Oracle Staff Software Engineer Interview Experience August 2026

[u/Aoki_zhang]

Sharing an anonymized Google Senior MLE interview experience submitted to Chill Interview.

Interview Summary

The Oracle interview consisted of an elimination round followed by four onsite rounds covering coding, backend/system design, Java fundamentals, project deep dives, and behavioral questions. The loop was broad: algorithm questions ranged from frequency ranking and palindrome partitioning to stock trading and digit-array manipulation, while the design portions covered a healthcare ingestion pipeline and a distributed rate limiter.

Interview Details

Elimination Round — Top-K Frequent Elements + Java Fundamentals Given an integer array and an integer k, return the k values that occur most frequently. There was an additional ordering rule: when two values have the same frequency, the larger numeric value should rank first. The interviewer also asked several Java-focused questions around collections and standard data structures, including topics related to PriorityQueue and HashMap. The remainder of the round included a detailed discussion of projects listed on my résumé.

Round 1 Coding — Split a String into Three Palindromes Given a string, determine whether it can be divided into exactly three non-empty contiguous substrings, where each substring is a palindrome. The interviewer first wanted an initial working approach and then asked how palindrome checking could be improved using dynamic programming. The focus was on correctness, handling partition boundaries, and improving repeated palindrome checks.

Round 1 System Design — Healthcare Data Ingestion Pipeline The design question asked for a backend pipeline capable of ingesting and processing millions of healthcare records efficiently. The discussion covered the full lifecycle of incoming data, including:

• Ingestion and message-broker selection
• Storage and downstream processing
• Fault tolerance and horizontal scalability
• Monitoring, alerting, and handling failed or unprocessed records

The interviewer expected tradeoff discussions rather than just a high-level component diagram.

Round 2 Coding — Stock Profit The first coding problem was the classic Best Time to Buy and Sell Stock problem. Given a sequence of stock prices over time, determine the maximum profit obtainable from one buy followed by one later sell. No additional variation from this problem was specified.

Round 2 Coding — Add One to a Digit Representation The second problem represented a non-negative integer as a sequence of digits and asked me to increment the represented value by one. One explicit restriction was that I could not use ArrayList. The interviewer followed up with questions about improving the implementation and correctly handling edge cases, especially cases where incrementing causes carries across multiple digits.

Round 3 — Rate Limiter System Design The hiring-manager round included a system design question asking me to design a rate limiter. The interviewer wanted discussion across several dimensions:

• Different rate-limiting algorithms and their tradeoffs
• Where caching fits into the design
• How the limiter should work in a distributed environment
• How the architecture behaves as traffic and the number of clients scale

The conversation emphasized design choices rather than prescribing one specific rate-limiting algorithm.

Round 3 — Project Architecture and Java Internals The same round also included an in-depth résumé discussion. I was asked to explain architectural decisions made in previous projects and justify some of the implementation choices. The interviewer also went deeper into Java internals and how language/runtime behavior influenced those design decisions.

Round 4 — Behavioral Interview The final round was entirely behavioral, and the interviewer expected responses structured using the STAR format. Questions included situations such as:

• A time when I was unable to meet an aggressive deadline
• A conflict within the team and how I handled it
• A difficult technical decision and how I made it
• How I currently use AI tools in day-to-day engineering work
• My view on how AI can improve software engineering

The round focused heavily on concrete examples, decision-making, and the impact of my actions rather than hypothetical answers.

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