Technical interviews can feel daunting, but with the right preparation strategy, you can walk into any interview with confidence. After coaching hundreds of students through successful interviews at companies like Google, Meta, Amazon, and startups, here's the framework I recommend.
Start with fundamentals. Spend the first 2-3 weeks reviewing data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, BFS/DFS). Use platforms like LeetCode, focusing on medium-difficulty problems. Aim for 2-3 problems per day.
System design preparation should happen in parallel. Read 'Designing Data-Intensive Applications' by Martin Kleppmann, and practice designing systems like URL shorteners, chat applications, and social media feeds. The key isn't memorizing designs — it's developing a framework for breaking down ambiguous problems.
Behavioral interviews are where most candidates under-prepare. Use the STAR method (Situation, Task, Action, Result) to prepare 6-8 stories that demonstrate leadership, conflict resolution, technical decision-making, and failure recovery. Practice telling these stories out loud until they feel natural.
Mock interviews are non-negotiable. Find a study partner or use a platform like Pramp to simulate real interview conditions. The pressure of performing in front of another person activates different cognitive processes than solving problems alone.
In the final week before your interview, shift from learning new material to reviewing what you've already studied. Focus on your weak areas, re-solve problems you struggled with, and ensure you can articulate your thought process clearly. Remember: interviewers care as much about how you think as what you know.