My Interview Experience at Z for the Role of SDE1: A Technical Journey
Recently, I interviewed at Z for the position of Software
Development Engineer 1 (SDE1). The process was tough but offered a great
learning experience. I want to share the rounds I went through, the technical
questions I faced, and some insights from a friend who successfully cleared the
interview.
The Interview Process
The interview process was composed of several rounds, each
testing different skills like coding, problem-solving, and system design.
Here’s a breakdown of what I faced:
Round 1: Online Coding Test
The first round was an online coding test, where I was given
three algorithmic problems to solve within 90 minutes:
Approach: I used dynamic programming to solve this with a time complexity of O(n²).
Approach: Using a min-heap, I solved it with a time complexity of O(n log k), where n is the total number of elements.
Approach: I rearranged the array in place to achieve an O(n) time complexity.
I was able to solve all three problems and advanced to the
next round.
Round 2: Advanced Online Coding Test
This round was more difficult than the first, featuring
advanced algorithmic problems. I was given two hours to complete the following:
Approach: I used Tarjan’s Algorithm, which has a time complexity of O(V + E).
Approach: I used topological sorting followed by dynamic programming.
The classic N-Queens problem asked me to place N queens on an N×N chessboard so that no two queens attacked each other.
Approach: I implemented backtracking and optimized it to handle larger N values.
I completed two out of three problems but struggled with the
last one, which impacted my confidence going forward.
Round 3: Technical Interview I (Data Structures &
Algorithms)
In this round, I had to solve coding problems in front of
the interviewer, who focused on data structures and algorithms. Here are two
problems I was asked:
The interviewer asked me to calculate the longest path (diameter) of a binary tree. I used DFS (depth-first search) to find the diameter and handled edge cases like skewed trees.
The interviewer seemed satisfied with my approach, and I
performed well in this round.
Round 4: Technical Interview II (System Design)
The fourth round focused on system design. I was asked to
design a URL shortening service similar to Bit.ly. The interviewer
wanted to know how I would:
- Store
and retrieve the original and shortened URLs in a database.
- Handle
the system’s scalability as user numbers grew.
- Deal
with hash collisions when generating short URLs.
I made some errors in my approach, especially when it came
to scalability. Although I covered the basics, I missed out on key points that
led to some gaps in my design. I realized later that I needed to dive deeper
into large-scale systems, and I didn’t perform as well as I had hoped.
Round 5: Advanced Technical Interview II (My Friend's
Experience)
Unfortunately, I didn’t make it through the final technical
round. However, my friend, who interviewed for the same position and was
successfully placed at Z, shared his experience with me. Here’s what he faced:
Friend’s Experience:
- He was tasked with designing a system that could send millions of notifications to users in real-time.
- His explanation: He used message queues to manage large volumes of notifications and ensure delivery in batches. He also discussed load balancing and how to respect user preferences in real time.
- The interviewer asked him to design and optimize a rate-limiting algorithm to control the number of requests a user can make to a service.
- His solution: He proposed a token bucket algorithm, which is efficient in handling bursts of traffic. He discussed how the algorithm could be implemented in a distributed system, using Redis for storage.
- Problem 3: Implement Consistent Hashing
- He was asked to implement consistent hashing to distribute load evenly across servers.
- His explanation: Consistent hashing is helpful when scaling distributed systems, as it minimizes the need to reassign keys when servers are added or removed. He walked through its implementation and how it could improve scalability.
Friend’s Reflection: According to him, the
interviewer was keen on hearing trade-offs in his design. He stressed the
importance of explaining why certain design decisions were made and how they
could handle real-world scaling issues.
Round 6: Behavioral Interview
The final round was a behavioral interview, similar for both
of us. I was asked questions such as:
- Describe
a time when you had to meet a tight deadline. How did you handle it?
I shared an example from a past project where time
management was critical. My friend, however, focused more on leadership and
teamwork, which may have given him an advantage during this round.
What I Learned
Even though I didn’t make it through, the interview
experience at Z taught me a lot. Here’s what I learned:
- Be
ready for advanced topics: The advanced coding and system design
rounds were far more difficult than I expected. It’s important to brush up
on algorithms and distributed systems concepts.
- Practice
system design: My friend’s success in the system design rounds shows
how crucial it is to understand scalability, databases, and distributed
systems in detail.
- Explain
your thought process: Whether it’s a coding problem or system design,
explaining your reasoning clearly is key to doing well.
Conclusion
Interviewing at Z was a challenging but valuable experience.
Although I didn’t clear all the rounds, I learned a lot about what companies
like Z expect from SDE1 candidates. If you're preparing for an SDE1 interview,
focus on improving your coding skills, understanding system design, and
preparing for behavioral questions.