Jackson Experts in Germany
in minutes from 15,000 CVs with the power of AIHire experts who work with Jackson for JSON mapping, custom serializers and deserializers, API integrations, and Spring Boot services. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Jackson
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the GHCR image; open-core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ
Marcus Biel
Last position:
Java Cloud Expert at Unknown
- Modernized and modularized a legacy monolith to enable independent team workflows
- Migrated from Java 8 to Java 21 and from Spring Boot 2 to Spring Boot 3.3
- Simplified Maven project structure, reducing build time from 15 minutes to 50 seconds
- Converting architecture to a hexagonal DDD architecture with end-to-end integration tests using RestAssured and JUnit 5
- Tools and technologies: Java 8-22, Spring Boot, Mockito, AssertJ, RestAssured, Hibernate, OracleDB, Flyway, REST, JSON, Docker, Kubernetes, AWS, Bitbucket, GitHub, SonarQube, IntelliJ IDEA Ultimate
Walid El Sayed Aly
Last position:
Solution Architect & DevOps Consultant at Extra Something – IT Consulting
- Technical leadership and architecture for enterprise clients (including LR Health & Beauty, Deutsche Bahn, Trusted Shops)
- Cloud migration, microservices architectures, CI/CD optimization
Dirk Bolte
Last position:
Senior Software Developer at congstar
- Mobile app backend development for end-customer mobile management
- Implementation of authentication methods
- Conversion of a monolith into microservices
- Operational support
- Technologies: Kotlin, Quarkus, Microprofile, Jackson, MariaDB, Redis, JSON, XML, SOAP, Maven, Git, GitLab CI, Splunk, Grafana, Jenkins, Kubernetes, Helm, Terraform, Microservices
Mani Yazdi
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.
Eduard Haris
Last position:
Senior Java Developer at Deutsche Bahn
- Implemented asynchronous communication with Kafka Streams to update user and group data in microservices
- Conducted load and performance tests with JMeter to ensure system stability
- Migrated microservices to current versions of Spring Boot libraries for better maintainability and security
- Optimized Hibernate queries to improve database efficiency
- Deployed new microservices on AWS infrastructure using Kubernetes for scalability and fault tolerance
- Created OpenSearch dashboards to monitor and analyze system metrics
- Integrated Azure Entra user accounts via SCIM by implementing all necessary REST endpoints
- Improved response times through asynchronous processing in separate threads for better performance
- Enhanced Android device logging capabilities for easier troubleshooting
- Refactored database schema with Flyway for consistent and traceable migrations
- Updated AWS Cognito user settings to optimize user management
- Offloaded resource-intensive tasks from the main microservice into separate Docker containers to boost performance
- Used technologies: Java, JavaScript, Kotlin, Angular, Maven, Spring Boot, Spring Security, JUnit, Tomcat, Spring Data, Spring Cloud, Hibernate, Jackson, microservices, Docker, Kubernetes, OpenSearch, Grafana, OpenAPI, SonarQube, PostgreSQL, MySQL, JMeter, Kafka, Flyway, AWS, Azure, Jira, Confluence, Agile, Scrum, SAFe
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
Allal Kharaz
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Mario Ellebrecht
Last position:
Developer and Consultant at Freelancer
Discover over 15,000 top freelancers
Statistics of experts using Jackson
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
2.3 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Telecommunication, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
60%
Certifications per freelancer
1
Most common languages
German, English, Arabic
Speak two or more languages
100%
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 Jackson
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
Jackson basics
Jackson is a Java library for reading and writing JSON, and it is also used for XML and other data formats through extra modules. Teams choose it for API payloads, service-to-service messages, config files, and data exchange in backend systems.
Core modules
Jackson usually means the FasterXML stack: jackson-core, jackson-databind, and jackson-annotations. Strong experts know where to use plain streaming, where databinding fits, and when to add modules for Java Time, Kotlin, or parameter names.
Typical work
- Map JSON to POJOs and back
- Build custom serializers and deserializers
- Tune ObjectMapper settings for strict or flexible parsing
- Handle enums, dates, polymorphic types, and null values
- Integrate Jackson with Spring Boot or REST services
Why companies bring in help
Teams bring in Jackson specialists when JSON handling becomes brittle, hard to test, or slow to change. That often happens during API redesigns, legacy migration, mixed data formats, or when different services in Germany and beyond need the same serialization rules.
What strong specialists do
Good Jackson professionals keep data models clear and predictable. They write safe mappings, avoid hidden serialization surprises, and understand how annotations affect output, compatibility, and backward support across services.
Ecosystem fit
Jackson is common in Spring Boot, JAX-RS, Micronaut, Dropwizard, and many custom Java services. The best experts also know related tools such as Lombok, Bean Validation, OpenAPI, and test frameworks that verify JSON contracts.
Frequently asked questions
Key details about Jackson, drawn from the questions we get asked most.
Jackson is used to convert Java objects to JSON and JSON back into Java objects. It is common in REST APIs, message payloads, config readers, and any service that needs structured data exchange. Many teams also use it with XML or other formats through modules.
Jackson is often the better fit when a project needs deep control over JSON shape, performance tuning, or a large ecosystem of modules. Gson is simpler in some cases, while JSON-B fits Jakarta-based stacks more naturally. If you need custom serializers, polymorphic types, or tight Spring Boot integration, Jackson is usually the first option to review.
A strong Jackson specialist should know Java, Spring Boot, REST design, and testing of JSON contracts. It also helps to understand annotations, reflection, object construction rules, and edge cases like dates, enums, unknown fields, and versioned payloads. For larger systems, experience with OpenAPI and event-driven messaging is valuable too.
Jackson work can be small and focused, but the expert still needs the surrounding service context. If the task is only a custom serializer or a parsing bug, a short engagement may be enough. For platform-wide serialization rules, API migration, or cross-service consistency, the expert should understand the domain model and the surrounding Java stack.
Jackson work is often done remotely because it centers on code, tests, and API behavior. On-site collaboration can help when teams need to align on domain models, legacy data formats, or release coordination across departments in Germany. Many projects work well with a mixed setup.
Jackson core provides the low-level JSON processing. Databind turns JSON into objects and back, while annotations let you control names, formats, visibility, and custom logic. A good specialist knows how these parts work together and when to keep configuration simple.
Look for clean use of Jackson features, not just working code. Good signs are clear handling of unknown fields, dates, enums, nested objects, and error cases, plus tests that protect JSON output. The best specialists can explain why a mapping choice is safe for future changes.
Teams often need help with Jackson when payloads break after a schema change, when dates or enums serialize in the wrong form, or when annotations become hard to maintain. Another common case is mixing old and new API contracts during a migration. A specialist can usually stabilize the mapping without redesigning the whole service.
The average hourly rate of freelancers in Germany who have used Jackson in their recent projects is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers in Germany who have used Jackson in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Germany who have used Jackson in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used Jackson in their recent projects are German (100%), English (100%), and Arabic (22%).
The most common industries among freelancers in Germany who have used Jackson in their recent projects are Information Technology (100%), Telecommunication (67%), and Banking and Finance (56%).
The most common business areas among freelancers in Germany who have used Jackson in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (67%).
Main locations of FRATCH Experts, who have recently used Jackson
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
