Creating Alibaba like B2B marketplace on GCP
Budget: ₹400 – ₹750 INR
TL;DR
Hiring founding Full-Stack Engineer for an AI-native B2B marketplace platform (Alibaba-style) on GCP. Python/TypeScript + strong ETL + Cursor/GPT-native workflows. Remote. Fast-moving. High trust.
Location: Remote (India, Hyderabad preferred)
Type: Full-Time Contract (3–6 months initial, with extension path)
*About the Role*
We’re building a global B2B marketplace platform — think Alibaba but leaner, AI-native, and built for speed. The MVP will enable suppliers and buyers to connect, showcase products, negotiate deals, and manage transactions.
In later phases, we’ll extend it with trade intelligence capabilities: commodity-level insights, supplier discovery, and market trends.
You’ll be the first engineering hire, working directly with the founder to architect and ship the MVP from scratch. We’re going heavy on AI-assisted development — tools like Cursor, GitHub Copilot, and ChatGPT will be part of your daily workflow.
*Tech Stack*
Cloud: GCP – Cloud Run, Cloud SQL (Postgres), Cloud Storage, BigQuery, Composer (Airflow)
Languages: Python (backend & ETL), TypeScript (frontend/backend), SQL
Frameworks: FastAPI (or Node.js), Next.js, Tailwind CSS
Data Infra: BigQuery, Cloud SQL, GCS, optional: Neo4j (on GCE)
Dev Tools: Docker, Cloud Build, Cursor, GitHub Copilot, GPT-4 APIs
Bonus Skills: Airflow DAG authoring, data scraping (Pandas/Scrapy), marketplace search/filter UI, product catalog ingestion
*What You’ll Build – MVP*
Multi-tenant supplier & buyer onboarding (auth, KYC upload, CRUD)
Product listing & catalog management
Buyer-supplier messaging & RFQ workflows
Search & discovery UI with filters, ranking, recommendations
Payment gateway integration (deposits, escrow-like features)
Infrastructure setup on GCP with logging, error handling, automation
*What You’ll Build – Future Extensions*
AI-powered supplier suggestion & ranking engine
Trade data ingestion pipelines (PDF/CSV/API-based) for market insights
Commodity, HS code, port, and company normalization layer
Graph-based supplier-buyer relationship mapping
Public-facing trade intelligence dashboards
*Must-Have*
3+ years experience with Python
Comfortable across backend + light frontend
Fluent in REST APIs, SQL, and GCP deployments
Proven ETL/data pipeline experience (Airflow, Pandas, or custom)
AI-native dev mindset (Cursor, Copilot, GPT in daily use)
Strong Git skills; can debug and ship without handholding
*Nice-to-Have*
Marketplace/ecommerce platform experience
Graph DB (Neo4j) or ML ranking logic (KNN/XGBoost)
Self-hosted search tools (Elastic) on GCE
Familiarity with trade/import/export datasets (DGFT, ICEGATE, UN Comtrade)
Early-stage startup experience
*Why This Role is Unique*
Define the architecture from zero
Own end-to-end product engineering (infra, data, UI, logic)
Ship real-world, monetizable marketplace features
Work in an AI-first environment that rewards speed and autonomy
Hiring founding Full-Stack Engineer for an AI-native B2B marketplace platform (Alibaba-style) on GCP. Python/TypeScript + strong ETL + Cursor/GPT-native workflows. Remote. Fast-moving. High trust.
Location: Remote (India, Hyderabad preferred)
Type: Full-Time Contract (3–6 months initial, with extension path)
*About the Role*
We’re building a global B2B marketplace platform — think Alibaba but leaner, AI-native, and built for speed. The MVP will enable suppliers and buyers to connect, showcase products, negotiate deals, and manage transactions.
In later phases, we’ll extend it with trade intelligence capabilities: commodity-level insights, supplier discovery, and market trends.
You’ll be the first engineering hire, working directly with the founder to architect and ship the MVP from scratch. We’re going heavy on AI-assisted development — tools like Cursor, GitHub Copilot, and ChatGPT will be part of your daily workflow.
*Tech Stack*
Cloud: GCP – Cloud Run, Cloud SQL (Postgres), Cloud Storage, BigQuery, Composer (Airflow)
Languages: Python (backend & ETL), TypeScript (frontend/backend), SQL
Frameworks: FastAPI (or Node.js), Next.js, Tailwind CSS
Data Infra: BigQuery, Cloud SQL, GCS, optional: Neo4j (on GCE)
Dev Tools: Docker, Cloud Build, Cursor, GitHub Copilot, GPT-4 APIs
Bonus Skills: Airflow DAG authoring, data scraping (Pandas/Scrapy), marketplace search/filter UI, product catalog ingestion
*What You’ll Build – MVP*
Multi-tenant supplier & buyer onboarding (auth, KYC upload, CRUD)
Product listing & catalog management
Buyer-supplier messaging & RFQ workflows
Search & discovery UI with filters, ranking, recommendations
Payment gateway integration (deposits, escrow-like features)
Infrastructure setup on GCP with logging, error handling, automation
*What You’ll Build – Future Extensions*
AI-powered supplier suggestion & ranking engine
Trade data ingestion pipelines (PDF/CSV/API-based) for market insights
Commodity, HS code, port, and company normalization layer
Graph-based supplier-buyer relationship mapping
Public-facing trade intelligence dashboards
*Must-Have*
3+ years experience with Python
Comfortable across backend + light frontend
Fluent in REST APIs, SQL, and GCP deployments
Proven ETL/data pipeline experience (Airflow, Pandas, or custom)
AI-native dev mindset (Cursor, Copilot, GPT in daily use)
Strong Git skills; can debug and ship without handholding
*Nice-to-Have*
Marketplace/ecommerce platform experience
Graph DB (Neo4j) or ML ranking logic (KNN/XGBoost)
Self-hosted search tools (Elastic) on GCE
Familiarity with trade/import/export datasets (DGFT, ICEGATE, UN Comtrade)
Early-stage startup experience
*Why This Role is Unique*
Define the architecture from zero
Own end-to-end product engineering (infra, data, UI, logic)
Ship real-world, monetizable marketplace features
Work in an AI-first environment that rewards speed and autonomy