Why pre-screen Android developers before the technical interview
This platform is unforgiving in specific ways. A leaked context survives a rotation, background work gets killed on one manufacturer and not another, and a layout that is smooth on a flagship stutters on the device most of your users actually own. Developers worth hiring have shipped through that and watched the crash rate. A short screen asks about an app they shipped and its numbers.
What actually matters when screening Android Developer candidates
- 01
Technical proficiency
Check depth in Kotlin coroutines, Jetpack Compose versus XML views, lifecycle handling, Room, Hilt or Dagger, and Gradle build variants; ask what they debugged with Android Studio Profiler.
- 02
Systems and trade-offs
Probe architecture choices: MVVM or MVI, offline-first sync, WorkManager scheduling, minSdk trade-offs, and how they cut APK size, cold start time, or battery drain.
- 03
Evidence and rigour
Assess how they verify releases: Espresso and JUnit coverage, Firebase Crashlytics triage, ANR rates, staged Play Console rollouts, and evidence behind a rollback decision.
- 04
Collaboration and communication
Look for how they work with iOS peers, backend teams on API contracts, and designers on Material 3 specs; ask about a code review disagreement they resolved.
Pre-screening questions to ask Android Developer candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Apps they shipped
3 questions01Have you worked on an app that is live on the store?
Listen forA named published app with install numbers and crash-free rate, and their role in maintaining it.
Only unreleased or tutorial projects, or apps they cannot name or point to.
02What is your experience with Android development?
Listen forYears of real work with the app types described, and the version range they have supported.
Experience described without any shipped product, or platform versions never a consideration.
03Can you describe a project where you used Kotlin or Java for Android?
Listen forFluency in the language with idiomatic use described, including coroutines or equivalent concurrency.
Language use limited to following samples, or concurrency handled by copying patterns.
Platform depth
4 questions04Can you describe your experience with the Android framework?
Listen forComponent lifecycle understood properly, with configuration changes and process death both handled correctly.
Lifecycle problems worked around with flags, or process death never considered.
05Do you have experience with the Jetpack libraries?
Listen forComponents used where they fit, with an understanding of what each one actually solves.
Libraries adopted wholesale without need, or component behaviour not understood.
06Can you describe your experience with concurrency in Android?
Listen forBackground work kept off the main thread with cancellation handled when a screen goes away.
Work leaking beyond a screen's lifetime, or cancellation never handled on navigation.
07What is your experience with Android interface and interaction standards?
Listen forPlatform conventions followed, with layouts tested across screen sizes and text scaling.
Designs ported directly from another platform, or accessibility text scaling breaking layouts.
Profiles properly
3 questions08How do you find and fix memory leaks in an Android app?
Listen forProfiling tools used with a specific retained reference found, and the fix verified afterwards.
Leaks avoided by intention rather than measurement, or no leak they have actually diagnosed.
09Have you optimised an app's performance or memory use?
Listen forStartup time or frame drops measured on a low-end device, with a specific change and its effect.
Performance judged on a flagship device only, or improvements never measured.
10What is your experience working with web APIs from a mobile app?
Listen forErrors, retries and offline behaviour all handled, with responses cached where it makes sense.
Network calls assuming connectivity, or failures surfaced to users as raw errors.
Ships reliably
2 questions11Do you have experience with automated testing in Android?
Listen forUnit and interface tests written where they earn their cost, run automatically before release.
Testing done manually before each release, or coverage targets treated as the goal.
12Do you have experience with automated build and release pipelines?
Listen forBuilds and store releases automated, with staged rollout and crash monitoring after each release.
Releases built manually from a laptop, or full rollout without watching crash rates.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical proficiency
35%5Names concrete APIs and libraries, explains coroutine scoping and recomposition pitfalls, and shows fluency with Gradle modules and dependency injection.
Systems and trade-offs
25%5Justifies architecture against real constraints like fragmentation, background limits, and memory, citing measured before and after numbers.
Evidence and rigour
25%5Quotes crash-free session rates, ANR thresholds, and uses instrumentation plus phased rollout data before declaring a build healthy.
Collaboration and communication
15%5Describes negotiating API payloads and design fidelity concretely, gives reviewable feedback, and documents decisions the rest of the team can follow.
A layout that is smooth on a flagship stutters on the device most users own. A one-way video screen asks about that.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish apps they shipped, test their platform depth, and check performance and release practice.
Should this replace a coding exercise?
No, it decides who receives one. The screen filters out candidates whose experience is tutorial projects, so the exercise goes to people who have maintained an app in the store.
Evaluating answers
What is the strongest signal when screening this role?
A shipped app with its crash-free rate. Developers who maintain apps know that number and what caused the last regression. Anyone who has only built has never had to keep one healthy.
How do I judge their performance work?
Ask how they found a memory leak. Real answers involve profiling tools and a specific retained reference. Anyone who says they avoid leaks by being careful has not looked for one.
























