Kotlin/Java Internal Tools Developer

Kotlin/Java Internal Tools Developer
About us:

Planner 5D is a global hub for home design, uniting over 90+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.

Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.

We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.

We’re looking for a Kotlin/Java 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:
6+ years of 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 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.