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ShopBack Interview Preparation

Medium

E-Commerce / Rewards · India

200+ questions4 rounds5 expert tipshttps://www.shopback.com

About ShopBack

ShopBack operates a shopping rewards and cashback platform used across the Asia-Pacific region and beyond, spanning thirteen markets and continuing to expand internationally. The proposition is simple for shoppers — earn money back on purchases they were already making — but the engineering behind it is not: the platform integrates with thousands of merchants, tracks attribution reliably enough to pay real money against it, and handles the transaction volumes of a regional consumer business. The company describes its mission in terms of saving shoppers money and time and delivering delight every day, and it operates engineering hubs across several countries. Its technology teams cover backend services, data, quality engineering and mobile, and the company runs a structured internship programme that places students on real product teams. Quality engineering matters unusually much in this business: an attribution or payout bug is not a cosmetic defect but a direct financial and trust problem, so testing is treated as an engineering discipline rather than a final checkpoint. For students interested in consumer-scale systems and the reliability engineering that supports them, ShopBack offers exposure to genuine regional scale.

Interview Rounds4

1
Online Assessment60–90 min

2 DSA coding problems (medium difficulty), sometimes a product/analytical case

2
Technical / Coding Interview45–60 min

DSA — arrays, strings, hashing, sorting. May include SQL queries.

3
Low Level Design or Product Round45–60 min

Design a system component (cart, search, notification) or improve a product feature

4
HR / Culture Round30 min

Motivation, past projects, growth mindset, teamwork, company values alignment

Practice Questions8

Key Topics

  • Data Structures & Algorithms100q
  • Low Level Design (LLD)45q
  • Product & Business Thinking30q
  • SQL & Databases20q
  • System Design Basics25q

Expert Tips

  • E-commerce companies value product thinking — understand how their platform works as a user before the interview.
  • LLD is frequently asked — practice designing components like rate limiter, order state machine, and notification service.
  • SQL joins and aggregation queries often appear — practice GROUP BY, window functions, and subqueries.
  • For product rounds, use the CIRCLES framework: Customers, Insights, Revenue, Competitors, List solutions, Evaluate, Summarize.
  • Big-sale readiness is a key concern — for system design, discuss how your design handles 10× traffic spikes.