@system_monarch: Suppose you have interviews scheduled for these 70LPA-1Cr+ CTC roles: Google L5 / Meta E5 / Uber Staff / Amazon L6 / Sa…

X AI KOLs Timeline News
system-design interview-preparation scalability distributed-systems senior-engineer tech-career

Summary

A tweet by @system_monarch lists 27 core system design concepts (beginner to advanced) recommended for senior software engineering interviews at top tech companies like Google, Meta, and Uber.

Suppose you have interviews scheduled for these 70LPA-1Cr+ CTC roles: Google L5 / Meta E5 / Uber Staff / Amazon L6 / Salesforce SMTS / Go through these 27 core system design concepts and problems. How many can you reason through in a 1-hour round if the interviewer injects one of them into your design or asks as a follow-up? How much clarity do you have? Beginner: - The thundering herd problem - Cache stampede - N+1 query problem - Hot partition / hot key - Single point of failure - Retry storm - Backpressure - Duplicate requests / idempotency gap - Stale cache / read-after-write inconsistency Intermediate: - Distributed rate limiting - Leader election - Distributed locking and lease expiry - Quorum reads vs quorum writes - Fan-out on write vs fan-out on read - Out-of-order event processing - Dead letter queues and poison messages - Zero-downtime schema migration - Circuit breaker and cascading failure control Advanced: - Split a monolith safely - Multi-region failover - Active-active conflict resolution - Change Data Capture vs dual writes - Search index freshness vs ranking quality - Rebalancing shards under skewed traffic - Noisy neighbor problem in multi-tenant systems - Watermarks / late-arriving events in stream processing - Exactly-once processing vs practical deduplication Most candidates prepare for: - “Design Uber.” - “Design Twitter.” - “Design Dropbox.” These generic prompts are good for beginners, but at senior levels, depth matters. Strong candidates prepare for the even minute problems that can cause disasters at scale.
Original Article
View Cached Full Text

Cached at: 06/26/26, 12:11 PM

Suppose you have interviews scheduled for these 70LPA-1Cr+ CTC roles:

Google L5 / Meta E5 / Uber Staff / Amazon L6 / Salesforce SMTS /

Go through these 27 core system design concepts and problems.

How many can you reason through in a 1-hour round if the interviewer injects one of them into your design or asks as a follow-up? How much clarity do you have?

Beginner:

  • The thundering herd problem
  • Cache stampede
  • N+1 query problem
  • Hot partition / hot key
  • Single point of failure
  • Retry storm
  • Backpressure
  • Duplicate requests / idempotency gap
  • Stale cache / read-after-write inconsistency

Intermediate:

  • Distributed rate limiting
  • Leader election
  • Distributed locking and lease expiry
  • Quorum reads vs quorum writes
  • Fan-out on write vs fan-out on read
  • Out-of-order event processing
  • Dead letter queues and poison messages
  • Zero-downtime schema migration
  • Circuit breaker and cascading failure control

Advanced:

  • Split a monolith safely
  • Multi-region failover
  • Active-active conflict resolution
  • Change Data Capture vs dual writes
  • Search index freshness vs ranking quality
  • Rebalancing shards under skewed traffic
  • Noisy neighbor problem in multi-tenant systems
  • Watermarks / late-arriving events in stream processing
  • Exactly-once processing vs practical deduplication

Most candidates prepare for:

  • “Design Uber.”
  • “Design Twitter.”
  • “Design Dropbox.”

These generic prompts are good for beginners, but at senior levels, depth matters. Strong candidates prepare for the even minute problems that can cause disasters at scale.

Similar Articles