# Lead a High-Leverage Project in a Regulated Legacy System Prepare a senior-level project deep dive. The project should have meaningful business impact, multiple contributors, and at least one performance, reliability, cost, or legacy-system constraint. If your real project was not regulated, explain how your approach would change for a money-movement system where silent correctness defects and audit visibility matter. ### Clarifying Questions to Ask - How long should the project overview be before the interviewer begins drilling down? - Which dimensions matter most: organizational leverage, architecture, or operational rigor? - Is a hypothetical regulated-system extension acceptable if the original project was in another domain? ### Part 1: Establish leverage and personal ownership Explain the problem, business impact, team shape, what you personally decided or implemented, and what you delegated. #### What This Part Should Cover - A precise boundary between personal and team contributions - Why the project was high leverage - Delegation choices that increased rather than obscured accountability ### Part 2: Defend the architecture Compare the main architectural or technology options. Explain the chosen design in terms of requirements and migration constraints, not popularity. #### What This Part Should Cover - Alternatives and decision criteria - Compatibility and rollout strategy - Reversible decisions versus expensive commitments ### Part 3: Handle performance, reliability, and cost Describe the bottleneck or failure mode you anticipated or observed, the measurements used, and how you balanced latency, reliability, and operating cost. #### What This Part Should Cover - Workload assumptions and failure boundaries - Measurement before and after a change - A trade-off where improving one dimension could harm another ### Part 4: Reduce legacy risk in a regulated context Give a concrete example of addressing technical debt in an old service with inconsistent standards. Then explain the additional controls needed for money movement, including silent correctness failures and regulatory visibility. #### What This Part Should Cover - An incremental plan rather than a rewrite slogan - Data correctness, reconciliation, auditability, and controlled rollout - Domain knowledge you bring and knowledge you would deliberately acquire ### What a Strong Answer Covers - Senior-level prioritization grounded in impact and risk - Honest attribution of work and effective delegation - Architecture, performance, reliability, and cost treated as connected constraints - A concrete legacy modernization path with stronger controls for financial correctness ### Follow-up Questions 1. Which assumption, if false, would invalidate the architecture? 2. What did you decline to fix, and why? 3. How would you detect a transaction that was accepted but never settled? 4. Where could AI improve efficiency without becoming part of the correctness boundary?