Swiggy Interview Questions (2026)
11 questions · 7 experiences · GeeksforGeeks (10) · LeetCode (8)
Browse by role
Top topics
18 entries
Swiggy Interview Experience | Set 3 (For SDE-2)
Swiggy Interview Experience | Set 2 (On-Campus)
Swiggy Interview Experience for SDE-1 | On-Campus 2021
Swiggy Interview Experience for SDE-2
Swiggy Interview Experience for SDE-1 (Bangalore 1.5 Years Experienced)
Swiggy Recruitment Process
Swiggy Interview Experience (SDE-2)
Interview Experience with Swiggy
#121 Best Time to Buy and Sell Stock
#96 Unique Binary Search Trees
#72 Edit Distance
Swiggy Interview Experience for Data Scientist 1 Role
Swiggy Interview Experience For Associate Software Developer Engineer (ANDROID)
#3169 Count Days Without Meetings
#2943 Maximize Area of Square Hole in Grid
#355 Design Twitter
#1711 Count Good Meals
#875 Koko Eating Bananas
Swiggy Interview Experience | Set 3 (For SDE-2)
Question Details
- Online coding test - HackerEarth 2. Machine coding round - Question and Input attached. 3. F2F - DS & Algo Round a) Tail recursion for Fibonacci - https://www.geeksforgeeks.org/dsa/tail-recursion/ b) https://www.geeksforgeeks.org/dsa/write-a-function-to-get-the-intersection-point-of-two-linked-lists/ c) Sorted Array, count frequency of all numbers in less than O(n) d) Longest Palindromic Substring 4. F2F - Design Round Design a catalog system - Restaurants, Items, Categories, VariantGroups like Size, Variants like (S,M,L), AddOnGroups like Extra cheese, AddOns like White Cheese, Yellow Cheese. Price of item will vary on variant selected and even addon price will vary on variant selected. Discussion about work done, how to make systems robust, fallbacks for system failures. 5. F2F - Hiring Manager Round Discussion about work, challenges, ownership, why swiggy? All Practice Problems for Swiggy !
Topics
More from Swiggy
Related companies
Swiggy Interview Process Overview
The Swiggy interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Swiggy runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Swiggy coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Swiggy Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Swiggy updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Swiggy reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Swiggy's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Swiggy Interview Mistakes
Reports tagged "no hire" at Swiggy consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.