IntermediateBehavioral
Describe a time you had to refactor a legacy backend module that was risky to change. How did you approach it and ensure stability?
Backend Developer
General

Sample Answer

(S) We had a legacy billing module written in a mix of old frameworks and raw SQL, responsible for ~40% of our revenue. It was hard to maintain and had frequent regressions. (T) I was asked to refactor key parts to improve reliability and test coverage without disrupting monthly billing. (A) I started by mapping critical flows and adding monitoring around them (error rates, processing times, and volume metrics). Then I introduced characterization tests around existing behavior, using real anonymized production data, which increased test coverage from ~8% to ~55%. I refactored in small steps: extracting pure functions, centralizing SQL queries into a repository layer, and adding feature flags to switch between old and new paths. Each change was deployed behind a flag and validated with canary releases, comparing metrics like failure rate and processing time. (R) Over three months, we reduced billing-related incidents by ~70%, improved average job processing time by ~30%, and cut hotfixes by half. The module became much easier to extend for new pricing plans.

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