Download free Razorpay placement papers 2025 with coding questions and solutions. Access DSA problems, system design, interview process, eligibility criteria, and complete preparation guide for 2025-2026.
Razorpay is India’s leading fintech company providing payment solutions for businesses. Founded in 2014 by Harshil Mathur and Shashank Kumar, Razorpay offers payment gateway services, business banking, and financial products. The company processes billions of dollars in transactions and serves millions of merchants across India. Razorpay is known for its innovative payment solutions, developer-friendly APIs, and strong engineering culture.
Headquarters: Bengaluru, India
Employees: 1,000+ globally
Industry: FinTech, Payment Solutions
Valuation: $3+ Billion USD
Download free Razorpay placement papers 2025 with previous year questions, detailed solutions, exam pattern, and complete preparation guide. Access Razorpay last 5 years placement papers with solutions PDF download and practice with solved questions covering all sections.
Academic Requirements
Minimum Percentage: 70% or 7.0+ CGPA in 10th, 12th, and graduation
Degree: B.Tech/B.E./M.Tech in Computer Science, IT, Electronics, or related fields
Year of Study: Final year students and recent graduates (within 1 year)
Backlogs: No active backlogs at the time of application
Branch Eligibility
Preferred: Computer Science, Information Technology, Electronics
Also Eligible: All engineering branches with strong programming skills
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 (Python, Java, C++, Go)
Gap Years: Maximum 1 year gap allowed
Course Type: Full-time degrees only
Nationality: Indian citizens (for India roles)
Software Engineer Role
Primary Role: Software Development Engineer (SDE-1/SDE-2)
Salary Package: ₹18-35 LPA for freshers and experienced candidates
Selection: Through Razorpay placement process (5 rounds)
Focus: DSA, system design, coding skills, problem-solving
Access free Razorpay placement papers PDF and Razorpay previous year question paper with detailed solutions. Download Razorpay last year question paper and Razorpay question paper PDF from previous years with comprehensive question banks covering coding problems, DSA questions, and system design.
2024 Placement Papers PDF
Download Razorpay placement papers 2024 PDF with previous year coding questions, DSA problems, solutions, and exam pattern analysis.
2025 Placement Papers PDF
Download latest Razorpay placement papers 2025 PDF with current year coding questions, DSA problems, solutions, and updated exam patterns.
2026 Preparation Guide
Prepare for Razorpay placement 2026 with expected exam pattern, coding questions, system design problems, and comprehensive preparation strategy.
What's Included
Complete Razorpay placement papers (2024-2026) with coding questions, DSA problems, system design questions, detailed solutions, answer keys, exam pattern analysis, and topic-wise organization.
Campus Recruitment
College Visits - Through placement cells at top engineering colleges
Direct registration via college coordinators
Off-Campus Drives
Razorpay Careers Portal - Apply online for Software Engineer and other roles
Participate in Razorpay hackathons and coding contests
Online Application
Direct Apply - razorpay.com/careers
Register with academic details and resume
The Razorpay placement process focuses on technical excellence and problem-solving ability. Understanding the detailed exam pattern is crucial for effective preparation.
Online Assessment (OA) - 90 minutes
Format: Online coding test on platforms like HackerRank or Razorpay’s internal platform Total Questions: 2-3 coding problems Negative Marking: No Platform: HackerRank or Razorpay’s internal tool
Section-wise Breakdown:
| Section | Questions | Time | Difficulty | Focus Areas |
|---|---|---|---|---|
| Coding Problems | 2-3 | 90 min | Medium-Hard | Arrays, Strings, DP, Graphs |
Problem Types:
Important Notes:
Success Rate: ~10-15% of candidates clear this round
Technical Interview Round 1 - 45 minutes
Format: Virtual or onsite Total Problems: 1-2 coding problems Language: Python, Java, C++, or Go Time: 45 minutes
Problem Types:
Evaluation:
Success Rate: ~30-40% of OA candidates advance
Technical Interview Round 2 - 45 minutes
Format: Virtual or onsite Focus Areas: System design and technical deep dive
System Design Topics:
Technical Deep Dive:
Evaluation:
Success Rate: ~50-60% of Round 1 candidates advance
Managerial Round - 45 minutes
Format: Virtual or onsite with senior engineer or manager
Focus Areas:
Evaluation Criteria:
Success Rate: ~70-80% of Round 2 candidates advance
HR Round - 30 minutes
Format: Virtual or onsite with HR Manager
Success Rate: ~80-90% of Managerial Round candidates get offers
| Phase | Duration | Key Activities |
|---|---|---|
| Online Assessment | 1 day | Coding problems, algorithmic challenges |
| Technical Interviews | 1-2 weeks | DSA, system design, technical deep dive |
| Managerial Round | 2-3 days | Behavioral questions, impact discussion |
| HR Discussion | Same day | Offer, negotiation, compensation |
| Result Declaration | 2-3 days | Offer letter, background check |
Practice with 30+ Razorpay placement paper coding questions covering arrays, strings, dynamic programming, graphs, and system design. These questions are representative of what you’ll encounter in Razorpay’s online assessment and technical interviews.
What’s Included:
Array Manipulation
Problem: Find the contiguous subarray (containing at least one number) which has the largest sum.
Example:
Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]Output: 6Explanation: [4, -1, 2, 1] has the largest sum = 6Solution:
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_sumTime Complexity: O(n) Space Complexity: O(1)
String Processing
Problem: Find the length of the longest subsequence common to both strings.
Example:
Input: "ABCDGH", "AEDFHR"Output: 3Explanation: "ADH" is the longest common subsequenceSolution:
def lcs(s1, s2): m, n = len(s1), len(s2) dp = [[0] * (n + 1) for _ in range(m + 1)]
for i in range(1, m + 1): for j in range(1, n + 1): if s1[i-1] == s2[j-1]: dp[i][j] = dp[i-1][j-1] + 1 else: dp[i][j] = max(dp[i-1][j], dp[i][j-1])
return dp[m][n]Time Complexity: O(m * n) Space Complexity: O(m * n)
Graph Traversal
Problem: Find the shortest path (number of edges) between two nodes in an unweighted graph.
Solution:
from collections import deque
def bfs_shortest_path(graph, start, end): visited = set() queue = deque([(start, 0)]) visited.add(start)
while queue: node, dist = queue.popleft() if node == end: return dist
for neighbor in graph[node]: if neighbor not in visited: visited.add(neighbor) queue.append((neighbor, dist + 1))
return -1 # No path foundTime Complexity: O(V + E) Space Complexity: O(V)
Dynamic Programming
Problem: Find the minimum number of coins needed to make a given amount.
Example:
Input: coins = [1, 3, 4], amount = 6Output: 2Explanation: 3 + 3 = 6 (minimum coins)Solution:
def coin_change(coins, amount): dp = [amount + 1] * (amount + 1) dp[0] = 0
for i in range(1, amount + 1): for coin in coins: if coin <= i: dp[i] = min(dp[i], dp[i - coin] + 1)
return dp[amount] if dp[amount] <= amount else -1Time Complexity: O(amount * len(coins)) Space Complexity: O(amount)
Payment Gateway Design
Requirements:
Approach:
Key Considerations:
Transaction Processing System
Requirements:
Approach:
Data Structures
Arrays & Strings: Manipulation, searching, sorting, two pointers, sliding window
Hash Maps & Sets: Lookup optimization, frequency counting
Trees: Binary trees, BST, traversals (inorder, preorder, postorder), tree construction
Graphs: Representation, BFS, DFS, shortest path algorithms, topological sort
Stacks & Queues: Implementation, applications, monotonic stacks
Algorithms
Dynamic Programming: Memoization, tabulation, optimization problems
Greedy Algorithms: Activity selection, interval scheduling
Graph Algorithms: BFS, DFS, Dijkstra’s, Bellman-Ford, Floyd-Warshall
Sorting & Searching: Quick sort, merge sort, binary search
String Algorithms: Pattern matching, KMP, Rabin-Karp
System Design
Payment Systems: Payment gateway, transaction processing, wallet systems
Distributed Systems: Microservices, load balancing, caching, sharding
Database Design: SQL vs NoSQL, ACID properties, indexing, query optimization
API Design: RESTful APIs, GraphQL, authentication, rate limiting
Scalability: Horizontal vs vertical scaling, database replication, CDN
Programming Languages
Python: Most commonly used, strong in DSA and system design discussions
Java: Enterprise applications, object-oriented design
C++: Performance-critical applications
Go: Concurrent programming, microservices
Focus: Problem-solving ability over specific language
Learn from real Razorpay placement interview experiences shared by candidates who successfully cleared the placement process. These authentic stories help you understand what to expect and how to prepare effectively.
Key Insights from Interview Experiences:
Prepare for Razorpay placement HR interview with common questions and effective strategies. Razorpay HR interview is conversational and focuses on cultural fit, motivation, and career goals.
Common HR Interview Topics:
Key Preparation Principles:
Preparation Approaches:
| Level | Experience | Base Salary | Total Package | Typical Background |
|---|---|---|---|---|
| SDE-1 | New Grad | ₹15-20 LPA | ₹18-25 LPA | Fresh graduates, top colleges |
| SDE-2 | 2-4 years | ₹22-28 LPA | ₹25-35 LPA | 2-4 years experience |
| Senior SDE | 4-6 years | ₹32-42 LPA | ₹35-50 LPA | Senior developers |
| Lead Engineer | 6+ years | ₹50+ LPA | ₹60 LPA+ | Tech leads, architects |
| Role | Level | Total Package | Requirements |
|---|---|---|---|
| Backend Engineer | Entry-Mid | ₹18-35 LPA | DSA, system design, backend technologies |
| Full Stack Engineer | Entry-Mid | ₹18-30 LPA | Frontend + backend skills |
| DevOps Engineer | Mid | ₹20-35 LPA | Cloud, automation, infrastructure |
Hiring Trends 2025
Increased Hiring: Razorpay is actively hiring across engineering roles
Focus Areas: Backend engineering, system design, payment systems expertise
Campus Hiring: Continued strong presence in top engineering colleges
Process Changes
Virtual Interviews: Most interviews conducted virtually
System Design Emphasis: Increased focus on system design in technical rounds
Faster Process: Streamlined interview process (2-3 weeks)
New Initiatives
Hackathons: Regular coding competitions and hackathons
Internship Program: Strong internship-to-full-time conversion
Engineering Blog: Active engineering blog sharing technical insights
Company Growth
Expansion: Growing engineering team across India
Product Innovation: New payment products and features
Market Leadership: Continued leadership in Indian fintech space
Razorpay placement papers are previous year question papers from Razorpay recruitment tests and interview rounds. These papers contain coding questions, DSA problems, system design questions, and interview questions that help students understand the exam pattern and prepare effectively for Razorpay placement process.
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Yes, you can access Razorpay placement papers online with previous year coding questions, DSA problems, system design questions, and interview questions. Our website provides Razorpay placement papers PDF download, Razorpay previous year questions with solutions, Razorpay coding questions, and Razorpay interview questions. All papers are completely free and require no registration.
We provide Razorpay placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns.
Razorpay placement process includes: 1. Online Assessment (90 minutes) - 2-3 coding problems on arrays, strings, dynamic programming, graphs, 2. Technical Interview Round 1 (45 minutes) - Data structures and algorithms coding problems, 3. Technical Interview Round 2 (45 minutes) - System design for payment systems, distributed systems, technical deep dive, 4. Managerial Round (45 minutes) - Behavioral questions, problem-solving, impact discussion, 5. HR Round (30 minutes) - General discussion, compensation, role expectations. Total duration: 2-3 weeks from application to offer.
Razorpay online assessment pattern: Duration 90 minutes, Format online coding test, Questions 2-3 medium to hard coding problems, Topics arrays, strings, dynamic programming, graphs, trees, Platform HackerRank or Razorpay’s internal platform, Passing Criteria optimal solutions with good time complexity. Success rate: ~10-15% of candidates clear this round.
Razorpay interview process consists of 5 rounds: 1. Online Assessment (90 minutes), 2. Technical Interview Round 1 (45 minutes), 3. Technical Interview Round 2 (45 minutes), 4. Managerial Round (45 minutes), 5. HR Round (30 minutes). Total duration: 2-3 weeks from application to offer.
Razorpay interview questions include: Coding Questions (arrays, strings, dynamic programming, graphs, trees, hash maps), System Design Questions (payment gateway, transaction processing, distributed systems, API design), Behavioral Questions (problem-solving examples, impact stories, teamwork, handling challenges), and Technical Deep Dive (algorithms, system architecture, trade-offs, scalability). All questions focus on technical depth and problem-solving ability.
Razorpay eligibility criteria for freshers 2026 include: Minimum Percentage of 70% or 7.0+ CGPA in 10th, 12th, and graduation. Degree required: B.Tech/B.E./M.Tech in Computer Science, IT, Electronics, or related fields. Final year students and recent graduates (within 1 year) are eligible. No active backlogs allowed at the time of application.
The minimum CGPA required for placement in Razorpay is 7.0 CGPA (70%) across all academic levels (10th, 12th, and graduation). However, candidates with higher CGPA (8.0+ or 80%+) and strong coding skills have better chances of selection.
Razorpay typically allows Python, Java, C++, and Go for coding sections. Python and Java are most commonly used. The focus is on problem-solving ability rather than specific language, but strong proficiency in at least one language is required.
Razorpay salary for freshers (2025): Software Engineer (SDE-1): ₹18-25 LPA for new graduates, Software Engineer (SDE-2): ₹25-35 LPA (2-4 years experience), Senior Software Engineer: ₹35-50 LPA (4-6 years). All figures are total annual compensation including base salary, bonuses, and benefits.
Razorpay primarily hires for Software Development Engineer (SDE) roles at various levels (SDE-1, SDE-2, Senior SDE, Lead Engineer). Other roles include Backend Engineer, Full Stack Engineer, and DevOps Engineer. All roles require strong DSA and system design skills.
To prepare for Razorpay placement: 1. Data Structures & Algorithms (50% time) - Practice 200+ problems on LeetCode focusing on arrays, graphs, trees, dynamic programming, 2. System Design (25% time) - Study payment systems, distributed systems, APIs, databases, 3. Coding Practice (15% time) - Solve Razorpay-tagged problems, practice on HackerRank, 4. Interview Preparation (10% time) - Mock interviews, behavioral questions, Razorpay culture research. Focus on problem-solving approach and technical depth.
Focus on: Data Structures (arrays, strings, hash maps, trees, graphs), Algorithms (dynamic programming, greedy, graph algorithms), System Design (payment systems, distributed systems, APIs, databases), Programming (Python, Java, C++, Go), and Problem-Solving (LeetCode, HackerRank practice). See the preparation strategy section for detailed topic breakdown.
Razorpay offers: Market-competitive compensation, strong engineering culture, opportunity to work on payment systems at scale, fast-paced learning environment, mentorship and career growth, innovative fintech products, and impact on India’s digital economy. Razorpay is a leader in Indian fintech with a focus on technical excellence.
Razorpay: Focus on B2B payment solutions, strong engineering culture, ₹18-35 LPA for freshers, emphasis on system design and DSA.
Paytm: B2C focus, larger scale, ₹16-30 LPA for freshers, diverse product portfolio.
PhonePe: UPI leader, strong engineering, ₹18-32 LPA for freshers, focus on consumer payments.
Choose Razorpay if you want B2B fintech focus and strong engineering culture. Choose Paytm/PhonePe if you prefer B2C scale and consumer products.
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Ready to start your Razorpay preparation? Practice with our placement papers and focus on strong fundamentals in data structures, algorithms, and system design. Master DSA, study payment systems, and prepare for technical interviews.
Pro Tip: Razorpay values problem-solving approach and technical depth. Focus on explaining your thought process clearly, writing clean code, and discussing trade-offs in system design.
Last updated: November 2025