Project Deep-Dive (Onsite Behavioral + Technical)

Context: Choose a recent technical project (ideally within the last 12–18 months) where you led or had outsized impact. Be ready to cover both engineering depth and leadership/decision-making.

Your walkthrough should include:

1. Problem and goals
   • What problem were you solving and why did it matter?
   • Success criteria and constraints (functional, non-functional, organizational, legal/privacy).
2. Architecture overview
   • Main components and data flow (describe the diagram verbally).
   • Key design decisions and trade-offs, including alternatives considered and why you chose your approach.
3. Data model
   • Core entities, schemas, and relationships.
   • Storage and access patterns (read/write, indexing, partitioning).
4. Interfaces and contracts
   • Public APIs (REST/gRPC) and event contracts (schemas, versioning, idempotency).
   • Backward/forward compatibility considerations.
5. Scaling and reliability
   • Throughput, latency, capacity planning, sharding/partitioning, caches.
   • Fault tolerance, backpressure, circuit breakers, timeouts/retries.
6. Testing and validation
   • Unit/integration/contract/load/chaos testing.
   • Data/ML validation (if applicable): offline metrics, calibration, shadowing.
7. Rollout plan
   • Migrations, canary/feature flags/shadow traffic, rollback strategy.
8. Measuring success
   • KPIs, experiment design, guardrail metrics, and observability.
9. Toughest technical challenge
   • How you investigated/debugged it, the root cause, and the fix.
10. V2 improvements

• What you would change if you were to build it again and why.