Oracle || SDE3 || Interview Experience
I had a 4-round interview process. The interview focused mainly on DSA, HLD/System Design, and behavioral questions.
Round 1 — Technical
The round started with a DSA question:
- Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit
https://leetcode.com/problems/longest-continuous-subarray-with-absolute-diff-less-than-or-equal-to-limit/
After DSA, the interviewer asked a few system design/backend concepts:
- How does pagination work?
- How would you implement pagination at the API and database level?
- How does OAuth 2.0 work?
- How would you handle data loss in a distributed system?
Round 2 — System Design
This round was primarily focused on HLD.
I was asked to design a temporary email service where:
- Users can generate a temporary email address.
- The email address remains active for 5 hours.
- During those 5 hours, the user can receive emails on that address.
- After 5 hours, the temporary email and its associated data should be deleted/expired.
- The interviewer also asked how I would handle the large volume of emails/data generated by the system and how the cleanup process would work.
The discussion covered storage, expiration, cleanup, scalability, and handling a large amount of data.
Round 3 — HM Round
The round started with a few behavioral questions.
After that, I was asked a DSA question based on prescription records.
Given records:
patientId, doctorId, drugName, date
The task was to find patient + drug pairs where the same drug was prescribed by different doctors within 30 days.
Additional conditions:
- Input is sorted by date.
- A pair should be printed only once.
- Output should be:
patientId drugName.
Example:
P1 D1 Atorvastatin 2025-01-10
P1 D2 Atorvastatin 2025-02-05
P2 D3 Metformin 2025-03-01
P2 D4 Metformin 2025-03-25Output:
P1 Atorvastatin
P2 MetforminAfter the DSA question, I was asked to design an HLD for a movie/concert booking system.
Round 4 — Bar Raiser
The final round was a Bar Raiser round.
It started with some behavioral questions, followed by an HLD question which I don't remember exactly.
After that, I was asked a backtracking-based DSA question.
Overall, the process had a good mix of DSA, HLD, backend fundamentals, and behavioral questions.


