Jetty Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Jetty
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Niko S.
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Hermann-Georg I.
Last position:
CSA Lead Manager at SPIE SNG
- Responsible for new Substations Construction for Data Center
- Overall Management with clients
- Interface Management with Stakeholder and contracted EPC Contractors
- Construction Management
- Contractor Management
- Project Coordination
- Project Delivery Management
- Interface Management with internal Parties
- Interface with Local authorities
- Value multi Million USD
Kyu-Wang L.
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a unified tax collection program for all federal states.
Tax collection involves collecting the taxes that have been assessed. This includes, for example, taking due dates into account, recording incoming and outgoing payments, and initiating reminders or refunds. Limitation periods and payment reminders are also important. BIENE handles all payment transactions with banks and accounting.
Set up the architecture and coordinated the provision of development and test environments at the Hannover site
Installed and configured the environments on Linux servers (Apache Kafka, PostgreSQL)
Interface coordination: coordinated and aligned the connection of software products from other departments and their test data
Migrated the application server, JDK, and Maven project structure
Coordinated environments and managed builds
Implemented external interfaces
Delivered business requirements
Designed and implemented RESTful APIs and OpenAPI specifications
Designed and implemented a microservice architecture
Set up and maintained CI/CD pipelines
Deployed applications on OpenShift
Created technical documentation and diagrams
Worked with SQL databases (Oracle and PostgreSQL)
Set up authentication and authorization for the application and users
Containerized the application (automated deployment through the CI/CD pipeline)
Frank B.
Last position:
System Engineer at Frequentis Comsoft
- Migrate company software to RHEL10
- Development in Bash, Python, C, Ansible
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
Ioan D.
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, construction financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS Consumer Pacts with Finagle.
- CiL ScS Touch Point Architecture Integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, Gitlab, JIRA, Confluence, git, Spring 6.0, Sping Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, Intellij IDEA, Wicket 9 and 10, Istio.
Mani Y.
Last position:
Full-Stack Developer at Continentale Krankenversicherung a. G.
- Set up the new digitization strategy.
- Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
- In close cooperation with the business department, the individual processes are created and put into production.
- Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
- Gradual migration of old code from IBM WebSphere to JBoss.
- Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.
Stephan H.
Last position:
Software development, software quality assurance, tester, test automation engineer at IT services
Refactoring the CRM system of an IT service provider This includes a complete refactoring of the legacy application, in particular the migration from JDK 1.6 to JDK 25 and the replacement of self-developed infrastructure components, such as the Object-Relational Mapper (ORM) and the frontend template engine, with current standard components based on Spring Boot. At the same time, the previous close coupling between the back end and front end is being removed and the application is being migrated to a modern microservice architecture. The microservices are implemented as independent, reusable units and operated in autonomous Docker containers. The backend components are provided through REST APIs. As part of the project, CI/CD and deployment processes for the container-based microservice architecture were also established and automated using GitLab CI. At the same time, quality assurance is ensured through the implementation and automation of unit, integration and system tests. The work is supported by AI, particularly through the use of GitHub Copilot and LM Studio (gpt-oss) for code development and prompt engineering. Position: Software development, software quality assurance, tester, test automation engineer
Work performed:
- Analysis of the functional and technical use cases (workflows, involved processes/systems, communication paths, security requirements)
- Code refactoring (code cleanup, optimization)
- Dependency refactoring
- Refactoring of REST services (SpringBoot)
- Refactoring of the ORM layer
- Test execution / test automation (Serenity, Selenium, Playwright, JUnit)
- Establishment and automation of CI/CD pipelines for build, test and deployment steps in a Docker/microservice environment Team size: 2 people IT basis: Technologies: Java (JDK 25), Spring Boot, Hibernate, JPA, SQLServer, MariaDB, Docker, Yaml, Markdown, JSON, HTML/CSS, REST Tools: IntelliJ, DBeaver, Git/GitLab, GitHubCopilot (AI) Work management: Gitlab Tests: Serenity, Selenium, Playwright, JUnit Platform: Linux, Windows Version control: Gitlab Build management: Gitlab CI
Felix B.
Last position:
Data Consultant & Technical Lead DataVerse at Lufthansa Technik AG
- Technical consulting for greenfield development of AVIATAR 2.0
- Designing data pipelines and data architecture within the DataVerse Data Lake
- Planning and implementing Data Lake zones, data governance, data retention, and recovery strategies
- Collaboration with the Data Architecture and Platform Team for infrastructure scaling and design
- Close cooperation with stakeholders across Lufthansa Technik, including requirements management
- Hands-on development of data pipelines using Spark Structured Streaming and Databricks
- Proofs of Concept (PoCs) for Graph-Links and real-time analytics
- Provisioning data for AI and ML projects (e.g., predictive analytics)
- Technical design and implementation of near-real-time pipelines based on business requirements
Michael K.
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.
Volha L.
Last position:
IT Consultant SAP Commerce Cloud B2C / B2B Shops at Haba Family Group
- Release / further development of SAP Commerce (2105), Azure DevOps, IntelliJ IDEA
- Design and development of new features
- Performance optimization of Hybris (SAP Commerce 2105)
- Customizations
- Maintenance and support
- Integration tests and quality assurance
- Code optimization
- Documentation
Louis N.
Last position:
Specialist in Adobe Experience Manager & Microservices at Nguenkam Consulting & Engineering
Java 11/21
Springboot
Swagger/OpenApi
Azure Pipelines
Trivy Integration
Apache Sling
OSGI
Java Content Repository (JCR)
Apache Jackrabbit Oak
Adobe HTL
GraphQL
Maven
GitLab
IntelliJ
Azure Cloud
Azure DevOps
Terraform
AEM specialist in the Scrum team
Development and deployment of microservices via Open API interfaces
Operation of microservices in the Azure Cloud
Implementation of AEM modules and integration with microservices
Member of the knowledge transfer team and a backend coordination team
Discover over 15,000 top freelancers
Statistics of experts using Jetty
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
2.1 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Human Resources
Bachelor's degree or higher
95%
Master's degree or higher
58%
Doctorate
5%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
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 Germany 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 Germany using Jetty
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.
Jetty 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 (94%)
- Banking and Finance (56%)
- Automotive (44%)
- Retail (41%)
- Transportation (38%)
- Telecommunication (34%)
- Insurance (31%)
- Government and Administration (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Jetty Does
Jetty, also known as Eclipse Jetty, is a lightweight Java-based HTTP server and Servlet container. It runs web applications, REST services and embedded server processes without the overhead of a full application server. Teams use it when they need a compact runtime with strong control over startup, configuration and network behaviour.
Where It Runs
Jetty supports customer-facing web services, internal APIs, event-driven applications and Java products that embed an HTTP layer. It is common in cloud services, enterprise integration, telecommunications and industrial software. Companies in Germany often use it within distributed systems that must connect reliably with existing Java infrastructure.
Core Ecosystem
Jetty expertise covers the server itself and the Java components around it:
- Servlet, Jakarta Servlet and HTTP configuration
- Embedded Jetty in Spring and other Java applications
- TLS, HTTP/2, WebSocket and connection management
- Maven, Gradle, Docker and Kubernetes deployment
- Logging, metrics, tracing and automated testing
When to Bring In Specialists
Companies usually seek freelance Jetty expertise when a service needs a controlled embedded runtime, a legacy deployment needs modernization or production traffic exposes configuration issues. Specialists can migrate Servlet versions, resolve classpath conflicts, harden TLS settings and improve startup or request handling. They can also document a setup so internal teams can operate it confidently.
Jetty Compared
Jetty is often weighed against Apache Tomcat, Undertow and full Jakarta EE application servers. Its compact design suits embedded use and focused HTTP workloads, while alternatives may offer different defaults, integrations or operational conventions. The right choice depends on application architecture, protocol needs, support expectations and the team’s existing Java stack.
What Strong Experts Bring
Strong professionals understand more than Jetty configuration. They trace requests across proxies and containers, diagnose thread pools and connection limits, and separate application faults from server behaviour. They work carefully with security headers, certificates, graceful shutdown and observability. For remote projects in Germany, clear documentation, reliable communication and coordination across time zones matter as much as hands-on delivery.
Frequently asked questions
Questions about Jetty? Start with the answers below.
Jetty is used to serve Java web applications, REST APIs, WebSocket services and embedded HTTP endpoints. Its small footprint makes it useful when an application needs a server within its own process rather than a separate application-server installation.
Jetty and Apache Tomcat both run Java web applications and Servlet-based services. Jetty is often chosen for embedded deployments and fine-grained control, while Tomcat is widely used as a conventional standalone Servlet container with familiar operational patterns.
A strong Eclipse Jetty specialist should understand Java, Servlet or Jakarta Servlet APIs, Maven or Gradle and container deployment. Useful adjacent skills include TLS, reverse proxies, HTTP/2, WebSocket, Docker, Kubernetes and application observability.
The right level depends on the work. A simple embedded setup may need focused configuration expertise, while a migration or production incident calls for someone who can inspect thread pools, connectors, classpaths, security settings and deployment automation.
Jetty projects are well suited to remote work when repositories, deployment environments and operational documentation are accessible. For teams in Germany, agree early on working language, meeting windows, access controls and whether any production activity requires on-site coordination.
Jetty may be preferable when a team values its established Servlet ecosystem, embedded usage and mature protocol configuration. Undertow can be a strong alternative when its non-blocking design and integration with a chosen Java framework fit the application more closely.
Ask the specialist to explain connector settings, thread-pool choices, TLS handling, graceful shutdown and failure diagnosis in terms of your system. Good delivery includes reproducible configuration, tests, useful logs and documentation rather than unexplained server tweaks.
Jetty assignments often involve more than starting an HTTP server. Clarify the Servlet version, embedded or standalone model, proxy path, deployment target, security requirements, observability setup and who owns production support before estimating the work.
The average hourly rate of freelancers in Germany who have used Jetty in their recent projects is 103 €, which corresponds to a daily rate of about 827 € based on an 8-hour working day.
Of the freelancers in Germany who have used Jetty in their recent projects, 95% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used Jetty in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Jetty in their recent projects are German (100%), English (100%), and French (16%).
The most common industries among freelancers in Germany who have used Jetty in their recent projects are Information Technology (94%), Banking and Finance (56%), and Automotive (44%).
The most common business areas among freelancers in Germany who have used Jetty in their recent projects are Information Technology (94%), Product Development (91%), and Quality Assurance (78%).
Main locations of FRATCH Experts, who have recently used Jetty
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
