Full-Stack Software Engineer (TypeScript)

Tanatasa; Singapore; On-site; SGD 67,000 - 100,000; Full time

Job summary

Tanatasa is hiring a Full-Stack Software Engineer (TypeScript) to ship across the React storefront, the agent API and MCP server, checkout and payments, and catalogue pipelines behind the scenes.

Location: Singapore-based. Engagement: Full-time. Function: Software engineering, ecommerce, AI agents. You will work on end-to-end features, API extensions, checkout improvements, and data pipelines while maintaining performance and accessibility.

Qualifications

• 3+ years of professional software engineering experience shipping web products.
• Strong TypeScript and modern JavaScript, with React on the frontend and HTTP APIs on the backend.
• Solid SQL and data modelling: design tables, write queries and plan migrations.
• Good testing, code review, logging and debugging production issues.
• Clear written communication: explain trade-offs and design notes.
• Product sense: help shoppers find, compare and buy what they need.
• Degree in computer science or equivalent practical experience.
• Eligible to work in Singapore.

Responsibilities

• Build and ship features end to end across the React storefront, agent API, MCP server, checkout and payments.
• Extend the agent API and MCP server for catalogue search, product comparison, cart building and handoff to checkout.
• Improve checkout, payments (Stripe), delivery and order tracking for reliability.
• Maintain catalogue, pricing and supplier pipelines, product feeds and data freshness.
• Keep site fast, crawlable and accessible: Core Web Vitals, structured data, sitemaps.
• Write tests, review code, monitor production logs and fix root causes.
• Design APIs and data to be safely used by AI agents.

Skills

TypeScript

React

HTTP APIs

SQL

Testing

Debugging

Code reviews

Communication

Education

Bachelor's degree in Computer Science

Tools

Cloudflare Workers

D1

Stripe

OpenAI

Job description

CareersOpen Role

Full-Stack Software Engineer (TypeScript)

Tanatasa is built so AI assistants can shop as easily as people. You will ship across the whole product: the React storefront, the agent API and MCP server that assistants call, checkout and payments, and the catalogue and supplier pipelines behind them.

LocationSingapore-based

EngagementFull-time

FunctionSoftware engineering, ecommerce, AI agents

SalarySGD 6,000 - 9,000 / month

What You Will Do

• Build and ship features end to end across the React Router storefront, Cloudflare Workers APIs and the D1 (SQLite) database.
• Extend the agent API and MCP server that AI assistants use to search the catalogue, compare products, build carts and hand checkout back to the shopper.
• Improve checkout, payments (Stripe), delivery and order tracking so purchases are reliable and easy to approve.
• Maintain catalogue, pricing and supplier pipelines, product feeds (Google Merchant Center, OpenAI and Meta) and the jobs that keep them fresh.
• Keep the site fast, crawlable and well structured: Core Web Vitals, structured data, sitemaps and accessible UI.
• Write tests, review code, watch production logs and fix issues at the root rather than patching around them.
• Use AI coding tools well, and design APIs and data that AI agents can use safely.

What We Are Looking For

• 3+ years of professional software engineering experience shipping web products to production.
• Strong TypeScript and modern JavaScript, with real experience in React on the front end and HTTP APIs on the back end.
• Solid SQL and data modelling: you can design tables, write efficient queries and plan safe migrations.
• Good habits around testing, code review, logging and debugging production issues.
• Clear written communication: you can explain a trade-off in a pull request or a short design note.
• Product sense: you care whether shoppers can actually find, compare and buy what they need.
• Degree in computer science or a related field, or equivalent practical experience.
• Eligible to work in Singapore.

Nice To Have

• Experience with Cloudflare Workers, Pages, D1, R2 or other edge or serverless platforms.
• Built or used MCP servers, LLM tool calling, or agent integrations.
• Ecommerce experience: catalogues, payments, shipping integrations, product feeds or marketplaces.
• Familiarity with technical SEO and schema.org structured data.

How Success Looks

First 30 days

Set up locally, learn the storefront, agent API and data model, and ship your first fixes to production.

First 60 days

Own a feature area end to end, such as agent search, checkout or a supplier pipeline, with tests and monitoring.

First 90 days

Lead a meaningful improvement that shoppers or AI assistants notice, and help shape the technical roadmap.