Full Stack Developer

We're building Driwego's web e-commerce platform — a marketplace for the Malaysian automotive aftermarket that was built for a specific kind of buyer and a specific kind of seller. This role is part of the team doing that.

One of the two Full Stack Developer positions we're filling carries an additional scope: owning the technical infrastructure that makes Driwego findable, measurable, and legible — to search engines, to ad platforms, to email systems, and eventually to AI. If you're a developer who has ever wanted to own the plumbing behind how a product gets discovered, not just how it works, this is that role.

RESPONSIBILITIES

• Build and maintain the platform. Our stack is TypeScript end-to-end: Medusa.js on the backend, Next.js on the frontend, PostgreSQL for data. You'll work across both sides as a normal part of delivering features.
• Own features end-to-end. From requirement to backend logic (Medusa modules, services, workflows, migrations), through the API layer, into the UI. You're not handed work in slices. You carry features through.
• Own the technical marketing infrastructure. You'll build and maintain the systems that make Driwego discoverable and measurable: SEO infrastructure, Google ecosystem integrations (Search Console, Merchant Center, Ads infrastructure), email infrastructure, and the foundations for AI context — structured data, schema markup, and the signals that help Driwego surface where buyers are already looking. This is not campaign management. It is the infrastructure that campaigns run on.
• Initiate the AI marketing build. The scope includes building the tools and agents that will eventually power how Driwego operates in an AI-assisted marketing environment — internal tooling first, then buyer-facing AI experiences as the platform matures and the data is there to support it. You'll build the infrastructure. What gets deployed against it is a product decision. Earn that conversation.
• Use AI as a daily working tool. Our team uses Claude as part of the day-to-day development loop. We expect you to be effective with AI-assisted workflows — and to know when to trust the output and when not to.
• Translate vague requirements into working software. Business stakeholders give direction at a high level. You'll join discussions to assess feasibility, push back where it makes sense, and shape ideas into something buildable.
• Write clean, maintainable code. Code that your teammates and your future self can read and extend. Sensible structure, sensible naming, sensible commits.

DAY-TO-DAY STACK

• Language: TypeScript
• UI: Tailwind CSS, shadcn/ui, Radix UI, Medusa UI
• Frontend: Next.js (React.js)
• Marketing infra: Google Search Console, Merchant Center, GA4, email infrastructure
• Forms & Validation: React Hook Form, Zod
• Payments: Curlec (Razorpay)
• Error tracking: Sentry
• Logistics: (not specified)
• Analytics: EasyParcel, Mixpanel
• Search: Elasticsearch
• Cache: Redis
• CMS: (not specified)
• Reporting: Payload, Google Sheets API

QUALIFICATIONS

• 3+ years as a Full Stack Developer or in a similar end-to-end role.
• Strong TypeScript fundamentals. Comfortable with types, generics, and reading other people's TypeScript without guessing.
• Solid experience with Next.js (React.js) and a Node-based backend framework — Medusa.js, Express.js, NestJS, or similar.
• Comfortable with PostgreSQL through an ORM or query layer. Can write and run migrations, inspect tables through a GUI when debugging.
• Comfortable building forms with a schema-validated approach (React Hook Form + Zod, or equivalent).
• Comfortable styling with Tailwind CSS and component libraries built on Radix UI.
• Demonstrable understanding of SEO infrastructure — not theory, but actual implementation: structured data, Core Web Vitals, crawlability, canonical logic.
• Familiarity with Google's ecosystem for product discovery: Search Console, Merchant Center, or Ads tooling.
• Effective with AI-assisted development. You use AI for real work, not just autocomplete, and you can tell when its output is wrong.
• Strong written and verbal communication. Can explain a technical approach to teammates and non-technical stakeholders.
• Ability to research and problem-solve independently. We don't hand-hold.
• Bonus: Experience with Docker, GitHub, Vercel, Redis, Elasticsearch, Sentry, or AI agent tooling (LangChain, LangGraph, or similar).

NICE-TO-HAVES

• Experience in a startup environment. Comfortable with self-direction, ambiguity, and incomplete specs.
• Experience with marketplace or two-sided platforms.
• Familiarity with the e-commerce domain: carts, checkout, promotions, fulfilment, returns.
• Experience building or deploying AI agents in a product context.
• Understanding of GEO (Generative Engine Optimisation) — how products and platforms surface in LLM-based discovery environments.