Interview Experience - Google Software Engineer | L4
Summary
📌 Job Role: Software Engineer
🔢 Number of Rounds: 4
📜 Offer Status: Accepted
📍 Location: Bay Area, US
👤 Candidate Name: Not disclosing due to signed NDA
Interview Process
I just received an L4 SWE offer from Google, and I wanted to share my journey to help others going through the process. I was referred internally by a friend and after several rounds, I was fortunate to receive an offer. Here’s how it went.
Background
Current Role: SWE at a Fortune 500 financial institution with just under 3 years of experience
Education: Master's in Applied Math and currently pursuing a second Master’s in Computer Science (OMSCS)
Timeline
Referral: December 2024
Behavioral Assessment + Initial Team Match: December 2024
Recruiter Call: February 2025
Direct to Onsite (3 Technical + 1 Behavioral): March 2025
Initial Role Filled + Second Team Match: March 2025
Hiring Committee Decision: April 2025
Preparation Guide
Before diving into specifics, one thing is important to call out: this process is not about short-term cramming. Preparing for a company like Google requires months—if not years—of disciplined practice.
Technical Preparation
1. Fundamentals with Structy
I started with Structy (structy.net). I had tried Neetcode Premium and Leetcode’s courses, but Structy stood out in terms of helping me master core data structure implementations. The key is building muscle memory so that for any graph problem, I could drop a BFS implementation from memory without hesitation. That freed up mental space to focus on the unique parts of a problem.
2. Repetition with Problem Sets
Once my fundamentals were strong, I worked through Alphabet150 and Grind169. These problem sets have significant overlap, and the goal here is repetition and pattern recognition. I practiced using a fixed problem-solving framework (which I’ll outline below) on every problem to simulate a real interview environment.
3. Mental Reps with Flashcards
In the last 1–2 weeks, I shifted to flashcard-style problem review. I would read a problem and walk through my solution framework mentally—no coding. If I got it wrong, I coded it up. If I got it right, I moved on. This helped crystallize my recall.
4. Communication Practice
I spent four Saturdays doing mock interviews with friends. Finding a reliable mock partner is tough—I recommend joining communities like CS Career Hub Discord. If you can’t find someone, services like HelloInterview are a solid option. Mocking helped me refine how I talk through problems and share my thought process in a structured way.
Behavioral Preparation
For behaviorals, I used a hybrid of HelloInterview’s story builder and the CARL method (Context, Action, Result, Learning). I used Obsidian for organizing and tagging stories so I could quickly reference and adapt them during interviews.
I focused my stories around themes like:
Ownership
Navigating ambiguity
Delivering measurable impact
These are crucial to demonstrate as a mid-level engineer where independence is expected.
Interview Rounds
The interview process included 3 technical rounds and 1 behavioral round. Here’s how each went:
Round 1: DSA Interview
Duration: 45 minutes
Difficulty Level: Medium
Experience:
The first technical round was a classic Leetcode-style DSA problem. I took a few minutes to clarify inputs, constraints, and walk through the brute-force before optimizing. Using my internal framework, I talked through the solution step-by-step and finished with a working solution and complete test coverage.
Key Learnings:
Having a fixed framework eliminates panic and ensures coverage of all aspects—constraints, brute force, optimization, and edge cases.
Round 2: DSA Interview
Duration: 45 minutes
Difficulty Level: Medium-Hard
Experience:
This problem had a graph element and required a hybrid of BFS and greedy logic. I used my default strategy:
Summarized the problem
Clarified input/edge cases
Sketched brute force
Proposed optimizations
Got interviewer buy-in before coding
The problem mirrored one I’d done during practice, and having that muscle memory made implementation swift.
Key Learnings:
Know your BFS/DFS like the back of your hand. Once the structure is second nature, you can focus on the problem-specific twist.
Round 3: DSA Interview
Duration: 45 minutes
Difficulty Level: Medium
Experience:
A greedy + sorting problem. The key was to think in terms of matching two lists with certain constraints. I approached this problem just like I did in my flashcard practice and used the following reasoning (example: LC 2410):
# players = [4,7,9] #
trainers = [2,5,8,8] #
Brute force: Try all player-trainer combinations # Optimized: Sort both lists, use two pointers to maximize matches
Key Learnings:
Sorting + two pointers is a powerful combo. Recognizing patterns from practice helps reduce problem-solving time.
Round 4: Behavioral Interview
Duration: 45 minutes
Difficulty Level: Medium
Experience:
The behavioral round focused on ambiguity, conflict resolution, and ownership. Thanks to my Obsidian notes and CARL-prepped stories, I had multiple examples ready. The stories were well-received, especially those with cross-functional collaboration and data-backed results.
Key Learnings:
Many engineers underperform in behavioral rounds. Prepare as seriously as you would for DSA. Focus on structure, clarity, and real ownership impact.
Final Thoughts
This journey wasn’t easy. In fact, I’d previously failed interviews at 2–3 other companies, which crushed my confidence. Imposter syndrome is real, and it can eat away at your preparation.
But here’s what changed: I stopped relying on brute willpower or hoping I’d get lucky with “easy” problems. I built a repeatable, deliberate, and structured approach to prep—both technically and behaviorally.
When I walked into my Google onsites, the questions that used to seem impossible felt solvable. And they were.
Advice for Others
Have a repeatable framework. Structure > intuition under pressure.
Build from the ground up. Structy -> Alphabet150/Grind169 -> Mock interviews.
Behavioral is not optional. Especially at L4+, your ability to navigate ambiguity and lead efforts matters.
Be honest about your weak points. Then commit to fixing them.
Mock early, mock often. Communication is as important as code.