Microsoft SDE Intern Interview Experience
💼 LTIMindtree Interview Experience (On-Campus) | Fresher | 2026
Salesforce SMTS | Interview Experience | Rejected
JPMC | SDE2 (Associate) - Java Backend - Interview Experience + Compensation
Microsoft - SDE2 - Coding Round
Amazon || SDE-2 || Interview Experience
Summary
I interviewed for an SDE-2 role at Amazon, undergoing 5 rounds covering DSA, LLD, HLD, and a Bar Raiser. Despite strong performance in most rounds, a 'CONCERN' in an LLD round and a subsequent dedicated LLD round led to a rejection from the specific team, though HR is actively looking for other potential team matches.
Full Experience
OA:
2 DSA Questions + System Design Matching Based Question + Behavorial Questions DSA Question
- LC Medium Question (dont exactly remember the topic)
- LC Medium Question based on Sliding Window
Round - 1
- DSA Round
- 1 Amazon Leadership principle
- 1 Question on top - K most popular items in last hour and of All time
VERDICT: STRONG HIRE
Round - 2
- LLD Round
- Design a Logger Framework
- 2 Amazon Leadership principle
VERDICT: CONCERN
Round - 3
- HLD Round
- Design A Recommendation Service
- 2 Amazon Leadership principle
VERDICT: STRONG HIRE
Round - 4
- Bar Raiser Round
- Medium Question on Infinite Data Stream
- 2 Amazon Leadership principle
VERDICT: STRONG HIRE
Status: Awaiting Reply from HR
$$EDIT:$$ HR said, since there is concern on LLD, one more in-person round was scheduled
Round - 5
- LLD Round
- LLD of stack overflow
- 1 LP
Self Verdict: was able to design the Stack Overflow overall, but interviewer keep fixating a lot on DB Normalisation, which I couldn't answer.
Verdict: REJECT [HR mentioned that this team is not going forward with your candidature, but on the basis of your Debrief is asking other teams]
Interview Questions (4)
Design a system or algorithm to find the top-K most popular items within the last hour and the top-K most popular items of all time.
Design a scalable and efficient logger framework.
Design a recommendation service.
Perform the low-level design (LLD) for a platform similar to Stack Overflow. The interviewer focused heavily on database normalization during the discussion.