I’ve been practicing Data Structures and Algorithms for months, but I feel like I’m hitting a wall with hard-level problems. Are mid-sized companies actually asking these complex dynamic programming questions, or should I spend more time building full-stack projects to show off my actual coding skills? I don't want to waste time on puzzles if they aren't used in the real world.
3 answers
In my experience hiring for mid-sized firms, we rarely touch "LeetCode Hard" problems. We focus on "Medium" problems that test your understanding of Arrays, HashMaps, and basic String manipulation. What we value more is your ability to explain your thought process and how you handle edge cases. If you can solve a Medium problem and then discuss the trade-offs of your approach, you are in a great spot. Don't neglect your projects, though; a well-documented GitHub repo often serves as a better conversation starter than a high LeetCode rank.
Brenda, would you say that specifically focusing on System Design is more important for mid-level roles than grinding more algorithm puzzles at this point?
I found that doing 2-3 Medium problems a day was the sweet spot. Anything more lead to burnout and didn't actually help me during the actual technical deep-dive interviews.
I agree with Jordan. Consistency over intensity is key. It’s better to understand 50 patterns deeply than to struggle through 500 random problems without a strategy.
Shane, absolutely. For mid-level roles, we expect you to know how to scale a database or implement caching. Answering an algorithm question is just the baseline; explaining how that logic fits into a distributed system is what actually gets you the job offer. Spend 70% of your time on design and projects once you've mastered the basic algorithms.