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Interview Questions

BigBasket Interview Experience 2026

BigBasket SDE and intern loops reward solid medium DSA plus honest full-stack project depth. Notes below are from public GeeksforGeeks and LinkedIn candidate reports.

Round-wise process at a glance

Round Typical format What clears you
OA (HackerEarth) 3 coding (medium-hard mix) Solve most/all; Trie readiness helps
Tech 1 Live DSA (~30-40 min solve + dry-run) Correct code + edge cases
Tech 2 EM-style: projects, web, DBMS, OS, sorts Clear stack rationale
HR ~30 min background + Bangalore move Communication + commitment

Technical interview experience 1 - SDE On-Campus 2022 (selected)

Technical interview experience 1

Candidate profile: Campus SDE; 4 rounds (3 tech + HR). Source: GeeksforGeeks Bigbasket SDE On-Campus 2022.

Online coding (HackerEarth, 3 problems)
  • Matrix traversal (medium): min-cost path (DP/recursion; max-sum style flipped to cost)
  • Word matching (hard): Trie implementation territory
  • Slot Machine 2.0: n spins of digit strings; sort each string and sum max digit at each index across spins (greedy)
  • Candidate solved all (multiple submits on Trie problem) and cleared
Technical Interview 1 (virtual)
  • One medium DSA: check whether array can be divided into subsequences of k increasing consecutive integers (GFG-linked pattern)
  • ~30-40 min solve with live questioning; dry-run then IDE run; corner cases checked
  • Result: Cleared
Technical Interview 2 (engineering manager)
  • Intro + web projects
  • Why MongoDB; SQL vs NoSQL; ACID
  • HTTP status codes; POST vs GET for same result
  • Is Node multithreaded?; OS basics
  • Favourite sort (merge) vs quick sort use cases
  • One puzzle
  • Result: Cleared to HR next day
HR (~30 min)
  • Background; have you used BigBasket app?
  • Willing to move to Bangalore (on-site)
  • Culture / WLB questions from candidate side
  • Final result: Selected

Takeaways

  • What decided it: Solving all three OA problems (including Trie) then correct live DSA with edge cases into EM stack rationale
  • Common fail: Clearing arrays while failing Trie/hard OA items, or not explaining why you chose your web stack
  • How to practise: Implement a Trie end-to-end; one subsequence/partition DSA; rehearse DBMS/OS and sort complexity aloud

Technical interview experience 2 - SDE Intern (campus)

Technical interview experience 2

Candidate profile: Software Engineering Intern; 3 rounds. Source: GeeksforGeeks BigBasket SDE Intern Interview Experience.

OA (screening)
  • Mix of DSA, SQL, API-style items
  • Named DSA: implement LRU Cache
  • SQL joins/aggregations expected
  • Filters for logic + DB + basic backend
Technical Interview 1
  • DSA: move all zeroes to the end of the array
  • Project discussion
  • Frontend/backend concepts; Next.js rendering (CSR/SSR) if listed
  • JWT: what it is, auth use, where stored; general auth flow
Technical Interview 2
  • Detailed project walkthrough
  • Backend architecture - APIs, DB handling
  • Frontend state management, components, UX
  • Tip from write-up: straightforward if fundamentals + full-stack clarity are solid

Takeaways

  • What decided it: Practical full-stack (JWT, rendering) plus classic DSA patterns on intern-style loops
  • Common fail: Honesty gaps on product familiarity, or refusing Bangalore relocation without a clear story
  • How to practise: Build a tiny JWT-authenticated page; practise one DSA pattern cold; rehearse relocation commitment

HR interview experience

HR interview experience

Candidate profile: Selected SDE campus candidate

HR questions
  • Tell me about yourself / background
  • Have you used the BigBasket app?
  • Relocation to Bangalore
  • Questions about culture and work-life balance
  • Final result: Offer when cleared

Key takeaways: Honesty beats pretending product familiarity - explain willingness to learn the domain and relocate.

Technical interview experience 3 - SDE-2 (lateral, public report)

Technical interview experience 3

Candidate profile: Lateral backend SDE-2 loop (multi-round). Source: public LinkedIn interview write-up (2025).

Reported round mix
  • DSA: graph / matrix-style problems (e.g. min falling path sum), palindrome construction variants
  • System design: order/inventory adjacent LLD and scaling discussion beyond fresher scope
  • Behavioural: ownership of production services and cross-team delivery
  • Note: Lateral loops add LLD/HLD depth; campus candidates should not assume the same difficulty bar

Key takeaways: Off-campus senior tracks still anchor on grocery-scale backend thinking - prepare design vocabulary if you apply above fresher band.

Technical interview experience 4 - Off-campus SE-I (pattern summary)

Technical interview experience 4

Candidate profile: Off-campus software engineer posts (aggregate from careers listings + candidate prep notes).

What differs from campus
  • Longer calendar (weeks between OA and HR) vs compressed campus days
  • Stack emphasis: Python/Django, REST, Git, MySQL/Postgres in multiple SE-I postings
  • OA still mixes medium DSA with SQL; project defence remains the differentiator in later rounds
  • Location questions may include Bengaluru, Hyderabad, Mumbai depending on req

Key takeaways: Match prep to the posting stack - Django roles will ask framework specifics, not only arrays.

Sample answers for high-frequency questions

Technical

Q. SQL vs NoSQL / why MongoDB?
A. SQL for relational integrity and joins; Mongo for flexible documents and fast iteration. Tie to your project’s access patterns - never “because tutorial.”

Q. Move zeroes to end?
A. Two pointers: write non-zeroes forward, fill rest with 0. O(n) time, O(1) space. Mention stability if required.

Q. LRU Cache?
A. Hash map + doubly linked list: O(1) get/put; evict tail on capacity. State concurrency caveats if asked.

Q. POST vs GET?
A. GET safe/idempotent/cacheable; POST for state-changing bodies. Using POST for reads breaks HTTP semantics and caching.

HR

Q. Willing to move to Bangalore?
A. Yes with a concrete reason (team/office/product). If constraints exist, state them early - do not surprise HR later.

Common questions checklist

OA

  • Matrix DP; Trie; greedy array/string; LRU; SQL

Interview

  • Medium DSA with dry-run; web stack defence; ACID; HTTP; sorts; OS
  • Projects end-to-end

HR

  • Bangalore; product awareness; background

Tips from successful candidates

Assessment tips

  • Practise Trie before BigBasket OA - hard word-matching shows up
  • Greedy digit/slot problems: sort per spin, aggregate columns

Interview tips

  • Dry-run before claiming done; EM rounds probe stack choices
  • Know merge vs quick trade-offs cold

HR tips

  • Be honest about app usage; commit clearly on location

BigBasket hub

HR interview questions

Placement papers

Preparation guide

Sources

These links are research inputs we used to map round structure and recurring questions - not copied page mirrors. We reorganized reports into process tables, outcome notes, and prep takeaways for BigBasket.

HR interview

BigBasket HR checks relocation and communication after technicals. Prepare framed answers on the dedicated page.

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Ready to prepare? Own medium-hard OA DSA, defend your web stack, and be clear on Bangalore.