Interview prep · Swiggy
Swiggy Interview Questions 2026: SDE, Backend & Data Science Guide
Swiggy interview questions for SDE 1, SDE 2, backend engineer, and data scientist roles. Covers coding OA, system design, and technical interview rounds with prep strategy.
Swiggy hires SDE 1, SDE 2, backend engineers, and data scientists in Bengaluru. Here is the complete interview guide — OA, system design, and technical rounds.
Swiggy interview process overview
Swiggy conducts 3-4 rounds: online assessment, 2 technical interviews, and a hiring manager round. Process takes 1-2 weeks.
OA: 2 coding problems (medium/hard) on HackerRank. 60-90 minutes.
Technical round 1: Coding + CS fundamentals + project discussion.
Technical round 2: System design (for SDE 2+) or advanced coding + architecture discussion.
Hiring manager: Behavioral, culture fit, past experience.
Swiggy coding questions (previous year)
Graph problems: delivery route optimization, shortest path, BFS/DFS
Array + greedy: scheduling, interval problems, optimization
DP: knapsack, matrix DP, string DP
System design: design food delivery system, design restaurant search, design order tracking
Check Swiggy previous year coding questions on Apply PYQs for exact problems.
Swiggy system design questions
Design a food delivery app — order placement, restaurant catalog, delivery assignment
Design a real-time order tracking system — GPS updates, ETA prediction
Design a restaurant recommendation engine — ranking, personalization
Key concepts: geospatial indexing, real-time updates (WebSockets), caching, load balancing
How to prepare for Swiggy interviews
Practice DSA with focus on graphs and greedy — Swiggy's domain involves routing and optimization.
Understand food delivery architecture: order management, catalog, dispatch, tracking.
For data science roles: practice SQL, Python, statistics, A/B testing, and ML case studies.
Use Apply's mock interview at /mock-interview with company set to Swiggy.
How Apply helps for Swiggy
Tailor your resume with Swiggy JD keywords (React, Node.js, MongoDB, Kafka, system design). Browse Swiggy PYQs at /pyqs.