Swiggy is India’s leading on-demand food delivery and hyperlocal services platform. Founded in 2014 by Sriharsha Majety, Nandan Reddy, and Rahul Jaimini, Swiggy is known for its technology-driven logistics, large-scale food delivery, and digital innovation, serving millions of users across 500+ Indian cities.
Academic Requirements
Minimum Percentage: 65% or 6.5+ CGPA in 10th, 12th, and graduation
Degree: B.E./B.Tech/M.E./M.Tech/MCA in Computer Science, IT, ECE, EE, or related fields
Year of Study: Final year students and recent graduates (within 1 year)
Backlogs: No active backlogs at the time of selection
Branch Eligibility
Eligible Branches: CS, IT, ECE, EE, and related engineering streams
Programming Focus: Strong skills in Data Structures, Algorithms, and System Design
Experience: Freshers and up to 2 years experience (for entry-level SDE roles)
Additional Criteria
Coding Skills: Proficiency in at least one language (Java, C++, Python, Go)
Gap Years: Maximum 1 year gap allowed
Course Type: Full-time degrees only
Nationality: Indian citizens (for India roles)
Download free Swiggy placement papers 2026 with previous year questions, detailed solutions, exam pattern, and complete preparation guide. Access Swiggy last 5 years placement papers with solutions PDF download and practice with solved questions covering DSA, coding, and system design.
2024 Placement Papers PDF
Download Swiggy placement papers 2024 PDF with previous year online assessment questions, solutions, and exam pattern analysis.
2025 Placement Papers PDF
Download latest Swiggy placement papers 2025 PDF with current year online assessment questions, solutions, and updated exam patterns.
2026 Preparation Guide
Prepare for Swiggy placement 2026 with expected online assessment pattern, question types, and comprehensive preparation strategy.
Campus Recruitment
College Visits - Through placement cells at top engineering colleges
Direct registration via college coordinators
Off-Campus Drives
Swiggy Careers Portal - Apply online for Software Engineer and other roles
Participate in Swiggy Tech Hunt, hackathons, and coding contests
Online Assessment
Direct Apply - careers.swiggy.com
Register with academic details and resume
Online Coding Assessment (OA) - 90-120 minutes
Format: Conducted on platforms like HackerRank or Swiggy’s internal tool
Success Rate: ~10-15% advance to interviews
Technical Interviews (2-3 rounds, 45-60 min each)
Format: Virtual or onsite
Managerial/Team Fit Interview (1 round, 45 min)
Format: Senior engineer or manager
HR/Offer Discussion (20-30 min)
Format: HR Manager
| Phase | Duration | Key Activities |
|---|---|---|
| Online Assessment | 1 day | Coding, debugging |
| Technical Interviews | 1-2 weeks | DSA, system design |
| Managerial/Team Fit | 2-3 days | Swiggy values, teamwork |
| HR Discussion | Same day | Offer, negotiation |
| Result Declaration | 2-3 days | Offer letter, background check |
Array Manipulation
def max_subarray_sum(arr): max_sum = float('-inf') current_sum = 0 for num in arr: current_sum += num if current_sum > max_sum: max_sum = current_sum if current_sum < 0: current_sum = 0 return max_sumGraph Traversal
Given a graph, find the shortest path between two nodes.
Example: A graph with nodes A, B, C, D, E, F. A is connected to B, C, D. B is connected to C, E. C is connected to D, F. D is connected to E. E is connected to F. Find the shortest path from A to F.
Explanation: The shortest path is A -> B -> C -> D -> E -> F.
Code:
// This is a placeholder for a graph traversal algorithm.// A real implementation would involve using a queue for BFS or a priority queue for Dijkstra's.// For simplicity, let's assume a graph is represented as an adjacency list.// We need to find the shortest path from a source node 'start' to a target node 'end'.// We can use BFS for unweighted graphs or Dijkstra's for weighted graphs.// For this example, let's assume a simple BFS approach.
// Let's define a graph class for clarity.class Graph { int V; // Number of vertices LinkedList<Integer> adj[]; // Adjacency list
Graph(int v) { V = v; adj = new LinkedList[v]; for (int i = 0; i < v; ++i) adj[i] = new LinkedList(); }
void addEdge(int v, int w) { adj[v].add(w); }
// BFS to find the shortest path int shortestPath(int start, int end) { boolean visited[] = new boolean[V]; int dist[] = new int[V]; Arrays.fill(dist, Integer.MAX_VALUE);
Queue<Integer> queue = new LinkedList<>(); visited[start] = true; dist[start] = 0; queue.add(start);
while (!queue.isEmpty()) { int current = queue.poll(); for (Integer neighbor : adj[current]) { if (!visited[neighbor]) { visited[neighbor] = true; dist[neighbor] = dist[current] + 1; queue.add(neighbor); } } } return dist[end]; }}Dynamic Programming
Given a set of coins, find the minimum number of coins to make a given amount.
Example: Coins = [1, 2, 5], Amount = 11
Explanation: The minimum number of coins to make 11 is 3 (5 + 5 + 1).
Code:
int coinChange(int coins[], int amount) { int dp[] = new int[amount + 1]; Arrays.fill(dp, amount + 1); // Initialize with a large value dp[0] = 0; // Base case: 0 coins needed to make 0 amount
for (int i = 1; i <= amount; i++) { for (int coin : coins) { if (coin <= i) { dp[i] = Math.min(dp[i], dp[i - coin] + 1); } } } return dp[amount] > amount ? -1 : dp[amount]; // If amount cannot be formed}Design a Food Delivery Tracking System
Design a Restaurant Recommendation Engine
Customer Focus
Ownership
DSA Fundamentals
Arrays & Strings: Manipulation, searching, sorting
Trees & Graphs: Traversals, shortest path, DFS/BFS
Dynamic Programming: Memoization, tabulation
Hashing: Hash maps, sets
System Design Basics
Food Delivery Architecture: Order management, delivery tracking, payments
Database Design: SQL vs NoSQL, normalization
API Design: RESTful APIs, authentication
Scalability: Load balancing, caching, sharding
“Tell me about yourself”
“Describe a time you worked in a team”
“Why Swiggy?”
“Are you willing to relocate?”
DSA Mastery
Priority: Critical
Time Allocation: 50%
System Design & OOP
Priority: High
Time Allocation: 20%
Swiggy Values
Priority: High
Time Allocation: 20%
Aptitude & Communication
Priority: Medium
Time Allocation: 10%
| Level | Experience | Base Salary | Total Package | Typical Background |
|---|---|---|---|---|
| SDE-1 | New Grad | ₹10-16 LPA | ₹16-22 LPA | Fresh graduates, top colleges |
| SDE-2 | 2-4 years | ₹18-24 LPA | ₹24-30 LPA | 2-4 years experience |
| Senior SDE | 5-8 years | ₹28-40 LPA | ₹40-55 LPA | Senior developers |
| Lead Engineer | 8+ years | ₹55+ LPA | ₹70 LPA+ | Architects, tech leads |
| Role | Level | Total Package | Requirements |
|---|---|---|---|
| QA Engineer | Entry-Mid | ₹7-12 LPA | Testing, automation |
| Product Manager | Mid-Senior | ₹18-35 LPA | Product sense, tech background |
| Data Scientist | Mid | ₹12-25 LPA | ML, analytics |
| DevOps Engineer | Entry-Mid | ₹8-18 LPA | Cloud, automation |
Hiring Trends 2026
Increased Virtual Hiring: More online assessments and interviews
System Design Emphasis: More focus in interviews
Diversity Hiring: Special drives for women and underrepresented groups
Process Changes
Online Assessments: More debugging and scenario-based questions
Team Fit Round: Mandatory for all SDE hires
Faster Offers: Reduced time from interview to offer
New Initiatives
Swiggy Tech Hunt: Coding competition for hiring
Student Programs: Internships, Swiggy Tech Internship
Internal Referrals: Employee referral program
Company Growth
Product Expansion: More engineering and data roles in India
Product Innovation: Food delivery, hyperlocal, fintech
Global Mobility: Opportunities to work abroad
Ready to start your Swiggy preparation? Focus on DSA, system design, and Swiggy company values. Practice mock interviews and build strong STAR stories.
Pro Tip: Consistent practice on LeetCode and HackerRank is key. Understand Swiggy’s values and be ready to demonstrate them in behavioral rounds.
Swiggy placement papers are previous year question papers from Swiggy recruitment tests and interview rounds. These papers help students understand the exam pattern and prepare effectively.
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We provide Swiggy placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns.
Swiggy placement process (candidate-reported): 1. Online Coding Assessment (90-120 min) — 2-3 DSA problems, 2. Technical Interviews (2-3 rounds) — DSA, system design, 3. Managerial/Team Fit (45 min), 4. HR/Offer Discussion (20-30 min). Total duration: 2-4 weeks.
Swiggy interview process consists of 4-5 rounds: Online Coding Assessment, 2-3 Technical Interviews, Managerial/Team Fit, and HR/Offer Discussion. Some roles may have additional rounds.
Swiggy eligibility criteria for freshers 2026 (candidate-reported): Minimum 65% or 6.5+ CGPA in 10th, 12th, and graduation. B.E./B.Tech/M.E./M.Tech/MCA in CS, IT, ECE, EE. Final year students and recent graduates (within 1 year). No active backlogs. Strong DSA skills required.
The minimum CGPA required for Swiggy is commonly reported as 6.5 CGPA (65%) across all academic levels. Candidates with 7.5+ CGPA and strong coding skills have better selection chances.
To prepare for Swiggy placement: 1. DSA Mastery (50% time) — 100+ LeetCode problems, 2. System Design (20%) — food delivery architecture, 3. Swiggy Values (20%) — STAR stories, 4. Aptitude & Communication (10%). See the preparation strategy section for detailed guidance.
Focus on: DSA (arrays, trees, graphs, dynamic programming, strings) — 50% of preparation time, System Design (food delivery, order management, scalability) — 20%, Swiggy Values (customer focus, ownership, innovation) — 20%, Communication — 10%.
Swiggy offers excellent opportunities including: competitive compensation (₹16-22 LPA for freshers), cutting-edge food tech work, fast-paced startup culture, comprehensive benefits, and strong career growth. Swiggy’s culture emphasizes customer focus, innovation, and ownership.
Swiggy primarily hires CS, IT, ECE, and EE students with strong programming skills. However, candidates from other branches with exceptional coding skills and relevant projects may also be considered.
Swiggy has offices in Bengaluru and other major cities. Relocation depends on the role and team. Many roles now offer hybrid/remote options.
Swiggy: Best for food delivery tech, logistics innovation, and scale. Salary: ₹16-22 LPA for freshers. Zomato: Similar focus, restaurant discovery. Salary: ₹18-25 LPA. Uber Eats: Part of Uber ecosystem, global exposure. Salary: ₹20-28 LPA. All three are excellent choices in food tech.
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Last updated: August 2026