Apple SDE Interview Experience - Java, SpringBoot & Microservices role
Summary
I went through five interview rounds for an SDE role at Apple, covering DSA, system design, and behavioral topics, but was ultimately rejected.
Full Experience
I applied through the careers page and later received a test link from HR. After clearing the test, I got a recruiter call for a virtual interview event consisting of two rounds. Once those were cleared, team matching happened based on my profile, and then three onsite rounds were scheduled.
There were a total of five rounds — two initial virtual rounds followed by onsite rounds.
Round 1 (DSA + Backend Fundamentals): This round had a mix of coding and backend-related questions.
The coding question was a stack-based problem to check if a string of parentheses is balanced.
Apart from that, there were several questions on backend fundamentals:
- Kafka basics and internals (for example, what actions a consumer can or cannot perform)
- SQL joins and which ones are more efficient in different scenarios
- Internal structure of systems like Redis
Round 2 (DSA + System Concepts + Resume Discussion): This round was more discussion‑heavy.
A lot of questions were based on real‑world scenarios:
- How to detect and debug memory leaks
- What a heap dump is and when to use it
- How to debug a service that becomes slow even under low traffic
- Ways to handle high traffic (rate limiting, scaling approaches, etc.)
- How to optimize SQL queries
- Handling cascading failures (discussion around circuit breakers)
There were also questions based on my resume and past work.
For DSA, I was asked to design a function for a rate limiter and discuss possible optimizations in both logic and implementation.
Onsite Rounds
Round 3 (DSA + Concurrency): This round included both coding and conceptual discussion.
There were questions around Java concurrency and some database‑related design choices. The coding part involved designing a system using abstraction principles — specifically something along the lines of applying a strategy pattern for calculating dynamic pricing.
Round 4 (System Design): This round focused on system design and backend fundamentals.
Discussion around HTTP status codes (success, client errors, server errors, etc.) Designing a video upload system (similar to large‑scale media platforms), including handling uploads, storage, and retrieval
Round 5 (Hiring Manager – Behavioral): This was a conversational round.
Topics included:
- Why I’m looking for a change
- Discussion around previous projects
- Handling ambiguity in work
- Dealing with conflicts within a team (with examples)
Overall, the interviews were a mix of coding, backend fundamentals, and real‑world problem‑solving, with a strong emphasis on practical understanding of systems.
Verdict: Rejected
Interview Questions (4)
Check Balanced Parentheses
Given a string consisting of parentheses characters '(' and ')', determine if the string is balanced, i.e., every opening parenthesis has a corresponding closing parenthesis in the correct order. Use a stack-based approach to validate the string.
Design a Rate Limiter Function
Implement a function that limits the number of requests allowed per unit time. Discuss possible optimizations in both the logic (e.g., token bucket vs. leaky bucket) and implementation details.
Dynamic Pricing using Strategy Pattern
Design a system that calculates dynamic pricing using abstraction principles, specifically applying the Strategy pattern to allow interchangeable pricing algorithms.
Design a Video Upload System
Design a large‑scale video upload system similar to major media platforms. Cover aspects such as handling uploads, storage, retrieval, scaling, and reliability.