Full Stack Engineer

Kicks Machine is India's fastest-growing and most trusted marketplace for authenticated hype & luxury products, with a focus on sneakers, streetwear, luxury bags, watches and more.

We're looking for a Full Stack Engineer who wants to build real products, automate operations, and own systems end-to-end.

What You'll Work On

1. Nexus — Vendor & Ops Dashboard

Our internal platform for vendors and operations teams to manage inventory, orders, bidding and workflows in one place.

• Build new features and improve the existing system.
• Work across frontend, backend, APIs and databases.
• Turn operational problems into simple, scalable product solutions.

2. Website Optimization & Automation

• Improve our Shopify storefront across performance, UX and conversion.
• Build automations connecting Shopify, courier partners and internal tools to reduce manual work.
• Work with Shopify GraphQL APIs and build data-driven workflows.

3. Native App — Build From Scratch

• Scope and build our native mobile app from the ground up.
• Build experiences for browsing, buying, bidding and order tracking.
• Use learnings from our existing web platform to shape the product.

Who We're Looking For

• Strong understanding of frontend, backend and databases.
• Experience or strong interest in Shopify, GraphQL, APIs and workflow automation.
• Comfortable using Claude Code, ChatGPT/Codex and AI coding tools as part of your everyday development workflow.
• Someone who ships quickly, learns independently and validates ideas using real data.
• Strong ownership mindset — you don't just write code, you own the problem and the outcome.

What This Role Is Like

This is a builder's role, not a maintenance role.

You'll work directly with the founding team, make fast decisions, build from scratch, and see your work directly impact a growing e-commerce business. We're a lean, bootstrapped team where ownership comes early and bureaucracy is minimal.

Location: Kicks Machine Headquarters, Dehradun

Work Mode: Work From Office — Full-time

Experience: 0–2 years

Compensation: 3.2 LPA

If you enjoy building fast, experimenting with AI, and solving real business problems with code — this role is for you.