JMX Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used JMX
Tamás Eppel
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Thorsten Matzner
Last position:
Odoo Implementer at N.N.
As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.
Main Responsibilities
Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)
Key Achievements
Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)
Impact
Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration
This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.
Rainer Diekmann
Last position:
Enterprise Architecture Management / Backend Software Developer at Polizei Hamburg
- Several projects in a police context
- Model and document police procedures/projects with Archimate (as-is/to-be) in the context of P20 (BKA)
- Create software architectures with microservices
- POC development with Springboot/Docker/Kubernetes
- Project size: 10 people
- Enterprise architecture management with Togaf and Archimate
- Backend software development Springboot
- DevOps with Kubernetes
- Implemented using: Java 17/21, Springboot 3, P20 architecture, Togaf, Archimate
Ulm Paunel
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.
Celso Kurrle
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
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.
Jan G.
Last position:
Master Data Application at confidential
Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.
Implementation, architecture, project management.
Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.
Günter Schellenberger
Last position:
Teacher for mathematics and computer science at Helene Lange Gymnasium Fürth
- Teaching mathematics and computer science
Claus Kerpen
Last position:
Developer, Architect at Freelance Developer
Discover over 15,000 top freelancers
Statistics of experts using JMX
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
2.3 years
Positions per freelancer
21
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
67%
Certifications per freelancer
2
Most common languages
German, English, Spanish
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 JMX
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
JMX in practice
JMX, short for Java Management Extensions, is a standard way to manage and monitor Java systems at runtime. It gives teams access to metrics, settings, and control operations without restarting the service. Companies use it for JVM visibility, operational checks, and controlled administration.
What experts deliver
- MBeans for application and JVM state
- Remote monitoring and secure access setup
- Alerts, operations, and admin hooks
- Integration with tools that read JMX metrics
These experts often work on services, middleware, batch systems, and platform components that need live control. They also connect JMX with logging, dashboards, and incident workflows.
Ecosystem and tools
Strong professionals know the Java platform and the pieces around JMX, not just the API surface. They work with standard MBeans, MXBeans, JConsole, VisualVM, and JVM flags that affect remote access and security. They also understand how class loading, threading, and memory behavior show up through JMX.
When companies bring help
Teams bring in freelance expertise when JMX is present but poorly structured, unsafe, or hard to consume. Common cases include legacy Java systems that need better observability, new services that should expose clean management data, and internal operations work that needs remote control without guesswork. In Germany, this often matters for distributed enterprise environments where Java systems stay in production for a long time.
What strong specialists do
Good JMX specialists keep the management interface stable, useful, and safe. They avoid leaking internal details, choose clear attribute names, and make operations idempotent where possible. They also document what each metric and action means so operations teams can use it without risk.
Signs you need JMX expertise
- JMX data exists but no one trusts it
- Remote access works in one environment only
- Operations are exposed without proper security
- Monitoring tools cannot read the service cleanly
Experts can turn an unclear management layer into something predictable. That helps when teams need production diagnostics, controlled maintenance actions, or a cleaner bridge between application code and operational work.
Frequently asked questions
Key details about JMX, drawn from the questions we get asked most.
JMX is used to expose runtime information and management actions from Java applications. Teams use it to monitor health, memory, threads, queues, caches, and custom business signals, then trigger controlled operations when needed. It is common in services that need live administration without a restart.
JMX is a management and monitoring interface inside the JVM, while Micrometer and Prometheus are usually about collecting and exporting metrics. JMX is better for direct runtime management, custom operations, and internal JVM visibility. Many projects use JMX as the source and then export selected data to other monitoring tools.
JMX expertise helps when a Java system needs safer monitoring, clearer MBeans, or remote management that actually works in production. It is also useful when a team inherits a legacy service with existing JMX hooks that need cleanup. If operations depends on the system, a specialist can prevent brittle setups.
A strong JMX specialist should be comfortable with core Java, the JVM, threads, memory, and secure network configuration. Knowledge of MBeans, JConsole, VisualVM, application servers, and observability tooling is also valuable. For remote work, they should understand TLS, authentication, and firewall constraints.
Yes, Java Management Extensions are still relevant wherever Java runs and needs runtime control. It is especially useful in enterprise services, integration systems, and long-lived platforms where operators need direct access to live state. Modern observability stacks often complement JMX rather than replace it.
JMX can work remotely, but secure configuration matters because remote access can be risky if left open. Many projects in Germany run fine with remote collaboration, especially for code changes and monitoring design. On-site help only becomes useful when network rules, legacy infrastructure, or internal access policies are hard to untangle.
Look for a JMX specialist who can explain why each MBean exists and how operators should use it. Good work keeps names consistent, avoids noisy or duplicated metrics, and treats management actions with care. Clear documentation and secure defaults are strong signs of quality.
A common JMX mistake is exposing too much internals and too little useful operational detail. Another is forgetting security, which can make remote management unsafe or unusable. Weak naming, unstable object structures, and no documentation also make the setup hard to maintain.
The average hourly rate of freelancers in Germany who have used JMX in their recent projects is 92 €, which corresponds to a daily rate of about 739 € based on an 8-hour working day.
Of the freelancers in Germany who have used JMX in their recent projects, 83% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Germany who have used JMX in their recent projects have 27 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 JMX in their recent projects are German (100%), English (100%), and Spanish (10%).
The most common industries among freelancers in Germany who have used JMX in their recent projects are Information Technology (90%), Retail (60%), and Banking and Finance (50%).
The most common business areas among freelancers in Germany who have used JMX in their recent projects are Information Technology (100%), Product Development (90%), and Operations (70%).
Main locations of FRATCH Experts, who have recently used JMX
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
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Philipp Thomaschewski
FRATCH CEO
