The Senior Signal Interview Questions
BEHAVIORAL › Soft Skills
Walk me through how you'd decide whether a growing app actually needs to be split into multiple Gradle modules, versus staying single-module a while longer.
What a strong answer covers: A strong answer ties the decision to pain already being felt, slow incremental builds, unclear ownership causing merge conflicts, or a genuine need for isolated feature delivery, rather than modularizing preemptively because it's considered best practice. It should note that premature modularization has real costs, more boilerplate, harder navigation, slower initial setup, that aren't justified until team size or build time crosses an actual threshold. The trap is treating modularization as an unconditional good instead of a trade-off with a break-even point.
You inherit a team that ships fast but has no staged rollouts, no feature flags, and minimal crash monitoring. Where do you start, and how do you get buy-in without just mandating process?
What a strong answer covers: A strong answer sequences the highest-leverage, lowest-friction change first, usually crash monitoring since you can't improve what you can't see, then staged rollouts since they're nearly free once monitoring exists, and only then feature flags for genuinely risky work. It should describe getting buy-in by tying each addition to a concrete incident the team already felt rather than presenting it as process for its own sake. The trap is proposing all the maturity practices at once, which reads as dogma rather than sequencing judgment.
Two senior engineers on your team disagree about whether a risky architecture change, like adopting a new DI framework or restructuring navigation, is worth doing right now. How do you resolve that, and what do you do if you're the one who's wrong?
What a strong answer covers: A strong answer names the actual constraints, timeline, team bandwidth, blast radius, reversibility, and proposes a small reversible experiment with an explicit re-evaluation point and named signals to check the decision against, rather than a big-bang commitment. On being wrong, they describe genuinely changing course when evidence contradicts their position and communicating the reversal to the team as a normal part of engineering. The trap is a candidate who describes winning the disagreement rather than describing a mechanism for finding out who was actually right.