Refreshed monthly, last refreshed on November 6, 2025
| Problem | Patterns | Difficulty | |
|---|---|---|---|
| 1101. The Earliest Moment When Everyone Become Friends | Medium | ||
| 1. Two Sum | Easy | ||
| 213. House Robber II | Medium | ||
| 1710. Maximum Units on a Truck | Easy | ||
| 805. Split Array With Same Average | Hard | ||
| 15. 3Sum | Medium | ||
| 815. Bus Routes | Hard | ||
| 200. Number of Islands | Medium | ||
| 704. Binary Search | Easy | ||
| 25. Reverse Nodes in k-Group | Hard |
Google's interview process starts with a resume screening to assess a candidate's skills, experience, and suitability. After this, candidates might face an Online Assessment (OA), which tests their coding abilities and problem-solving skills. This is typically followed by one or two phone screen interviews that dive deeper into technical knowledge and coding proficiency.
If successful in the initial stages, candidates are invited for onsite interviews, which consist of four to five rounds. These onsite rounds are known for their difficulty, often involving complex algorithm questions, system design, and sometimes a behavioral interview to gauge cultural fit and teamwork abilities. Each round is designed to challenge and evaluate different aspects of a software engineer's capabilities.
Google's resume screening involves proprietary algorithms and human reviewers focusing on technical skills and past project impact. They prioritize candidates with clear quantification of achievements in past roles.
Applicants may face online assessments (OAs) testing coding skills, followed by a preliminary screening call. Around 20% progress past the initial OA to the next interview stage.
Google typically conducts one or two phone screenings for software engineering positions. These initial interviews focus on coding skills and problem-solving capabilities and often involve solving algorithms or technical questions using a shared Google Doc.
The phone interview serves as a fundamental step to assess a candidate’s technical proficiency and thought process before progressing to the more comprehensive onsite interviews. It’s vital to be well-prepared in relevant programming languages and data structures.
At Google, the onsite interview round is a crucial step. Candidates generally face four to six interviews, each lasting about 45 minutes. These sessions are typically divided into coding, system design, and a Googleyness & leadership assessment.
The coding interviews focus on data structures and algorithms, while the system design interviews assess your ability to architect scalable systems. Google emphasizes assessing problem-solving skills and cultural fit through behavioral questions during the Googleyness & leadership interview.
After completing all interview rounds at Google, candidates often enter the team matching phase, where they discuss potential fits with various teams. Following this, successful candidates may negotiate job offers and occasionally meet with executives.

Aspiring to ace a software engineering interview at Google requires a tactical approach to coding problem patterns. LeetCode data reveals a distinct emphasis on Dynamic Programming, Depth-First Search, and Breadth-First Search. What sets Google apart is the lesser focus on simpler coding patterns like Simulation and Two Pointers, each with only a handful of problems. This suggests that Google values candidates who can navigate complex data structures and algorithms over straightforward problem solving. Dynamic Programming and Basic DSA also hold significant weight, indicating a balanced blend of complexity and foundational knowledge in their coding interviews.
Google evaluates candidates on four main attributes: General Cognitive Ability, Leadership, Role-Related Knowledge, and Googleyness. Behavioral questions focus primarily on Leadership and Googleyness. Expect 2-3 behavioral questions per round using the STAR method.
Googleyness evaluates culture fit and how you work with others. Google looks for eight core traits: comfort with ambiguity, humility, action bias, ethical decision-making, ownership, high standards, creative thinking, and collaborative spirit.
1. Comfort with Ambiguity
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2. Collaboration and Helpfulness
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3. Intellectual Humility
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4. Conscientiousness & Ownership
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5. Innovative & Creative Thinking
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6. Bias for Action & Results
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7. High Standards & Excellence
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8. Ethical Decision-Making
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Every Google interview typically starts with these:
"Why Google?"
"Tell me about yourself"
"Where do you see your career in 5 years?"
Google looks for "emergent leadership" - the ability to step up when needed, regardless of title. Leadership questions assess your ability to influence, drive results, and develop others.
1. Taking Initiative & Influence
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2. Handling Conflict & Difficult Situations
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3. Developing Others & Team Growth
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4. Strategic Thinking & Decision-Making
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Sample Question: "Walk me through a complex technical project you led from start to finish."
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Structure:
Prepare 10-12 STAR Stories
What Google Looks For
Common Follow-Up Questions
Avoid These Mistakes
Technical Preparation
Mock Interviews
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