🚀 Recently interviewed at an early-stage startup — and it genuinely pushed me to rethink my preparation.
The process had 3 rounds, and each one tested a very different dimension:

🧠 Round 1: DSA
Questions around Dynamic Programming, greedy optimizations, and binary search on answer
Strong focus on writing optimised code, reducing time/space complexity, and handling edge cases
👉 It wasn’t just about solving — it was about reaching the most optimal solution and being able to justify it.

🏗️ Round 2: Low-Level Design (LLD)
Designed a Rate Limiter (token bucket, sliding window, distributed considerations)

👉 They went deep into:
Class design and extensibility (supporting multiple strategies)
Thread safety and concurrency handling
Trade-offs between different rate limiting approaches
Distributed rate limiting challenges (multi-instance setup)
Basic memory considerations and cleanup strategies
API design and real-world usage scenarios

🌐 Round 3: System Design
Designed a high-throughput event streaming system (Kafka-like)

👉 Follow-ups included:
High-level architecture and component breakdown
Partitioning strategy and scaling approach
Handling failures and ensuring fault tolerance
Basic replication strategy and data durability
Consumer group behavior and rebalancing (at a high level)
Trade-offs between latency vs throughput

💭 My biggest takeaway
Interviews today are no longer surface level knowledge...
They are about:
✅ “Can you design, scale, and think like someone building real-world systems?”

⚡ Reality check
The bar has gone much higher than before:
DSA → deep understanding + optimizations
LLD → production-level thinking
System Design → solid distributed systems knowledge

And on top of that:
👉 You’re expected to stay updated with latest tech shifts (AI, modern Kafka architecture, scalable infra, etc.)

💡 Final thought
It’s no longer enough to just prepare.
You need to evolve continuously.
Revisit fundamentals
Build real systems
Stay updated

#SoftwareEngineering #SystemDesign #DSA #BackendEngineering #TechInterviews #Learning