Python Full Stack Developer

Python Full Stack Software Engineer

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.

Deep mathematical knowledge of route optimization algorithms is not required.

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:

o Google Maps / Google Routes API

o OneMap

o OpenStreetMap

o MapLibre

o Mapbox GL

o 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:

o BigQuery

o PostgreSQL

o MongoDB

o Excel

o 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:

o Google Maps / Google Routes API

o OpenStreetMap

o OneMap

o MapLibre

o Mapbox GL

o Leaflet

Backend – Must Have

• Strong Python development experience.

• FastAPI / REST API development.

• Experience with:

o PostgreSQL

o BigQuery

o 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:

o Claude Code

o OpenAI Codex

o Hermes

o 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