onsite
Java/Kotlin Internal Tools Developer - Planner 5D
Software Engineer
Develop and maintain Kotlin/JVM backend tools and pipelines for AI, rendering, and data conversion, leveraging Python for Blender scripting, MongoDB for storage, and Prometheus for observability. Focus on 3D model processing, geometry tooling, and CI/CD integration.
About the role
We’re looking for a Java/Kotlin Engineer who will develop tools and pipelines related to AI, rendering, data conversion, and similar areas.
Our tech stack:
- 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
Responsibilities:
- Develop and maintain Kotlin/JVM-based backend tools, console applications, utilities, and automation pipelines;
- Develop and support Python-based Blender rendering pipelines, including scene processing, automation and production rendering workflows;
- Work on platform components for preparing catalogs, launching processing pipelines, converting 3D models, and supporting internal production workflows;
- Build and maintain tooling related to 3D content processing, geometry, scene preparation, wall generation, model conversion, and other math-heavy tasks;
- Research and evaluate current and upcoming technologies related to 3D, rendering, media formats, data processing, and production automation;
- Write maintainable, high-performance, and high-quality code using best practices, SOLID principles, automated tests, code reviews, and clean architecture.
Required knowledge of:
- 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.
Nice to have:
- 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