GIS developer needed for map data visualization

We are an Australian real estate analytics SaaS platform looking for a GIS Specialist to take develop our map visualization layer. We have the data pipeline ready; we need you to build a frontend experience that is "buttery smooth," instant, and highly performant. The Current Stack & Architecture: Frontend: Next.js (React) Data Source: Pre-generated PMTiles (Protobuf Map Tiles) hosted on Cloudflare R2. Update Frequency: Monthly data refreshes. Current Status: We have scripts that pre-join data and generate the PMTiles. We need the client-side visualization logic. The Challenge: The previous implementation was non-performant and sluggish. We need a solution that feels instant. You will be responsible for: High-Performance Rendering: Implementing Mapbox GL JS or MapLibre GL to render heavy vector tile data without lag. Client-Side Filtering: Implementing dynamic filters (e.g., Property Type, Bed Count, Price Range) that interact with the vector tiles instantly. Smart Caching: ensuring that when a user switches between "Yield" and "Capital Growth," the transition is seamless. Security Aware: Experience handling authenticated map tiles (e.g., using JWTs, cookies, or Signed URLs within the map library). We are looking for: Deep experience with Vector Tiles (PMTiles/MVT) Proficiency with MapLibre or Mapbox GL JS: You know how to style layers dynamically using expressions Ideally MapLibre due to cost-efficiency. Performance Optimization: You know how to handle large datasets in the browser (WebGL) without crashing the UI. Cloudflare Workers experience would be ideal. We plan on using this to intercept requests to verify JWT before R2 tile retrieval. Also caching using Workers. To Apply (Required): Please answer the following in your proposal: Given our setup (PMTiles on R2), what is your proposed architecture and why? Optional: Share one link to a live map project you built that handles large datasets smoothly. Apply tot his job