Site Reliability Engineer Interview Experience

Given an input file, parse it, do the required mathematical calculation, and return the result.

I used C# and made sure to talk through my approach before coding, because they really do interrupt and change constraints while you are working. The base problem was simple, but the real discussion was around productionizing it: how I would handle millions or billions of inputs, what I would do if the input did not fit in memory, how I would deal with invalid or oversized inputs, and how I would surface exactly where parsing failed. After I coded the first version, the interviewer added new constraints midstream, then pushed on test cases, error handling, and logging.

The setup was a vague post-deploy outage, so I started by asking about scope, impact, exact errors, logs, and architecture. We used a shared doc, and I wrote down my hypotheses plus the Linux commands I would run, and the interviewer gave me the expected outputs instead of making me run anything directly. At each step, if I ruled something out, he asked why I was going in that direction, so I had to keep my logic explicit. I got to the root cause, but I needed a couple of clues to get into the details. Once we had it, I proposed the long-term fix first, then with follow-up nudges I also got to the short-term fix.

I answered it in terms of how I collaborate and try to influence without becoming rigid. The round was less about proving I was right and more about showing that I can stay positive, work through disagreement, and still move the team toward success in a collaborative way.

I framed my answer around staying calm, professional, and open-minded even when the other person was difficult to deal with. That round was really checking whether I could handle friction without becoming negative and whether I keep a learning mindset instead of escalating everything emotionally.

I treated it as an end-to-end walkthrough and structured the whole thing myself. I started from parsing and validating the URL, then DNS, then the system-call side, socket creation, packet flow, interrupts, receiving the response, and the process/task side under the hood. It was actually a great question because it let me show depth across each layer. The interviewer mostly let me lead, and then once I went deep, he started probing whatever area I had opened up.

Explain networking protocols like QUIC and why they matter.

They also asked me about networking protocols, especially QUIC, plus interrupts and signal handlers. The pattern was that once I showed depth in one area, they drilled into the theory behind it, so it was not enough to name concepts. I had to explain why those mechanisms are useful and what advantage they give.

Write a script to ping hosts, identify the slow ones, and then loop through those hosts to print specific data.

The scripting part started simple and then got more complicated across three iterations. First it was just pinging hosts, then identifying which hosts were slow, and then looping through those hosts to print some specific output. It was another example of Google not caring about tricky algorithms as much as whether I can write practical automation and adapt when the requirements change.

Explain signals, signal handling, and signal masking.

They asked a lot around signals, signal handling, signal definitions, and signal masking. What mattered was not just knowing the terms, but being able to explain why the mechanism works that way and when it matters in real systems.

What is the difference between background and foreground processes?

I was also asked about background versus foreground processes from a Linux fundamentals angle. Again, it felt very fundamentals-heavy rather than trivia-heavy.

What is the difference between hard links and soft links, and what are the tradeoffs?

The round wrapped up with hard links and soft links, including the pros and cons of each. It was very much a fundamentals check, but with the expectation that I could explain the why instead of giving one-line definitions.