What problem does it solve? Preparing for a Netflix Senior/Staff data-engineering system-design round requires realistic practice against Netflix's actual tech stack (Iceberg, Flink, Maestro, Keystone, Psyberg, Cassandra), which generic mock interviews cannot provide. ## Core Features & Use Cases - Live 60-minute role-play: Four interviewer personas run batch, streaming, mixed, or ads-domain design rounds with deep-cut probes on Netflix systems. - Strict scoring rubric: Per-phase micro-feedback plus a coach-mode debrief scored across seven evaluation axes calibrated to the Netflix Senior/Staff bar. - Worked-example fallback: When concept gaps surface twice or the candidate asks for the answer, the session pivots to producing a structured study artifact persisted to the interviews log. - Use Case: A candidate says "mock system design, streaming mode" and runs a full Flink/Kafka/Keystone design round, receiving phase-level feedback and a final scored debrief with a Netflix-tech literacy audit. ## Quick Start Ask the assistant to start a mock Netflix system-design interview in batch mode using this skill.