We are looking for a Front-End Developer with a strong grasp of integrating custom JavaScript and CSS into Python & R Shiny applications. You will be responsible for the visual layer of a complex transportation analytics tool, transforming Figma designs into responsive HTML/CSS and managing complex map interactions using Leaflet.js. You will also play a key role in maintaining the integrity of the codebase through strict version control practices.
Key Responsibilities:
- Figma to Code: Translate high-fidelity Figma designs into pixel-perfect HTML/CSS templates compatible with Python & R Shiny (as seen in css_line_info.css)
- Map Visualization: Implement and customize Leaflet.js maps, including custom markers, dynamic polylines, popups, and layer controls
- Source Control & DevOps: Managed source control for multiple GitHub repositories, implementing strict version management schemes to ensure codebase integrity and traceable history
- Implemented GitFlow branching strategies across multiple repositories
- Data Visualization: Implement charts inside the application context
- RTL Support: Ensure full support for Hebrew (Right-to-Left) layouts and typography across the application
Requirements:
- JavaScript: Deep knowledge of Vanilla JS, DOM manipulation, and event handling
- Python: Experience with FastAPI, SQLAlchemy, and reticulate (running Python within R)
- CSS3: Flexbox, Grid, CSS Variables, and responsive design; experience handling RTL (Right-to-Left) layouts is essential
- Version Control: Expert proficiency with Git, GitHub, and GitFlow branching strategies
- Leaflet.js: Extensive experience manipulating Leaflet maps, custom panes, z-indexing, and handling GeoJSON layers
- R Shiny UI: Understanding of how R Shiny generates UI and how to inject custom HTML/JS templates