JProfiler Experts in Germany
matched in minutes with vetted specialists and the power of AI.Hire experts who use JProfiler to trace slow code, inspect memory use, and diagnose thread and lock issues in Java systems. Bring in specialists for profiling sessions, leak analysis, and performance tuning across server apps and services, with fast, precise matching of vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used JProfiler
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.
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
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.
Fabio Fabrizio
Last position:
Senior Software Developer Backend/Frontend at Logistikunternehmen Bremerhaven
- Designed and implemented a slot management system for efficient control of truck arrivals and reducing wait times in logistics operations
- Requirements analysis
- Designed and developed a frontend with React
- Backend development with Spring Boot / JPA
- Designed and implemented REST APIs with Spring Boot OpenAPI
- Technologies: Spring Boot, React, Java, JUnit, Mockito, IBM Db2, SQL, Maven, JPA, Docker, Kafka, SOAP, REST, Git, XML, HTML, CSS, JSON, OpenAPI, Stoplight, Jenkins, WebSphere Application Server, Freemarker, IntelliJ
- Methodology: Scrum, Clean Code
- Team size: 5
Dimitri Simon
Last position:
Fullstack Developer, Integrator at Generali Deutschland Versicherung AG
- Developing automated build and deployment processes for the exclusive front office systems
- Integrating the front office systems into the IT infrastructure
- Developing innovative, user-friendly sales software for financial advisors
- Ensuring quality and flexibility through automation and working with CI/CD
- Working according to DevOps principles
- Operating the software together as a team in the AWS cloud and Azure cloud
- Deploying software artifacts to testing and production environments
- Maintaining the test environments
- Performing error analysis and providing information for further root cause analysis
- Maintaining and supporting the build pipeline
- Supporting load testing
- Coordinating the batch execution schedule with batch automation
- Creating concepts to further develop the software packaging process
- Building and delivering components to partners
- Developing GitLab and Jenkins pipelines for building, deploying and integrating components
- Automating processes with Spring Boot applications with a GUI (Thymeleaf, Angular 19)
- Developing RESTful Spring Boot applications with Kotlin and Angular 19, JDBC and REST accesses, data exchange via SFTP, XML (JAXB)
- Designing components using Domain-Driven Design (DDD)
- Replacing cmd and bash scripts with Spring Boot applications with a GUI
- Replacing Java 8 applications with JSP by Spring Boot 3 applications (Thymeleaf, Angular)
- Implementing frontend and backend authentication via Keycloak
- Writing JUnit tests with Mockito
- Increasing code coverage for SonarQube analysis
Jan Mönnich
Last position:
Interface project at HR Solutions GmbH for Rhineland-Palatinate / BAMF at HR Solutions GmbH
- Developed an adapter from the central foreigner register to an internal application
- REST, JSON, OpenAPI, Spring Boot, Vue, Java, Maven, XAusländer
- Jira/Confluence/GitHub, Scrum+Kanban
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using JProfiler
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
1.4 years
Positions per freelancer
19
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Healthcare, Government and Administration
Certification focus areas
Information Technology, Human Resources, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
43%
Certifications per freelancer
3
Most common languages
German, English, Russian
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 JProfiler
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 it does
JProfiler is a Java profiling tool from ej-technologies. It helps specialists see where time, memory, threads, and database calls go in a running JVM. Companies use it to find bottlenecks before they affect users.
Typical work
- CPU profiling for slow request paths
- Heap analysis for leaks and object growth
- Thread and lock inspection for contention
- JDBC and SQL call tracing
- Swing, servlet, and application server diagnostics
Strong ecosystem fit
JProfiler fits Java stacks built on Spring, Jakarta EE, Tomcat, WildFly, and similar runtimes. It is also used with remote JVMs, containers, and staging systems where live diagnostics matter. Strong professionals know how to connect it safely and read the data without guesswork.
When to bring in help
Bring in freelance expertise when a service gets slower, memory use climbs, or thread dumps do not explain the problem. It also helps during release hardening, production incident review, and performance work on legacy Java systems. In Germany, remote support is common, but on-site sessions can help when teams want live pairing with operations.
What good specialists do
Good JProfiler specialists do more than open a flame graph. They compare snapshots, isolate the real hot spots, and connect profiling results to code paths, queries, and runtime settings. They explain the findings clearly so teams can act on them.
Deliverables
A typical engagement may include a profiling setup, a short findings report, and specific tuning advice. Some specialists also help verify improvements after code or configuration changes. For teams searching for JProfiler, JProfiler by ej-technologies, or a Java profiler, the focus should stay on clear evidence and practical fixes.
Frequently asked questions
Questions about JProfiler? Start with the answers below.
JProfiler is used to inspect performance problems in Java applications. It helps specialists find slow methods, memory leaks, thread contention, and expensive database calls. Teams use it when they need evidence, not guesses, about where the JVM is spending time and memory.
JProfiler is often chosen for its broad profiling workflow and detailed views across CPU, memory, threads, and database access. VisualVM is useful for lighter diagnostics, while YourKit is another strong commercial alternative. The right choice depends on the stack, the issue, and how deep the investigation needs to go.
A strong JProfiler specialist should also understand Java runtime behavior, garbage collection, thread states, JDBC, and common frameworks such as Spring or Jakarta EE. They should be able to read code, server logs, and thread dumps together. Good communication matters because the final value is a clear fix plan.
A JProfiler engagement makes sense when a system is slow, unstable under load, or showing memory growth that is hard to explain. It is also useful before a release when teams want to confirm that a change did not add a new hotspot. If the issue is broad or recurring, focused profiling can save a lot of trial and error.
Yes, JProfiler works well in remote setups because specialists can review data, guide sessions, and analyze snapshots without sitting next to the team. This is common for distributed Java teams, including those working with companies in Germany. On-site support can still help when live troubleshooting with operations is needed.
A good JProfiler expert explains why a method is slow or why memory grows, not just what the charts show. Look for someone who can tie profiling results to concrete code paths, configuration, and runtime behavior. Clear recommendations and a repeatable diagnosis process are strong signs of quality.
A JProfiler engagement should end with practical outputs: the source of the bottleneck, the evidence behind it, and specific next steps. That may include annotated snapshots, a short findings summary, and guidance for retesting after changes. The goal is to help the team fix the issue and verify the improvement.
No, JProfiler is also useful in development, test, and staging environments. Specialists use it to compare builds, check behavior under load, and catch leaks before users do. It is most valuable when teams want to understand runtime behavior in a real JVM, not just review static code.
The average hourly rate of freelancers in Germany who have used JProfiler in their recent projects is 97 €, which corresponds to a daily rate of about 779 € based on an 8-hour working day.
Of the freelancers in Germany who have used JProfiler in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 43% hold a doctorate.
On average, freelancers in Germany who have used JProfiler in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used JProfiler in their recent projects are German (100%), English (100%), and Russian (29%).
The most common industries among freelancers in Germany who have used JProfiler in their recent projects are Information Technology (100%), Healthcare (71%), and Government and Administration (71%).
The most common business areas among freelancers in Germany who have used JProfiler in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (100%).
Main locations of FRATCH Experts, who have recently used JProfiler
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.
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