Planner5D - Java/Kotlin Internal Tools Developer

• Languages: Kotlin, Python • Core development: Kotlin/JVM, Java, coroutines, serialization, reflection, dependency injection with Dagger • 3D and rendering workflows: Blender Python scripting, glTF processing, 3D model conversion, geometry/math-related tooling, scene and asset preparation pipelines • Data and storage: MongoDB, SQLite, FlatBuffers • Infrastructure and observability: Prometheus metrics, Sentry, CI/CD, Git, Git LFS, internal monitoring and logging • Strong experience with Java and/or Kotlin on JVM; • Practical experience with Python, willingness to work deeply with Python-based Blender rendering pipelines; • Good understanding of JVM ecosystem: Gradle, dependency management, modular code structure, debugging, profiling, logging, and performance optimization; • Solid SQL knowledge (SQLite, MySQL, PostgreSQL); • Good understanding of object-oriented programming, SOLID principles, clean architecture, and maintainable code design; • Ability to work with math-heavy, data-heavy, or algorithmic tasks and turn them into stable production solutions; • Ability to write clean, reliable, high-performance code and cover critical logic with tests; • Knowledge of Linux, common tools, and Linux ecosystem; • Fluent in English. • Experience with Python, C / C++ languages; • Experience with popular libraries like Spring, Dagger, JUnit, Apache Commons; • Understanding of 2D / 3D technologies and software (for example OpenGL, WebGL, Raytracing, Blender); • Understanding of Mathematics, Geometry, Computer Vision; • Understanding of Kubernetes, Docker and nearby technologies. • Several example of tasks you will be doing: • Process data from APIs, databases, JSON, XML, and other sources; • Transform assets (images, 3D models, videos, etc.) into different formats; • Import and export of 2D/3D data from and to .dxf/.dwg/.blend formats; • Write a Blender plugin to load data and provide additional modeling functionality; • Write high performance code using CPU and GPU to the max (using parallel, concurrent programming like coroutines, threads, Rx, promises, futures, etc.); • Build processing pipelines, where multiple threads are used to max out CPUs and do lots of different processing on multiple threads/coroutines/Rx/java streams/etc.