Flipkart placement papers, interview questions, placement process, eligibility criteria, and complete preparation guide for 2025-2026 campus recruitment and hiring.
Flipkart is one of India’s leading e-commerce companies, known for its innovation in online retail, technology-driven logistics, and large-scale digital solutions. Founded in 2007 by Sachin and Binny Bansal, Flipkart is now part of the Walmart group and employs thousands of engineers across India.
Headquarters: Bengaluru, India
Employees: 30,000+ globally
Industry: E-commerce, Technology
Revenue: $7.7+ Billion USD (2023)
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)
Flipkart Placement Papers 2024
Flipkart Placement Papers 2025
Campus Recruitment
College Visits - Through placement cells at top engineering colleges
Direct registration via college coordinators
Off-Campus Drives
Flipkart Careers Portal - Apply online for Software Engineer and other roles
Participate in Flipkart GRiD, hackathons, and coding contests
Online Assessment
Direct Apply - flipkartcareers.com
Register with academic details and resume
Online Coding Assessment (OA) - 90-120 minutes
Format: Conducted on platforms like HackerRank or Flipkart’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 | Flipkart 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
This problem is a classic example of finding the shortest path in a graph using algorithms like Dijkstra’s or Breadth-First Search (BFS). The problem statement typically involves a graph represented by an adjacency matrix or list, and two nodes (source and destination). The goal is to find the minimum number of edges or the minimum sum of weights from the source to the destination.
Example:
// Assuming a graph is represented as an adjacency matrix// int[][] graph = {{0, 1, 2}, {1, 0, 1}, {2, 1, 0}};// int source = 0;// int destination = 2;
// BFS approachQueue<Integer> queue = new LinkedList<>();boolean[] visited = new boolean[graph.length];queue.add(source);visited[source] = true;int distance = 0;
while (!queue.isEmpty()) { int size = queue.size(); for (int i = 0; i < size; i++) { int current = queue.poll(); if (current == destination) { return distance; } for (int neighbor = 0; neighbor < graph.length; neighbor++) { if (graph[current][neighbor] != 0 && !visited[neighbor]) { queue.add(neighbor); visited[neighbor] = true; } } } distance++;}return -1; // No path foundDynamic Programming
This problem is a classic example of Dynamic Programming (DP) used for solving the “Coin Change” problem. The goal is to find the minimum number of coins needed to make a given amount using a set of coin denominations. The DP approach involves building a table where each entry dp[i] represents the minimum number of coins needed to make amount i.
Example:
int coinChange(int[] coins, int amount) { int[] dp = new int[amount + 1]; Arrays.fill(dp, amount + 1); // Initialize with a value larger than any possible answer dp[0] = 0; // Base case: 0 coins needed to make amount 0
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 made, return -1}Design an Order Management System
Design a Product 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
E-commerce Architecture: Order management, inventory, 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 Flipkart?”
“Are you willing to relocate?”
DSA Mastery
Priority: Critical
Time Allocation: 50%
System Design & OOP
Priority: High
Time Allocation: 20%
Flipkart 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 | ₹18-22 LPA | ₹22-28 LPA | Fresh graduates, top colleges |
| SDE-2 | 2-4 years | ₹28-35 LPA | ₹35-45 LPA | 2-4 years experience |
| Senior SDE | 5-8 years | ₹45-60 LPA | ₹60-80 LPA | Senior developers |
| Lead Engineer | 8+ years | ₹80+ LPA | ₹1 Cr+ | Architects, tech leads |
| Role | Level | Total Package | Requirements |
|---|---|---|---|
| QA Engineer | Entry-Mid | ₹10-18 LPA | Testing, automation |
| Product Manager | Mid-Senior | ₹30-60 LPA | Product sense, tech background |
| Data Scientist | Mid | ₹25-40 LPA | ML, analytics |
| DevOps Engineer | Entry-Mid | ₹15-30 LPA | Cloud, automation |
Hiring Trends 2025
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
Flipkart GRiD: Coding competition for hiring
Student Programs: Internships, Flipkart Runway
Internal Referrals: Employee referral program
Company Growth
Product Expansion: More engineering and data roles in India
Product Innovation: E-commerce, logistics, fintech
Global Mobility: Opportunities to work abroad
Ready to start your Flipkart preparation? Focus on DSA, system design, and Flipkart company values. Practice mock interviews and build strong STAR stories.
Pro Tip: Consistent practice on LeetCode and HackerRank is key. Understand Flipkart’s values and be ready to demonstrate them in behavioral rounds.