Sr. React Native Engineer

We are looking for a skilled React Native Engineer to build and scale real-time, AI-powered mobile experiences. The role involves developing high-performance mobile applications with strong expertise in WebSockets, offline-first architecture, local databases, and scalable real-time communication systems. The ideal candidate will work closely with product, backend, and AI teams to create seamless user experiences, optimize app performance, and build extensible mobile infrastructure for AI-native features. This is an opportunity to work on cutting-edge agentic AI products impacting millions of users in the fintech ecosystem.

Responsibilities:

• Implement the chat interface for our following established architecture patterns and design specs from our UI/UX team.
• Design the real-time communication layer, a transport-agnostic message pipeline that works across WebSocket, HTTP polling, and future push notification channels without UI-layer changes.
• Architect the local data layer's offline-first storage, sync strategies, conflict resolution, and schema migration patterns that scale as Dhruva adds new capabilities.
• Build extensible rendering infrastructure for AI-native features, streaming responses, polymorphic message types, inline actionable widgets (payment CTAs, and score visualizations), and proactive nudge surfaces.
• Handle mobile-specific edge cases: app backgrounding/foregrounding, token refresh, graceful degradation on network loss, and error recovery UX.
• Write well-tested, documented code that the team can maintain and extend as Dhruva's capabilities grow.

Requirements:

• 3+ years of React Native with production apps shipped to both app stores.
• Strong WebSocket integration experience with connection lifecycle, reconnection strategies, and event-driven message handling on mobile.
• Local data persistence using SQLite or WatermelonDB, including schema migrations and offline-first patterns.
• TypeScript proficiency defining strict types from backend API contracts and maintaining type safety across the data layer.
• Performance optimization on Android FlatList tuning, memory profiling, and Hermes engine familiarity.
• State management with Redux or equivalent handling concurrent async state (network, WebSocket, and local DB) without race conditions.
• Experience rendering polymorphic UI components mapping different message types (text, rich cards, suggestions, documents) to distinct components from a single data stream.