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Top Software Engineer Interview Questions & Answers – Crack Your Dream Job!

Dreaming of landing your ideal role as a Software Engineer at a top tech company? Whether you’re a fresher or preparing for your next career move, interviews can be challenging—but with the right preparation, you can stand out.

This blog provides a comprehensive list of the most frequently asked Software Engineer interview questions, complete with clear, concise answers to help you prepare with confidence.

1. Data Structures & Algorithms (DSA)

Core Topics: Arrays, Linked Lists, Strings, Hashing, Sliding Window, Recursion, Dynamic Programming

Reverse a Linked List (Iterative)

python
def reverseList(head):
prev = None
current = head
while current:
next = current.next
current.next = prev
prev = current
current = next
return prev

Reverse a Linked List (Recursive)

python
def reverseList(head):
if not head or not head.next:
return head
rest = reverseList(head.next)
head.next.next = head
head.next = None
return rest

Find the Missing Number in an Array

python
def missingNumber(nums):
n = len(nums)
total = n * (n + 1) // 2
return total - sum(nums)

Detect a Cycle in a Linked List (Floyd’s Algorithm)

python
def hasCycle(head):
slow = fast = head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow == fast:
return True
return False

Merge Two Sorted Linked Lists

python
def mergeTwoLists(l1, l2):
if not l1 or not l2:
return l1 or l2
if l1.val < l2.val:
l1.next = mergeTwoLists(l1.next, l2)
return l1
else:
l2.next = mergeTwoLists(l1, l2.next)
return l2

Implement Binary Search

python
def binarySearch(arr, target):
low, high = 0, len(arr)-1
while low <= high:
mid = (low + high) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
low = mid + 1
else:
high = mid - 1
return -1

Find the Largest Element in an Array

python
def findMax(arr):
return max(arr)

Two Sum Problem (Hashing)

python
def twoSum(nums, target):
hashmap = {}
for i, num in enumerate(nums):
complement = target - num
if complement in hashmap:
return [hashmap[complement], i]
hashmap[num] = i

Check if a String is a Palindrome

python
def isPalindrome(s):
return s == s[::-1]

Longest Substring Without Repeating Characters

python
def lengthOfLongestSubstring(s):
char_map = {}
left = max_len = 0
for right in range(len(s)):
if s[right] in char_map and char_map[s[right]] >= left:
left = char_map[s[right]] + 1
char_map[s[right]] = right
max_len = max(max_len, right - left + 1)
return max_len

Implement a LRU Cache

This is often implemented using a HashMap and Doubly Linked List or using Python’s OrderedDict.

Practice Platforms: LeetCode, CodeStudio, GeeksforGeeks

2. Object-Oriented Programming (OOP)

Four Pillars of OOP

  • Encapsulation: Hiding internal data using private access modifiers.

  • Abstraction: Exposing only essential features of an object.

  • Inheritance: Creating a new class using the properties of an existing class.

  • Polymorphism: Performing a single action in different ways.

Abstract Class vs Interface

FeatureAbstract ClassInterface
Method BodyCan have bodyOnly declarations
InheritanceSingleMultiple allowed
ConstructorYesNo

Method Overloading vs Method Overriding

  • Overloading: Same method name, different parameters. Happens at compile time.

  • Overriding: Subclass redefines a method from the superclass. Happens at runtime.

Constructor and Destructor

  • Constructor: Initializes an object.

  • Destructor: Cleans up when an object is destroyed (in Python: __del__).

Real-World Example

A class Vehicle with subclasses Car and Bike demonstrates inheritance, where each subclass can override methods like startEngine() (polymorphism).

Learning Resources: JavaTpoint, TutorialsPoint

3. Database Management System (DBMS)

What is Normalization and Denormalization?

  • Normalization: Organizing data to reduce redundancy.

  • Denormalization: Adding redundancy to improve read performance.

SQL vs NoSQL

  • SQL: Structured data, relational databases like MySQL.

  • NoSQL: Unstructured data, document/key-value stores like MongoDB.

ACID Properties

  • Atomicity: All steps complete or none.

  • Consistency: Valid data state maintained.

  • Isolation: Transactions do not interfere.

  • Durability: Changes are permanent after commit.

Index in SQL

Indexes improve search performance by allowing quick access to data rows.

Primary Key vs Unique Key

  • Primary Key: Unique and not null.

  • Unique Key: Uniqueness enforced, null values allowed.

SQL Query for Second Highest Salary

sql
SELECT MAX(salary) FROM employees
WHERE salary < (SELECT MAX(salary) FROM employees);

Practice Platforms: LeetCode SQL, W3Schools SQL

4. System Design Basics

How Does URL Shortening Work?

  • Hash the URL, store it in a database.

  • Generate a unique short key that redirects to the original URL.

Designing Uber’s Ride-Matching System

  • Use real-time geo-location data.

  • Match nearby riders and drivers using pub-sub architecture.

What is Load Balancing?

  • Evenly distributes incoming network traffic across multiple servers.

How Does a CDN Work?

  • Delivers content from geographically closer servers to improve speed.

Monolithic vs Microservices Architecture

  • Monolithic: Single large codebase.

  • Microservices: Multiple smaller, independent services.

Learning Resource: GitHub’s System Design Primer

5. Operating System & Computer Networks

Process vs Thread

  • Process: Independent unit of execution.

  • Thread: Subset of a process that shares memory.

Deadlock and Prevention

  • Occurs when processes wait for each other indefinitely.

  • Avoid using resource ordering, timeouts, and safe allocation algorithms.

What Happens When You Enter a URL?

DNS resolution → TCP/HTTP request → Server response → Webpage rendered

TCP vs UDP

TCPUDP
ReliableUnreliable
SlowerFaster
Ordered deliveryNo guarantee

Virtual Memory and Paging

  • Virtual Memory: Extension of physical memory using disk.

  • Paging: Divides memory into fixed-size blocks for efficient access.

How Does DNS Work?

Translates domain names into IP addresses via DNS resolvers and authoritative servers.

Learning Resources: CS50, Operating Systems by Galvin

Bonus Tips to Crack Software Engineer Interviews

  • Solve 100+ DSA problems from platforms like LeetCode and CodeForces.

  • Build real-world projects and contribute to open-source.

  • Revise core CS subjects regularly.

  • Practice mock interviews on platforms like Pramp and InterviewBit.

  • Use the STAR Method (Situation, Task, Action, Result) to structure answers.

Conclusion

Preparation is the key to success. Mastering these common interview questions and concepts will significantly boost your confidence and performance. Focus on solving problems, understanding the fundamentals, and practicing effective communication.

Stay consistent, keep learning, and go crack that dream job.

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