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Netflix·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Netflix technical phone screen for a software engineering role. One coding question that looked straightforward but had a follow-up that pushed into concurrency theory pretty fast.

Questions Asked (1)

Q1

Implement a thread-safe atomic counter in Java with increment, decrement, and get operations using the synchronized keyword. Then explain the difference between that approach and using AtomicInteger, including the performance trade-offs around lock contention versus compare-and-swap.

Technical Trade-offsSystem Design
Author's notes

The implementation part was fine, wrapping the methods with synchronized wasn't hard.

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AI HintsAI Generated

Suggested Approach

Start by writing a simple synchronized counter class with increment, decrement, and get methods, then explain how synchronized provides mutual exclusion and memory visibility. Next, compare it to AtomicInteger, highlighting that synchronized uses blocking locks while AtomicInteger uses lock-free CAS, and discuss performance trade-offs under different contention levels.

Pro tip: Mention that under low contention, synchronized can be faster due to JVM optimizations like biased locking, but under high contention, AtomicInteger's CAS avoids context switching and scales better. Also note that AtomicInteger's get() is not synchronized and may return stale values, which is acceptable for many use cases.

1. Implement synchronized counter

Write a class with a private int value and synchronized methods for increment, decrement, and get. Explain that synchronized ensures atomicity and visibility.

2. Explain synchronized mechanics

Describe how synchronized uses monitor locks, causing thread blocking and context switching under contention, and how it guarantees happens-before relationships.

3. Compare with AtomicInteger

Explain that AtomicInteger uses CAS (compare-and-swap) operations, which are lock-free and non-blocking, allowing threads to retry without being suspended.

4. Discuss performance trade-offs

Analyze lock contention vs CAS: synchronized may be faster under low contention due to JVM optimizations, but under high contention, CAS avoids context switching and scales better, though it can suffer from ABA problem and high retry overhead.

5. Summarize and recommend

Conclude that for simple counters, AtomicInteger is generally preferred for scalability, but synchronized is simpler and may be sufficient for low-contention scenarios.

Key Points to Mention

  • Synchronized provides mutual exclusion and memory visibility via monitor locks.
  • AtomicInteger uses CAS (compare-and-swap) for lock-free thread-safe operations.
  • Lock contention causes thread blocking and context switching, degrading performance.
  • CAS avoids blocking but can suffer from high retry overhead under contention.
  • JVM optimizations like biased locking can make synchronized efficient under low contention.
  • AtomicInteger's get() is not synchronized and may return stale values, unlike synchronized get().

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.