Full Stack Software Engineer (Map Visualization & Routing)

Job Description – Full Stack Software Engineer (Map Visualization & Routing)

Role Overview

We are looking for a hands-on Full Stack Software Engineer who can work across both frontend and backend development.

The engineer will bridge backend data pipelines and routing services with intuitive map-based user interfaces . The ideal candidate should have a good understanding of UI/UX along with strong backend engineering and API development skills.

Key Responsibilities

1. Map-Based WebApp & Visualization

• Design and develop responsive, high-performance map-based WebApps .
• Build interfaces to compare route travel times and analyze regional delivery distribution.
• Integrate mapping services such as:
• Google Maps / Google Routes API
• OneMap
• OpenStreetMap
• MapLibre
• Mapbox GL
• Leaflet
• Implement route overlays, polygon labeling, map layers, and geographical statistics.
• Ensure complex geographical information is presented in a clean and uncluttered UI .

2. Data Pipelines & Backend Services

• Build and maintain data pipelines to extract, transform, and clean data from:
• BigQuery
• PostgreSQL
• MongoDB
• Excel
• CSV
• Implement data validation and automated data-quality checks.
• Ensure data is accurate and ready for simulations and analysis.
• Develop backend APIs using Python and FastAPI .
• Provide routing and simulation results to the frontend visualization layer.

3. Route Optimization Deployment

• Support Data Scientists in deploying and running route optimization simulations.
• Containerize applications and workloads using Docker .
• Debug backend, API, integration, and runtime issues.
• Support workload-rebalancing simulations.
• Assist with deployment and performance testing of optimization workloads.

Note: Candidates do not need advanced mathematical knowledge of route optimization algorithms.

4. AI-Assisted Development & Quality

• Use AI-assisted development tools such as Claude Code, Codex, or Hermes .
• Review and validate AI-generated code before production use.
• Maintain strong coding standards across frontend and backend.
• Implement TypeScript/Python typing, automated testing, linting, and CI/CD .
• Prevent regression and low-quality AI-generated code through proper engineering practices.
• Maintain API documentation and technical documentation.

5. Secure Remote Delivery

• Work exclusively through a secure VDI / jump-host environment .
• Follow strict zero-data-egress policies.

Technical Requirements

Frontend – Must Have

• TypeScript
• ReactJS or Svelte
• Experience with map/geospatial visualization.
• Experience with one or more:
• Google Maps / Google Routes API
• OpenStreetMap
• OneMap
• MapLibre
• Mapbox GL
• Leaflet

Backend – Must Have

• Strong Python development experience.
• FastAPI / REST API development.
• Experience with:
• PostgreSQL
• BigQuery
• MongoDB
• Docker / containerization
• Backend API integration and debugging.

Data & Testing

• Experience building ETL/data pipelines .
• Experience handling tabular and/or spatial datasets.
• Data validation and quality checks.
• Automated testing for frontend and backend applications.
• Experience with type checking, linting, and regression testing.

AI Development

• Hands-on experience with AI-assisted coding tools such as:
• Claude Code
• OpenAI Codex
• Hermes
• Similar AI development tools
• Ability to critically review, test, and improve AI-generated code.

Nice to Have

• Experience with NVIDIA GPU environments .
• Experience with NVIDIA cuOpt .
• Route optimization experience.
• Logistics, fleet management, transportation, or supply-chain technology experience.
• Experience with geospatial or GIS platforms.
• Experience with workload optimization or simulation platforms.

Ideal Candidate

The ideal candidate is a pragmatic full-stack builder who can:

• Work comfortably across frontend and backend.
• Build intuitive and modern map-based interfaces.
• Handle multiple data sources and data structures.
• Ensure data accuracy and consistency.
• Develop and maintain APIs and data pipelines.
• Work effectively with Data Scientists.
• Use AI coding tools productively while critically validating the generated code.
• Maintain strong testing and engineering standards.

1. Mapping WebApp

A responsive WebApp for:

• Geospatial delivery visualization
• Interactive route comparison
• Polygon labeling
• Workload visualization
• Geographical statistics

2. Backend APIs & Data Pipelines

• End-to-end data ingestion pipelines.
• Data validation and transformation.
• FastAPI services serving route and simulation data.

3. Model Serving & Deployment

• Dockerized backend environments.
• Deployment and execution of route optimization workloads.
• Support for simulation and workload-rebalancing use cases.

4. Automated Testing & AI Quality Suite

• Frontend and backend automated testing.
• Type checking and linting.
• CI/CD quality checks.
• Regression prevention and AI-generated code validation.

Key Skills

Full Stack | TypeScript | ReactJS | Svelte | Python | FastAPI | Google Maps | Google Routes API | OneMap | OpenStreetMap | MapLibre | Mapbox GL | Leaflet | PostgreSQL | BigQuery | MongoDB | Docker | Data Pipelines | REST APIs | GIS | Geospatial | AI Coding Tools | Automated Testing

👉 If you have relevant experience in Front-End, Back-End, or Full-Stack development and feel your skills match this project, we encourage you to apply.