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Native Android development

Thiruvananthapuram, Kerala, India

Experience
9–15 years
Employment
Full-time
Work mode
Onsite
Salary
₹10 L–22 L / year
Deadline
Apply by 1 Nov 2026
Posted
2026-07-02

Required skills

SkillExperienceLevel
Android9+ yearsExpert
REST6+ yearsAdvanced
Kotlin5+ yearsAdvanced
Model View ViewModel (MVVM)9+ yearsAdvanced

About the role

Location - Trivandrum (Kerala)


Key Responsibilities


Native Android development using Kotlin and the Android SDK


Implement new features based on product requirements


Maintain existing applications, including bug fixes and performance optimization


Integrate with backend APIs (REST / GraphQL) and cloud services (AWS-hosted)


Must have: Hands-on expertise with Android Bluetooth LE — BLE queue management, scanning and scan filtering, ciphering, GATT services/characteristics, and hardware communication protocols for smart devices


Implement UI/UX following design specifications and Material Design guidelines


Manage app store submission, builds, and release management


Write unit and UI tests to minimize defects and reproduce intermittent issues


Diagnose and resolve hard-to-reproduce production issues using analytics and crash data


Conduct code reviews and maintain technical documentation


Collaborate closely with the Cloud/Web team on API integration


Required Skills & Experience


Core Android & Language


Expert-level native Android development (Kotlin, Android SDK)


Strong command of both Jetpack Compose and the XML/View system, with sound judgment on when to use each; Material Design


Concurrency: Coroutines and Flow (StateFlow / SharedFlow), structured concurrency; thread-safety and race-condition handling; approaches when coroutines are not available


Architecture & Design


MVVM and Clean Architecture in depth; MVC vs MVVM trade-offs; Use Cases / domain layer and how to unit-test it


Dependency Injection (Hilt / Dagger); designing reusable UI and common features shared across the project


Background Work & Performance


Long-running and background operations: WorkManager, foreground/background services, Doze and app-standby behaviour; surviving process death mid-operation


Efficient large-list rendering (RecyclerView, ListAdapter, Paging), including poor-network scenarios; diagnosing image-recycling / mismatch issues


Reliable bulk database writes (e.g., large dataset inserts); caching strategies, eviction policies and TTL


APIs, Networking & Security


RESTful and GraphQL integration (incl. GraphQL configuration and schema-change handling); awareness of SOAP trade-offs


Where and how to configure timeouts; optimizing multiple / parallel API calls; response caching


Token-based auth: JWT (payload/claims), refresh tokens and expiry handling, SSO, Cognito or similar


Certificate / SSL pinning; secure credential storage


Data & Persistence


Room (Entity / DAO / Database) and other persistence mechanisms; secure storage of sensitive data


Handling data migration and integrity issues across app updates


BLE / Connected-Device Communication (core to the role)


Hands-on Android BLE: full flow (scanning → connection → service discovery → communication → disconnection)


BLE operation queue management and prioritization (incl. reprioritizing or discarding queued operations); scan filtering by Service UUID, device name and manufacturer data; GATT/ATT, services and characteristics


MTU handling (max size, dynamic negotiation) and packet-size limits; Notify vs Indicate; response parsing; acknowledgements and reliable byte-level transfer; exponential retry and reconnection (incl. why to wait before reconnecting)


Ciphering and encrypted device communication; OTA firmware-update considerations; awareness of vendor/OS differences (e.g., Pixel vs Samsung, Android vs iOS, Android 12 Bluetooth changes) and location-permission requirements (FINE vs COARSE)


Notifications, Analytics & Observability


Push notifications (FCM): data vs notification messages, triggering, reliability trade-offs and use cases; payload structure / parsing and resilience to backend payload changes


Firebase Analytics (custom events, event tracking) and Crashlytics; which crash types go unreported and why; analytics- and log-driven debugging of elusive production issues


Memory-leak detection (LeakCanary), including integration with CI/CD


Quality, Tooling & Delivery


CI/CD pipelines for mobile (Fastlane, Gradle); modules across multiple repositories and multiple build types / flavors


App distribution: Firebase App Distribution, Google Play Store


Build / dependency tooling: Gradle, Android Studio, Maven


Testing: JUnit, Espresso, Kaspresso; a clear view of meaningful coverage and which layers to test


Localization implementation and management (incl. tooling such as Phrase); awareness of Android/iOS localization differences


Preferred / Nice to Have


Experience with IoT / connected-device companion apps (strongly preferred)


Experience with OTA firmware update flows


A/B testing: implementation and rollout


Google Maps integration; Fragments-based navigation


Practical use of AI-assisted development tools in day-to-day workflow


Good to have: B1 visa


Technical Screening Focus Areas


Candidates should be prepared to go deep, with real implementation detail rather than theory, on the following:


Project walkthroughs — architecture decisions, individual contributions, and real production challenges and how they were resolved


BLE end-to-end — flow, GATT and characteristics, MTU and packet size, Notify vs Indicate, reliable transfer and acknowledgements, queue prioritization, retry and reconnection, max simultaneous device connections


Concurrency & background work — coroutines / Flow, thread-safety, race conditions, WorkManager, Doze, long-running operations that survive process death


Architecture — MVC vs MVVM, Clean, Use Cases (and how to test them), Dependency Injection, reusability


Performance — large-list efficiency, RecyclerView / ListAdapter, image recycling, bulk DB inserts, caching / eviction / TTL


Networking & security — REST/GraphQL (config and schema changes, optimization), JWT and refresh tokens, SSL pinning, timeouts


Persistence — Room, secure storage, data migration across app updates


Supporting areas — FCM payloads and reliability, Crashlytics gaps, analytics-led debugging, code-review focus, localiz

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