← Google Interview Insights

Google·Software Engineer·Technical Phone Screen·Junior

JuniorPending
Oct 2026Remote

Summary

Google SWE intern technical screen, one coding question with three follow-ups, OOP and data structures focus. Went reasonably well but ended with a small bug I couldn't squash before time ran out, so I'm sitting here wondering if that cost me.

Questions Asked (1)

Q1

Design and implement an OOP-based solution to a data structure problem, then extend it through multiple follow-up constraints.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The interviewer read the whole thing out loud instead of sharing it on screen, which threw me off more than I expected.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and constraints, then design a clean OOP model with interfaces and classes that encapsulate the core data structure. Implement the base solution with tests, and for each follow-up constraint, discuss trade-offs and refactor the design to accommodate new requirements without breaking existing code.

Pro tip: Treat follow-up constraints as opportunities to demonstrate extensibility: explicitly state how your design adheres to SOLID principles, and mention that you would write unit tests for each new constraint to ensure correctness.

1. Clarify Requirements and Constraints

Ask questions to understand the problem scope, expected operations, performance requirements, and potential follow-up constraints. Confirm assumptions before designing.

2. Design OOP Model

Identify key abstractions, define interfaces, and outline class hierarchies. Focus on encapsulation, inheritance, and polymorphism to allow future extensions.

3. Implement Base Solution

Write clean, modular code for the core data structure and operations. Include basic tests to validate functionality and edge cases.

4. Extend for Follow-up Constraints

For each new constraint, analyze impact, propose design changes (e.g., new subclasses, strategy patterns), and discuss trade-offs like time/space complexity and maintainability.

5. Review and Optimize

Refactor if needed, ensure code quality, and summarize how the design meets all constraints. Mention potential optimizations and testing strategies.

Key Points to Mention

  • Encapsulation of data and behavior within classes to hide implementation details.
  • Use of interfaces and abstract classes to define contracts and enable polymorphism.
  • Application of design patterns (e.g., Strategy, Decorator) to handle evolving constraints.
  • Trade-offs between different data structures (e.g., array vs. linked list) and their impact on performance.
  • Adherence to SOLID principles, especially Open/Closed and Single Responsibility.
  • Importance of unit testing and iterative development when extending functionality.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.