Qureos

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React Native Developer

JOB_REQUIREMENTS

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Salary

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Experience required: 3 to 5 years

Core Skills We Expect (Deep)

React Native fundamentals

You should be strong at:

  • React rendering model: reconciliation, render triggers, how props/state changes cascade
  • memoization correctly: useMemo, useCallback, React.memo (and knowing when not to use them)
  • state architecture: when to use local state vs global store vs server cache
  • navigation performance: screen mounts/unmounts, preloading, transitions
  • lists: real-world high-performance lists (FlashList/FlatList optimizations, stable keys, item layout hints)

Signals we look for

  • You can open the RN profiler and tell why a list is dropping frames.
  • You have opinions on derived state, stale closures, and effects firing too often.

Performance engineering

You should know:

  • JS thread vs UI thread bottlenecks
  • avoiding heavy work on JS thread (parsing, map/filter in render, expensive JSON transforms, image computations)
  • frame drops / jank debugging approach (profiling, logs, flamegraphs if needed)
  • memory leaks patterns:
  • un-cleared intervals/timeouts
  • listeners not removed
  • retaining large arrays in closures
  • image/video memory pressure
  • startup time: minimizing bundle work, lazy loading, deferring non-critical tasks

Signals we look for

  • You can explain what causes stutters while scrolling in RN.
  • You can reduce memory spikes and explain the root cause (not just random tweaks).

Video playback expertise

You should be comfortable with:

  • HLS/DASH basics: manifests, segmenting, adaptive bitrate (ABR), buffering logic
  • player states and edge cases:
  • app background/foreground
  • interruptions (calls, Bluetooth device changes)
  • network switching (WiFi LTE)
  • retry strategy + fallback
  • watch-time correctness:
  • what counts as a view
  • tracking play/pause/buffer/end accurately
  • preventing duplicate events
  • subtitles and audio tracks:
  • multiple subtitle languages
  • caption rendering
  • selecting audio/subtitle tracks where supported
  • reducing playback issues:
  • stalled playback handling
  • buffer configuration tuning
  • preloading next video
  • seamless transitions between feed items

Signals we look for

  • You've debugged ExoPlayer/AVPlayer logs or you're willing to learn fast.
  • You can implement TikTok-like feed playback without weird bugs.

Networking + caching + reliability

You should know:

  • request retry patterns, idempotency, exponential backoff
  • caching strategies:
  • memory cache vs disk cache
  • stale-while-revalidate style UI patterns
  • handling slow network gracefully:
  • optimistic UI where correct
  • failure recovery
  • preventing duplicated API calls
  • deep understanding of request lifecycles (cancellation, aborting on unmount, preventing race conditions)

Signals we look for

  • You can explain why API called twice happens and fix it properly.
  • You don't build loading spinner everywhere apps you build resilient flows.

Analytics instrumentation

You should be strong at:

  • defining events with clear schemas (properties, types, naming conventions)
  • ensuring event correctness:
  • deduping
  • ordering issues
  • offline queueing
  • retries without double counting
  • building analytics you can trust:
  • playback events: start, quartiles, completion, total watch time
  • paywall events: view, click, purchase success/fail, restore flows
  • ability to debug analytics:
  • compare client logs vs backend ingestion
  • verify attribution/deeplink flows don't break event identity

Signals we look for

  • You've worked with PostHog/Mixpanel/Amplitude/Mux/GA and understand real-world pitfalls.
  • You can set up a clean debugging method for event validation.

Release engineering + build depth (Android + iOS)

You should be comfortable with:

  • Android:
  • Gradle, flavors/build types, signing, proguard/r8
  • debugging crashes from Play Console
  • understanding ANR basics and fixes
  • iOS:
  • Xcode build settings, signing/provisioning
  • debugging from device logs / crash reports
  • CI/CD and release flow:
  • EAS / Fastlane (either is fine)
  • staged rollouts, hotfix releases, rollback mindset

Signals we look for

  • You've handled at least one ugly production incident and shipped a clean fix quickly.

Code quality + architecture

We expect:

  • clean modular code (no giant screen files)
  • reusable components and consistent patterns
  • ability to write maintainable logic for:
  • paywalls
  • feature flags
  • experiments / A/B tests
  • remote config
  • good PR hygiene:
  • small PRs
  • clear descriptions
  • good testing mindset

Signals we look for

  • You can refactor legacy without breaking releases.
  • You can explain tradeoffs, not just preferences.

Nice-to-have (Strong Plus)

  • Native modules (TurboModules / NitroModules / bridging) or even basic native debugging
  • DRM/offline downloads experience (even partial)
  • Video CDN awareness (cache behavior, startup latency, ABR tuning effects)
  • Familiarity with crash reporting: Sentry/Firebase Crashlytics
  • Familiarity with feature flagging/remote config systems

What we'll actually test in interviews (so you know we're serious)

  • A small performance debugging scenario (list jank / re-render issue)
  • A video feed edge case question (backgrounding, network switch, stalled playback)
  • Architecture choices for analytics + avoiding duplicates
  • Real world production debugging story from your past

What you'll own

  • A major part of the app experience: feed + video performance
  • Analytics correctness for key funnels
  • Quality of releases and stability improvements
  • Building premium feel into everything

Job Type: Full-time

Pay: ₹3,500,000.00 - ₹4,000,000.00 per year

Work Location: In person

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