[ OK ] 87017fce-a813-437e-b7e7-a9dd8877ee60 — full writeup
[ INFO ] category: Behavioral · Multiple Types difficulty: 6 freq: first seen: 2026-03-05
[6][MULTIPLE TYPES]Variadic FunctionsDepth-First SearchSystem DesignBehavioral Questions
$ cat problem.md
Confluent — Software Engineer ✅ Passed
Level: Senior-Level
Round: Full Journey · Type: Multiple Types · Difficulty: 6/10 · Duration: 300 min · Interviewer: Neutral
Topics: Variadic Functions, Depth-First Search, System Design, Behavioral Questions
Location: San Francisco Bay Area
Interview date: 2025-12-20
Summary
Round 1: Phone Screen
Question: Variadic function implementation. This is a frequently asked question.
Round 2: Virtual Onsite - Coding
Question: Monster game question with two parts. The first part can be solved using DFS. The second part was more complex.
Round 3: Virtual Onsite - Coding
Question: Implement tail N lines. I finished quickly with several simple follow-ups.
Round 4: Virtual Onsite - System Design
Question: Design a temporary email service.
Round 5: Virtual Onsite - Behavioral
Question: Standard behavioral questions.
Details
Preparation Tips & Key Takeaways
What I Learned
- It's important to be familiar with common interview questions, especially those related to data structures and algorithms.
- System design questions require a good understanding of real-world applications and scalability.
- Preparing for behavioral questions using the STAR method is crucial.
Recommended Preparation
Coding Practice
- Practice graph traversal algorithms like DFS.
- Focus on implementing common utility functions such as tail N lines.
System Design
- Study system design principles for high availability and scalability.
- Review common design patterns for temporary email services.
Behavioral Questions
- Prepare STAR stories for leadership, teamwork, and conflict resolution.
- Practice discussing my accomplishments and challenges.
Resources I Recommend
- LeetCode for coding practice.
- Online system design courses.
- Amazon's leadership principles for behavioral preparation.
Common Pitfalls to Avoid
- Not being familiar with basic data structures and algorithms.
- Neglecting system design preparation.
- Being unprepared for behavioral questions.