My Intuit SWE-2 Interview Experience (Offer Received 🎉)

I recently interviewed for a Software Engineer 2 role at Intuit and wanted to share my full journey so it can help others preparing for similar roles.

📍 Process Overview

• Experience: 1.9 years

• Previous CTC: ₹19.45 LPA base + ₹90k variable

• Final Offer: SWE-2 @ Intuit

  • Base: ₹27 LPA
  • Stocks: ₹7.25 L/year
  • Annual Bonus: ₹3 LPA
  • Relocation Bonus: Included

Round 0 – Phone Screening (DSA + HLD)

DSA Questions (Linked List):

1. Reverse a Linked List (Iterative & Recursive)
2. Find the Middle of a Linked List
3. Reverse in k-sized groups

All tested thoroughly with edge cases.

HLD Discussion:

• CAP Theorem, ACID properties
• My previous project work
• What transactions are & how they work

✅ Feedback: Positive — cleared to next round.

Round 1 – Take-Home Spring Boot Project

They gave me a Spring Boot project beforehand with ~1 week to set it up locally. Expected me to have it running for the next rounds.

Onsite (4 Rounds on the same day itself)

🛠 Round 1 – Spring Boot Development (90 mins, 4 interviewers)

Tasks:

• Develop 2 new APIs in the given project

• Discuss:

  • Pagination (how, why, when to use)
  • Data Layer / Service Layer design
  • Global Exception Handling
  • Security & Rate Limiting
  • Show code structure & where each piece would go
  • I had developed 2 apis end to end by the end of the interveiw , all of the seemed satisfied

💻 Round 2 – DSA + HLD (2 interviewers + 60 mins)

DSA:

• Reverse words in a string in-place (Java, no extra space) — I usually code in C++, so this was a twist.
• Time complexity analysis for given loops (with assumptions).

HLD / Debugging:

• Given an LLM endpoint, set it up locally with a properties file.
• Pagination: Discussed maximum possible page numbers & what happens with absurdly large values (I missed part of this).
• Debugging approach in a Java client.
• Test cases design (didn’t code)., asked how are you going to write testcases for different apis , unit test cases , integration tests and all

🤖 Round 3 – AI/ML Concepts (Scheduled 30 mins → went 45 mins)

Questions included:

• What is Machine Learning?
• How to know if a model is “trained enough”?
• K-Means Clustering
• How images are converted to vectors
• What is a Vector Database?
• How vector similarity is calculated
• Reinforcement Learning basics
• RAG (Retrieval Augmented Generation)
• Agentic AI / AI Agents / Generative AI
• Neural Networks (how they work)
• AI usage in my company

🧑‍💼 Round 4 – Managerial (30 mins)

• Why Intuit?
• Why are you fit for this role?
• Where do you see yourself in 5 years?
• Team role expectations & alignment

🎯 Key Takeaways & Tips

• Know your fundamentals — DSA + HLD basics are equally important.
• Be ready to code in multiple languages (even if you’re stronger in one).
• For Spring Boot, know pagination, exception handling, security, and service/data layer separation.
• If given a take-home project, go beyond just “making it run” — prepare to extend & modify it.
• Brush up AI basics — even if the role isn’t purely AI-focused, awareness of concepts like RAG & Vector DBs can impress.

💬 Feel free to ask if you have any questions , happy to share!