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Google·Software Engineer·Onsite - Multi Round·Intermediate

IntermediatePending
Apr 2026Seattle

Summary

Went through a coding round and a behavioral round for a software engineer role at Google in Seattle. The coding problem got solved but the follow-up ran out of time, and the behavioral side felt pretty solid. Sitting here not sure if it was enough.

Questions Asked (2)

Q1

Solve a coding problem and walk through the time and space complexity of your solution, including a follow-up variant of the problem.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

Got through the main problem fine and nailed the complexity breakdown.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and constraints, then propose a brute-force solution before optimizing. Implement the optimal solution while explaining your thought process, and analyze time and space complexity. Finally, discuss a follow-up variant by extending your solution or considering trade-offs.

Pro tip: Always state the complexity of your solution before writing code, and during the follow-up, proactively discuss potential edge cases and how your solution would handle them.

1. Understand and Clarify

Ask clarifying questions to ensure you understand the problem, input/output, constraints, and edge cases. Confirm assumptions with the interviewer.

2. Brainstorm and Choose Approach

Discuss possible approaches, starting with a brute-force solution, then optimize. Explain trade-offs and choose the best approach based on constraints.

3. Implement and Test

Write clean, modular code while explaining your logic. Test with examples, including edge cases, and debug if necessary.

4. Analyze Complexity

Clearly state the time and space complexity of your solution, justifying each part. Compare with the brute-force approach.

5. Handle Follow-up

Listen to the follow-up variant, clarify any changes, and adapt your solution. Discuss how the complexity changes and any new trade-offs.

Key Points to Mention

  • Clarify input constraints (size, range, duplicates) and edge cases (empty input, large input).
  • Start with a brute-force solution and then optimize, explaining the trade-offs.
  • Use appropriate data structures (e.g., hash maps, heaps) to improve efficiency.
  • Analyze time and space complexity using Big O notation, considering worst-case and average-case.
  • For the follow-up, consider how the problem changes (e.g., different constraints, additional operations) and adjust the algorithm accordingly.
  • Communicate clearly and think aloud to demonstrate problem-solving process.

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

Q2

Behavioral questions covering past work situations, with the interviewer asking follow-ups on specific scenarios.

Adaptability & AmbiguityConflict Resolution
Author's notes

This part went better than I expected.

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AI HintsAI Generated

Suggested Approach

Use the STAR method to structure your answers, focusing on situations that highlight adaptability and conflict resolution. Be prepared to dive deeper into any part of the story when the interviewer asks follow-ups, so choose examples where you remember specific details and can articulate your thought process and actions clearly.

Pro tip: Google values data-driven decisions and collaboration. Quantify your impact where possible and show how you incorporated feedback or data to navigate ambiguity or resolve conflict.

1. Situation

Set the context: describe the project, team, and the specific challenge related to adaptability or conflict. Keep it concise but include enough detail to make the scenario clear.

2. Task

Explain your responsibility in that situation. What were you expected to do? What was at stake?

3. Action

Detail the specific actions you took. Focus on how you adapted to changing circumstances or resolved the conflict. Highlight your thought process, communication, and collaboration.

4. Result

Share the outcome. Quantify the impact if possible (e.g., time saved, improved performance, team satisfaction). Mention what you learned and how you grew.

5. Follow-up Preparation

Anticipate follow-up questions by reflecting on alternative approaches, what you might do differently, and how you handled specific challenges. Be ready to provide more granular details.

Key Points to Mention

  • Demonstrate adaptability by showing how you adjusted to changing requirements or priorities.
  • Highlight conflict resolution skills by describing how you listened to different perspectives and found common ground.
  • Emphasize data-driven decision making: mention metrics or feedback that guided your actions.
  • Show collaboration and communication: how you kept stakeholders informed and aligned.
  • Quantify results: use numbers to show the impact of your actions.
  • Reflect on learnings: what you would do differently and how you applied lessons to future projects.

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