AST-2026-005 Dynamic Pricing Engine for Parking & EV Charging Full Stack Developer 10 PFE

Project Summary

• Build a powerful backend engine to calculate dynamic parking and EV charging rates based on multiple criteria (real-time demand, time of day, location, occupancy, weather conditions, energy source).
• Develop a backoffice for managing and configuring tariff rules and a dashboard providing analytics and reporting to support data-driven decision-making.

Responsibilities

• Design and implement REST APIs and backend logic (pricing algorithms, rules engine, real-time adjustments) using Go (GoLang).
• Implement frontend backoffice and dashboard components with React to configure tariffs, view analytics, and generate reports.
• Integrate data sources (occupancy, weather, energy source, demand signals) and ensure the system computes rates in near real-time.

Technical Stack & Environment

• Backend: GoLang, REST APIs, containerized with Docker.
• Data storage: PostgreSQL or SQLite depending on deployment needs; analytics/reporting components integrated on top of these stores.
• Frontend: React for backoffice UI and dashboard; APIs consumed via secure REST endpoints.

Deliverables & Expected Outcomes

• A working dynamic pricing engine capable of calculating and updating tariff rates according to configurable rules and external inputs.
• A functional backoffice UI to manage tariff configurations and a dashboard with analytics, visualizations, and exportable reports.
• Containerized application artifacts (Docker) with documentation and tests to enable local development and deployment.

How to Apply

• To apply, send your application specifically for this project to careers@asteroidea.co
• In your application include a brief cover note describing relevant experience with Go, React, databases (PostgreSQL/SQLite), Docker, and any projects involving pricing or real-time systems.