Preparing for backend SDE interviews can be really tough. I always felt like there was still so much to learn, especially when it came to tricky areas like system design, distributed systems, and database optimization. Just hearing about these topics can scare a lot of people off. At first, I tried learning on my own—solving problems and watching tutorials—but quickly realized that wasn’t enough. That’s when I decided to join Drill Insight’s interview coaching program, and looking back, it was definitely a good choice.
When I met my mentor for the first time, he helped me review my resume, especially the backend projects I’d worked on. He pointed out that terms like "API design" really catch the interviewer's attention, but what really matters is explaining how and why I did things. For example, I had worked on a RESTful API for an e-commerce platform. My mentor showed me how to explain details like load balancing, caching, and rate limiting, and how those things improve performance and reliability. It was a game-changer for me in terms of how I explained my work.

The hardest part for me was system design interviews. Questions like "Design a URL shortening service" or "Design a scalable chat app" seemed so open-ended, and I wasn’t sure where to begin. Fortunately, my mentor broke it down for me. First, he taught me how to analyze the requirements—what’s necessary and what’s not, like scalability and fault tolerance. Then we’d sketch out a high-level design with the main components. After that, we’d go into more details, like deciding between SQL or NoSQL databases. Finally, he emphasized making trade-offs and explaining why I chose a certain approach. After a few mock interviews, I started to feel more confident in explaining these complex ideas clearly.
Data structures and algorithms are big in backend interviews, so I practiced a lot with common problems like binary search trees, hash tables, and graph traversal. My mentor also showed me how to explain my solutions in terms of time complexity and space complexity, which made me more aware of how efficient my answers were.
Database design was another important area. Knowing when to use relational databases versus NoSQL (like MongoDB or Cassandra) was crucial. I remember a mock interview where my mentor asked me to design a database for a social media platform, thinking about indexing, many-to-many relationships, and ensuring high availability. Thanks to the coaching, I felt much more confident talking about these topics.
One of the biggest things I learned was about deployment and scalability. I knew a bit about CI/CD, Docker, and Kubernetes, but I hadn’t really used them before. My mentor walked me through deploying microservices on Kubernetes and checking performance with Prometheus and Grafana. It really helped me see how these tools work in the real world.
Besides the tech side, my mentor helped me with soft skills, too. He taught me the STAR method (Situation, Task, Action, Result) for talking about my project experience. It helped me explain things clearly and feel more confident in interviews.
Looking back, working with a mentor was one of the best decisions I made. It made me feel way more confident in my skills and how I communicate. If you’re getting ready for a backend SDE interview, I really recommend finding a mentor—it made all the difference for me!