Technical Depth Verification Questions
Tests genuine mastery in one or two technical domains claimed by the candidate. Involves deep dives into real world problems the candidate has worked on, the tradeoffs they encountered, architecture and implementation choices, performance and scalability considerations, debugging and failure modes, and lessons learned. The goal is to verify that claimed expertise is substantive rather than superficial by asking follow up questions about specific decisions, alternatives considered, and measurable outcomes.
HardSystem Design
0 practiced
Design a multi-tenant ML inference platform that must serve per-tenant models with isolation, handle up to 10k QPS per model, minimize cold-start latency, provide per-tenant model versioning and A/B testing, and maintain high GPU utilization. Include orchestration, model registry, caching, batching, and security for tenant separation.
HardSystem Design
0 practiced
Plan an end-to-end migration of a stateful message-broker cluster (eg. Kafka) across data centers with minimal downtime and preservation of exactly-once semantics. Describe replication strategy, leader election considerations, partition reassignment steps, offset management, mirroring approach, and verification steps to assert data integrity post-migration.
HardTechnical
0 practiced
You claim deep cryptography experience and developed a JWT alternative for internal microservices with real-time revocation. Explain your threat model, token lifecycle, where revocation state is stored, how you prevent replay and forgery, and performance implications for auth throughput. Include caching and scaling strategies for revocation checks.
MediumTechnical
0 practiced
A regulated financial customer asks you to choose between cloud-managed KMS and an on-prem HSM. For high throughput cryptographic operations (millions/day) with attestable custody requirements, explain evaluation criteria covering latency, throughput, compliance standards, availability, and cost. Propose a recommended architecture.
HardTechnical
0 practiced
Your organization has a custom RPC framework that does not propagate trace context. You need to add distributed tracing with minimal performance impact. Design a plan to propagate trace context, choose sampling policies, instrument hot paths, and verify end-to-end traces under high throughput without overwhelming storage.
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