Most production iOS codebases live between two worlds β UIKit heritage and SwiftUI direction β and the strongest hires are fluent in both plus Swift's concurrency model. These questions test that range along with the App Store operational knowledge that saves launches, with notes on what good answers cover.
What a strong answer covers
Reference counting with strong references keeping objects alive; cycles via closures capturing self and delegate patterns without weak references. Detection through Instruments' leaks and allocations tools or the memory graph debugger. The lived example matters β closure capture in a network callback is the classic confession.
What a strong answer covers
weak for optional relationships that can outlive each other, becoming nil safely; unowned when the reference is guaranteed to exist, crashing if wrong. A senior answer defaults to weak in closures and treats unowned as a documented performance decision, not a habit.
What a strong answer covers
async/await replacing completion-handler pyramids, Task and task groups for parallelism, actors serializing access to mutable state, MainActor for UI. Real-problem stories usually involve race conditions or callback hell eliminated. Sendable-checking pain and data-race safety migration show current experience.
What a strong answer covers
SwiftUI as the default for new surfaces with UIHostingController embedding, UIViewRepresentable in the other direction, and honest limits: complex collection behaviors, fine-grained control, or minimum-OS constraints keeping UIKit in play. Incremental adoption over rewrites is the judgment being tested.
What a strong answer covers
State for local ownership, Binding for shared mutation, observable models for reference-type state, Environment for tree-wide dependencies. Misuse symptoms: view bodies recomputing excessively, state resetting from identity changes, or business logic bleeding into views. The Observable macro reference indicates currency.
What a strong answer covers
Instruments (Time Profiler, Core Animation), checking main-thread work β image decoding, layout thrash, synchronous fetches β cell reuse in lists, offscreen rendering from shadows and corner radii, and hangs detection. Measuring before fixing and on real hardware, not simulator, is the method being graded.
What a strong answer covers
UserDefaults for small preferences, Keychain for secrets, files for blobs, Core Data or SwiftData for structured object graphs, SQLite/GRDB when SQL control matters. Migration handling and background-context threading rules for Core Data are the depth markers.
What a strong answer covers
URLSession with async/await, typed endpoint definitions, decodable models with tolerant parsing, token refresh handled once centrally, retry with backoff for idempotent calls, and errors mapped into user-meaningful states. A testable protocol-bound design rather than singletons everywhere is the senior shape.
What a strong answer covers
A coherent, consistently applied pattern with dependency injection and separation of presentation from business logic; pragmatism about matching architecture to team size. Massive-view-controller war stories with the refactor described are more convincing than acronym citations.
What a strong answer covers
Scene and app lifecycle states, limited background time, BGTaskScheduler for deferred work, background URLSession for transfers, and push-triggered wakes. Bites usually involve tasks killed mid-write or timers that never fire β recovery via checkpointing and idempotent operations is the mature answer.
What a strong answer covers
Automated builds and signing (fastlane or Xcode Cloud), internal then external TestFlight rings, App Review guideline awareness with a rejection story and resolution, phased rollout, and crash-rate plus key-metric monitoring with a halt-and-hotfix plan. Store operations knowledge is expensive to learn live β this question prices it.
What a strong answer covers
XCTest with injected dependencies making view models and services testable without UI, snapshot tests for visual components, and a thin XCUITest layer for critical journeys given its speed and flakiness costs. Testing async code with expectations or async test support is the practical detail.
What a strong answer covers
API availability checks, feature-flagging newer capabilities, dependency minimums, and the real decision cost: SwiftUI and concurrency features gated by OS floor. Candidates who ask about your user base's OS distribution before answering are showing the right instinct.
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Try the interview question generator βFor most existing products, both β the interop question is the practical reality. A greenfield app can lean SwiftUI-first, but UIKit literacy still pays off in the gaps. Pure-UIKit candidates unwilling to adopt SwiftUI are a shrinking fit.
Live App Store links they can walk through, including what they owned. Store history β ratings trajectory, update cadence, a rejection they resolved β verifies operational claims these questions can only probe verbally.
Partially. Flutter and React Native developers can answer architecture and testing questions, but ARC, structured concurrency, and lifecycle questions expose native depth. For an app with heavy platform integration, insist on those being strong.
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