Everything you need to know about coding interviews in Big Tech Companies like Google, IBM

Coding interviews at big tech companies, such as Google, IBM, and others, typically follow a structured format aimed at assessing a candidate’s problem-solving skills, algorithmic knowledge, and coding proficiency. Here’s an overview of what you need to know about coding interviews at these companies:

1. Algorithms and Data Structures:

• Expect questions that involve algorithms and data structures. Revise fundamental topics like arrays, linked lists, trees, graphs, sorting, searching, and dynamic programming.
• Be familiar with common algorithms like depth-first search, breadth-first search, and various sorting algorithms.

2. Problem-Solving:

• Practice solving problems on platforms like LeetCode, HackerRank, or CodeSignal. These platforms often have problems similar to those asked in real interviews.
• Focus on optimizing your solutions for time and space complexity.

3. Coding Proficiency:

• Be comfortable coding on a whiteboard, online code editor, or on paper. Practice translating your thoughts into code without the aid of an IDE.
• Pay attention to edge cases and handle them appropriately in your code.

4. System Design (for Senior Roles):

• For more senior roles, you may be asked to design a system. This could involve discussing the architecture of a scalable system, data storage, API design, and more.
• Practice designing systems and be ready to discuss trade-offs in your design choices.

5. Behavioral Questions:

• Be prepared for behavioral questions that assess your communication skills, teamwork, and problem-solving approach.
• Practice answering questions about your past experiences, challenges you’ve faced, and how you’ve overcome them.

6. Company-Specific Questions:

• Research the specific interview process for the company you’re applying to. Some companies have unique interview styles or focus on specific areas.
• Know about the company culture and values, and be prepared to discuss how your skills align with them.

7. Mock Interviews:

• Conduct mock interviews with peers or mentors. This helps simulate the interview environment and allows you to receive feedback on your performance.
• Practice thinking aloud while solving problems to improve your communication during interviews.

8. Time Management:

• Manage your time well during interviews. If you get stuck on a problem, communicate your thought process and try to make progress.
• Prioritize solving the problem efficiently over finding the optimal solution initially.

9. Resume Review:

• Be ready to discuss your resume in detail. Interviewers might ask about specific projects, your role in them, and the challenges you faced.
• Tailor your resume to highlight experiences relevant to the position you’re applying for.

10. Continuous Learning:

• Stay updated on industry trends, new technologies, and best practices. Companies often appreciate candidates who demonstrate a commitment to continuous learning.

Final Tips:

• Practice regularly, especially on problem-solving platforms.
• Understand the company’s technology stack and the languages they commonly use.
• Ask questions at the end of the interview to show your interest in the company.

Remember that coding interviews are as much about problem-solving skills and approach as they are about getting the correct solution. Practice, preparation, and a positive attitude are key to succeeding in these interviews.