: 50%)
Certifications per freelancer
1 (Germany: 2)
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 Frankfurt 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 Frankfurt using Jakarta Faces (JSF)
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 Faces (JSF) experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Insurance (67%)
- Transportation (67%)
- Professional Services (50%)
- Telecommunication (50%)
- Tourism (50%)
- Automotive (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Component-based web applications
Jakarta Faces, commonly called JSF, is a Java framework for building server-side, component-based web interfaces. It manages views, form state, validation, conversion and event handling through a structured lifecycle. Companies use it for business applications where consistent workflows, access control and long-term maintainability matter.
Core building blocks
Facelets defines reusable page templates and UI components with XHTML. Managed beans or CDI beans connect the view to application services, while expression language binds data and actions. Strong specialists also understand navigation, scopes, validation messages, resource libraries and the Jakarta EE runtime around the application.
Ecosystem and tooling
Jakarta Faces projects often include libraries that extend the standard component set and improve accessibility or interaction patterns.
- Facelets templates, composite components and reusable views
- PrimeFaces, OmniFaces and other component libraries
- CDI, Bean Validation, JPA and REST integrations
- Maven, application servers, testing and deployment pipelines
When freelance expertise helps
Companies bring in freelance specialists when a legacy JSF application needs modernization without disrupting daily operations. They may need help replacing outdated Java EE dependencies, improving slow views, introducing responsive components or connecting the interface to new services. Frankfurt teams can combine local workshops with remote delivery when domain knowledge and clear communication are in place.
Delivery and project fit
A specialist may deliver a new module, reusable component library, migration plan, test coverage or a complete customer and operations portal. The right level of experience depends on the codebase, release risk and integration landscape. Projects with complex state handling, strict validation rules or extensive permissions benefit from someone who can trace the full request lifecycle.
What strong specialists bring
Quality work goes beyond making a page render. Strong Jakarta Faces professionals keep view scope deliberate, separate presentation from business logic and reduce unnecessary server-side state. They examine accessibility, browser behavior, security, performance and maintainability, then document component choices so the team can extend the application confidently.
Frequently asked questions
Not sure where to start with Jakarta Faces (JSF)? These answers cover the essentials.
Jakarta Faces (JSF) is used to build server-side, component-based web interfaces for Java and Jakarta EE applications. It fits portals, back-office tools, workflow systems and customer applications that need structured forms, validation, navigation and access control.
Jakarta Faces manages a server-side component tree and request lifecycle, while Spring MVC usually gives teams more direct control over web routing and view choices. A JavaScript front end can offer richer client-side interaction, but it also introduces a separate application layer and integration model. The right choice depends on the existing stack, user experience goals and team skills.
JSF work commonly requires CDI, Bean Validation, JPA, REST services and application-server configuration. Experience with Facelets, PrimeFaces, OmniFaces, Maven, automated testing and security is also valuable. Specialists should understand both the user interface and the Jakarta EE services behind it.
Jakarta Faces (JSF) projects need different levels of experience depending on their scope. A contained component or view change may suit a specialist familiar with the local codebase, while a migration, performance investigation or architectural refactor calls for someone who can analyze lifecycle behavior, state management and deployment risks.
Jakarta Faces work is often suitable for remote collaboration when the repository, environments and acceptance criteria are well documented. Frankfurt teams may still prefer on-site workshops for domain discovery, legacy-system access or stakeholder alignment. Shared reviews and clear written communication help keep distributed delivery effective.
Jakarta Faces quality is easier to assess through a discussion of past lifecycle, scope and component-library decisions than through a generic framework overview. Ask how the specialist handled validation, state growth, accessibility, security and testability. A strong professional can explain trade-offs in the context of your application.
Jakarta Faces can still suit internal systems and enterprise applications that benefit from server-side components, mature Jakarta EE integration and predictable form handling. It may be less suitable when the product needs highly dynamic client-side interaction or a separate front-end team. The decision should reflect product needs and existing operational skills.
JSF applications often accumulate oversized views, unclear bean scopes, excessive server-side state and tightly coupled business logic. Older projects may also depend on outdated Java EE namespaces or component libraries. A capable specialist can isolate these risks, improve the structure and plan incremental modernization without forcing an unsafe rewrite.
The average hourly rate of freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects is 98 €, which corresponds to a daily rate of about 780 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects, 67% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects are Banking and Finance (100%), Information Technology (100%), and Insurance (67%).
The most common business areas among freelancers in Frankfurt, Germany who have used Jakarta Faces (JSF) in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used Jakarta Faces (JSF)
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 
Munich 
Cologne Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
