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Paytm Software Engineer Interview Questions and Answers

Updated 19 Dec 2024

79 Interview questions

A Software Engineer was asked 7mo ago
Q. Given an m x n matrix, where each row and each column is sorted in ascending order, design an efficient algorithm to search for a specific value in the matrix.
Ans. 

Search for a target value in a sorted matrix efficiently.

  • Start from the top right corner and move left or down based on comparison with target value

  • Utilize the sorted nature of the matrix to eliminate certain rows or columns

  • Implement binary search for more efficient search in each row or column

A Software Engineer was asked 9mo ago
Q. Explain the internal workings of a hashmap.
Ans. 

HashMap is a data structure that stores key-value pairs and uses hashing to quickly retrieve values based on keys.

  • HashMap internally uses an array of linked lists to store key-value pairs.

  • When a key-value pair is added, the key is hashed to determine the index in the array where it will be stored.

  • If multiple keys hash to the same index, a collision occurs and the key-value pairs are stored in a linked list at that...

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A Software Engineer was asked 9mo ago
Q. Given head, the head of a linked list, determine if the linked list has a cycle in it. There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following...
Ans. 

Use Floyd's Tortoise and Hare algorithm to detect cycle in a linked list.

  • Initialize two pointers, slow and fast, at the head of the linked list.

  • Move slow pointer by one step and fast pointer by two steps.

  • If they meet at any point, there is a cycle in the linked list.

A Software Engineer was asked 9mo ago
Q. What are the differences between MongoDB and SQL?
Ans. 

MongoDB is a NoSQL database while SQL is a relational database management system.

  • MongoDB is schema-less, allowing for flexible data models.

  • SQL databases use structured query language for defining and manipulating data.

  • MongoDB is better suited for unstructured or semi-structured data, while SQL is better for structured data.

  • SQL databases are ACID compliant, ensuring data integrity, while MongoDB sacrifices some ACI...

A Software Engineer was asked 11mo ago
Q. How do you convert a Binary Search Tree (BST) to a range?
Ans. 

Convert a Binary Search Tree (BST) into a new BST containing only nodes within a given range.

  • Perform inorder traversal of the original BST and only add nodes within the given range to the new BST.

  • Recursively call the function on left and right subtrees while checking the node values against the range.

  • Adjust the pointers of the nodes to form the new BST.

A Software Engineer was asked 12mo ago
Q. What are five of your strengths and weaknesses?
Ans. 

Strengths: Problem-solving skills, teamwork, adaptability, attention to detail, communication. Weaknesses: Impatience, public speaking, delegation, perfectionism, time management.

  • Strengths: Problem-solving skills - I enjoy tackling complex issues and finding creative solutions.

  • Teamwork - I work well with others and value collaboration in achieving common goals.

  • Adaptability - I am able to quickly adjust to new situ...

A Software Engineer was asked 12mo ago
Q. Check whether a given binary tree is a BST or not.
Ans. 

A binary tree is a BST if for every node, left children are smaller and right children are larger than the node.

  • A BST must satisfy the property: left < node < right for all nodes.

  • Use a recursive function to check each node against min and max values.

  • Example: For the tree with root 5, left child 3, right child 7, it is a BST.

  • Example: For the tree with root 5, left child 7, right child 3, it is NOT a BST.

Are these interview questions helpful?
A Software Engineer was asked 12mo ago
Q. Write the pseudo code for Merge Sort using a Linked List.
Ans. 

Merge sort using linked list is a sorting algorithm that divides the list into smaller sublists, sorts them, and then merges them back together.

  • Create a function to merge two sorted linked lists

  • Divide the linked list into two halves using slow and fast pointers

  • Recursively sort the two halves

  • Merge the sorted halves back together

A Software Engineer was asked
Q. Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST. According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nod...
Ans. 

The Lowest Common Ancestor (LCA) of a Binary Search Tree is the node that is the common ancestor of two given nodes.

  • The LCA of a Binary Search Tree can be found by comparing the values of the two nodes with the current node's value and traversing left or right accordingly.

  • If one node's value is less than the current node's value and the other node's value is greater, then the current node is the LCA.

  • If both nodes ...

A Software Engineer was asked
Q. How do you find the kth element in a linked list?
Ans. 

To find the kth element in a linked list, iterate through the list and return the element at the kth position.

  • Iterate through the linked list while keeping track of the current position

  • Return the element when the current position equals k

  • Handle cases where k is out of bounds or the linked list is empty

Paytm Software Engineer Interview Experiences

51 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. Search in a sorted matrix
  • Q2. Rotting orange graph
  • Q3. Database Indexing and SQL
Round 2 - Technical 

(3 Questions)

  • Q1. Design Patterns
  • Q2. Medium level Binary tree question
  • Q3. Previous work discussion

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Aptitude Test 

1st round was online test with 3 easy-medium leetcode questions

Round 2 - Technical 

(2 Questions)

  • Q1. Quick sort was asked to be implemented
  • Ans. 

    Quick sort is an efficient sorting algorithm that uses a divide-and-conquer approach to sort elements in an array.

    • 1. Choose a 'pivot' element from the array.

    • 2. Partition the array into two sub-arrays: elements less than the pivot and elements greater than the pivot.

    • 3. Recursively apply the above steps to the sub-arrays.

    • 4. Combine the sorted sub-arrays and the pivot to get the final sorted array.

    • Example: For array [3, 6...

  • Answered by AI
  • Q2. Some SQL queries were asked involving joins
Round 3 - Technical 

(2 Questions)

  • Q1. Standard stack based question -> valid parenthesis
  • Q2. Only one question was asked
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Javascript, nodejs, react qustions

Round 2 - Technical 

(2 Questions)

  • Q1. Nodejs event loop
  • Q2. React lifecycle , hooks and redux
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between hashmap and hashtable
  • Q2. Difference between mongodb and sql

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Got an hackerRank test link which consists HTML, CSS, JS, React and DSA question with MCQs.

Round 2 - One-on-one 

(2 Questions)

  • Q1. JS related discussion.
  • Q2. DSA question
Round 3 - One-on-one 

(2 Questions)

  • Q1. React machine coding round
  • Q2. DSA question

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on the basics and be consistent with your prepration.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Medium level one coding question

Round 2 - Technical 

(2 Questions)

  • Q1. Question related to project mentioned in resume
  • Q2. Question related to projects
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

2 questions in DSA on arrays and linked list

Round 2 - Technical 

(1 Question)

  • Q1. 1 question on linked list and general discussion
Round 3 - One-on-one 

(1 Question)

  • Q1. Questions about realtime problem solving, no coding directly
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. LinkedIn List based problems
  • Ans. 

    LinkedIn List based problems involve manipulating linked lists to solve various coding challenges.

    • Implement common linked list operations like insertion, deletion, and traversal.

    • Solve problems involving reversing a linked list, detecting cycles, or finding the intersection point of two linked lists.

    • Use techniques like two pointers, recursion, or hash tables to optimize solutions.

  • Answered by AI
  • Q2. Hashing based problems and questions

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Rotate a linked List
  • Ans. 

    Rotate a linked list by k positions

    • Traverse the linked list to find the length and the last node

    • Connect the last node to the head to make it a circular linked list

    • Traverse again to find the new tail node at position length - k % length

    • Set the new head as the next node of the new tail and update the new tail's next to null

  • Answered by AI
  • Q2. Find the element in rotated sorted array

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Kth element in a linked list
  • Ans. 

    To find the kth element in a linked list, iterate through the list and return the element at the kth position.

    • Iterate through the linked list while keeping track of the current position

    • Return the element when the current position equals k

    • Handle cases where k is out of bounds or the linked list is empty

  • Answered by AI
  • Q2. Level order traversal with alternate order
  • Ans. 

    Level order traversal of a binary tree with alternate order

    • Use a queue to perform level order traversal

    • Alternate the order of nodes at each level

    • Example: For a binary tree with nodes 1, 2, 3, 4, 5, the output could be ['1', '3 2', '4 5']

  • Answered by AI

Skills evaluated in this interview

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Paytm Interview FAQs

How many rounds are there in Paytm Software Engineer interview?
Paytm interview process usually has 2-3 rounds. The most common rounds in the Paytm interview process are Technical, Coding Test and One-on-one Round.
How to prepare for Paytm Software Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Paytm. The most common topics and skills that interviewers at Paytm expect are Application Development, Backend, Financial Services, Product Management and Software Engineering.
What are the top questions asked in Paytm Software Engineer interview?

Some of the top questions asked at the Paytm Software Engineer interview -

  1. Puzzle : 100 people are standing in a circle .each one is allowed to shoot a pe...read more
  2. How will you implement a shuffle function for a playlist of so...read more
  3. How many BSTs are possible with two nodes and three nod...read more
How long is the Paytm Software Engineer interview process?

The duration of Paytm Software Engineer interview process can vary, but typically it takes about less than 2 weeks to complete.

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Overall Interview Experience Rating

4.2/5

based on 40 interview experiences

Difficulty level

Easy 13%
Moderate 88%

Duration

Less than 2 weeks 91%
2-4 weeks 9%
View more
Paytm Software Engineer Salary
based on 1.4k salaries
₹6 L/yr - ₹21 L/yr
40% more than the average Software Engineer Salary in India
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Paytm Software Engineer Reviews and Ratings

based on 191 reviews

2.9/5

Rating in categories

3.2

Skill development

2.7

Work-life balance

2.6

Salary

2.3

Job security

2.5

Company culture

2.3

Promotions

2.8

Work satisfaction

Explore 191 Reviews and Ratings
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