JaCoCo Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used JaCoCo
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
Carsten Rösner
Last position:
Enterprise Product Owner at opta data IT GmbH
- Product responsibility for the central platform "one" as a group-wide web-based customer portal
- Coordination of the connection of 20 group companies to the product platform
- Derivation and steering of a group-wide product strategy and roadmap aligned with company goals
- Prioritization and bundling of strategic requirements from the various group companies
- Harmonization of different interests and moderation of complex decision-making processes at management level
- Ensuring the technical and business integration of the product into existing system landscapes, business processes, and business models
- Building transparent governance and decision-making structures for group-wide product development
- Representation of the product towards internal and external stakeholders at leadership level
Ananthraj Narasappa
Last position:
Founder at sprhava
Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.
- Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
- Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
- Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
- Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
- Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
- Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
- Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.
Achievements:
- Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
- WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
- Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
- Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
- Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
- Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
- InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.
Abhiroop Basu
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Stephan Heilmann
Last position:
Development, Tester at Telecommunications
Set up an operational contract information system. This is mainly used as an order management system - for migrating existing contracts as well as for creating and providing new contract bundles.
Sales agents can use it to order new services, modify existing ones and migrate service types, as well as provide price information to the customer.
This supports the marketing of new services as well as the replacement of old services for existing customers.
In addition, existing data is imported, processed (ETL) and provided via services for further use in the portal front end.
Analysis of the business and technical use cases (workflows, involved processes/systems, communication paths, security requirements)
Further development / creation of the front-end components (React/JavaScript)
Design and implementation of the business logic
Creation of the functional and technical component documentation
Test execution / test automation (Cypress, test coverage)
Team size: 8 people
Technologies: React, JavaScript, Rest (JSon), Yaml, Markdown, MariaDB (SQL), Docker, Swagger, Cypress
Tools: Webstorm, ReactDeveloperTools, VisualStudioCode, Word, DBeaver, Git/GitLab
Work management: GitLab
Platform: Linux
Build management: GitLab
Marie-Josée Mache
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.
Srecko Soric
Last position:
Test Consultant at PROSEQUM GmbH
- Taking over operational acceptance tests for internal and external applications in a preproduction environment
- End-to-end tests across multiple systems
- Planning and implementation of acceptances based on expected loads and service levels
- Creation of test plans and automated tests
- Monitoring of systems, log analysis and creation of test reports, monitoring charts and acceptance documentation
- Support during rollouts of security and OS patches in preproduction
- Load and performance tests as well as failover/rollback tests
- Testing SOAP/REST APIs with JMeter, Grafana and Kibana
- Batch tests with Bash and log analysis
- Load and performance tests of own applications
- Test automation with JMeter and PyTest
- Maintenance and creation of Bash scripting tests
- Manual system integration tests
Peter Großmann
Last position:
Senior Backend Developer at NetCom BW GmbH
- Development of microservices according to the TMF standard
- Adaptation of existing workflows to microservices (PNMGT, RADIUS, WBCI, ACS, VOIP, P2P)
- Migration of communication from RabbitMQ/REST to Kafka
- Development of Camunda processes for billing leased infrastructure
- Implementation of Kafka connectors for billing and inventory data systems
- Automation of the WBCI pre-coordination workflow
- Conducting unit, integration, and acceptance tests with business units
- Setting up CI/CD pipelines
- Troubleshooting support tickets
- Performing major refactorings of legacy code to adapt to new microservices
- Participating in meetings to gather and clarify requirements
- Technologies: Kubernetes, AWS DevOps, Apache Camel, Debezium, Python, TMF, Confluent, Kafka, OpenAPI, Java 21, Spring Boot, Docker, MapStruct, PostgreSQL, Maven, Camunda, Keycloak
Vladimir Maznicenko
Last position:
Developer at Financial services provider
- Support and further development of a framework for developing applications in a banking association: DynS/OSPE
- Migration of the framework to Java 11 and Java 17
- Java8, Java11 and Java17, Spring, Spring-Batch, Spring WebServices, Spring-Security, Spring-Data, JPA, Hibernate, OpenSource libraries etc.
- XML, JAXB, JSON, REST and SOAP services, DB2, Oracle, WebSphere or Liberty AS, FreeMaker, Junit, mock libraries, JaCoCo, Maven, IntelliJ, Eclipse, GitHub, SVN, Jira
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
Janusz Mazurek
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Henning Petersen
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Discover over 15,000 top freelancers
Statistics of experts using JaCoCo
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
1.8 years
Positions per freelancer
19
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
89%
Master's degree or higher
44%
Doctorate
22%
Certifications per freelancer
2
Most common languages
German, English, French
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 JaCoCo
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
Coverage for Java code
JaCoCo is a code coverage tool for Java projects. It shows which lines, branches, and methods are exercised by tests, so teams can see what is covered and what still needs work. It is used in unit, integration, and pipeline checks.
Typical delivery
- Coverage reports for Maven or Gradle builds
- Test feedback in CI pipelines
- Threshold checks for pull requests
- Reporting for multi-module Java systems
- Guidance on excluding generated or test-only code
Tooling around it
Strong specialists know how JaCoCo fits with JUnit, TestNG, Maven, Gradle, and CI tools such as Jenkins or GitLab CI. They also understand how to read missed branches, apply filters, and keep reports stable across local and pipeline runs.
When companies need help
Teams bring in freelance expertise when coverage reports are broken, build scans are hard to trust, or test gates slow delivery. In Germany, this often comes up in enterprise Java, finance, insurance, and internal business systems where test quality needs to be clear and repeatable.
What good specialists do
Good JaCoCo professionals do more than turn on a plugin. They check report quality, validate class paths, handle multi-module setups, and make sure the numbers reflect real test behavior. They also explain what the report means in plain language so the team can act on it.
Choosing the right expert
Look for professionals who have worked with Java build automation, test design, and CI failure analysis. They should be able to spot false gaps, resolve configuration issues, and improve coverage without adding noise. The best experts leave behind a setup the team can maintain.
Frequently asked questions
What clients ask us most about JaCoCo — answered in short.
JaCoCo is used to measure test coverage in Java code. It helps teams see which lines, branches, and methods are exercised by automated tests, so they can spot untested logic and weak spots in a build. It is especially useful when coverage gates are part of CI.
JaCoCo is widely used in modern Java builds because it works well with Maven, Gradle, and common CI setups. Compared with older tools like Cobertura, it is usually chosen for smoother integration and more up-to-date Java support. The right choice still depends on the build stack and reporting needs.
A strong JaCoCo specialist usually knows JUnit or TestNG, Maven or Gradle, and basic CI tooling. They should also understand test structure, class loading, and how multi-module Java projects affect coverage. Without those skills, reports can look correct but still mislead the team.
A good JaCoCo expert can start with the build files, test setup, and a sample report. They usually need to know whether the issue is reporting, pipeline integration, or coverage quality. For larger systems, access to module structure and existing test conventions helps a lot.
Yes, JaCoCo work is often done remotely because it centers on build configuration, test runs, and report review. For teams in Germany, remote collaboration works well if the expert can access the repository, CI logs, and a clear contact in the engineering team. On-site help is only needed when the build setup is deeply tied to local infrastructure.
If JaCoCo reports are missing, fail in CI, or show coverage that nobody trusts, it is time for help. Other signs are complex multi-module builds, unstable thresholds, or teams that keep fighting the same plugin issue. A specialist can usually isolate whether the problem is configuration, tests, or code structure.
Look for a JaCoCo expert who can explain why coverage is low, not just how to increase it. They should know the difference between line, branch, and method coverage, and they should be able to fix build and pipeline issues without breaking test execution. Clear communication matters as much as technical depth.
Often yes, because JaCoCo is most useful when it is tied to a sensible test strategy. A good freelancer can point out where unit tests are enough, where integration tests matter, and where coverage targets are hiding poor test design. That makes the report more useful than a simple number on a dashboard.
The average hourly rate of freelancers in Germany who have used JaCoCo in their recent projects is 92 €, which corresponds to a daily rate of about 740 € based on an 8-hour working day.
Of the freelancers in Germany who have used JaCoCo in their recent projects, 89% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Germany who have used JaCoCo in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used JaCoCo in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Germany who have used JaCoCo in their recent projects are Information Technology (100%), Banking and Finance (67%), and Telecommunication (67%).
The most common business areas among freelancers in Germany who have used JaCoCo in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (92%).
Main locations of FRATCH Experts, who have recently used JaCoCo
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
