Staff Software Engineer (React / React Native / Node)

CardoneVentures.AI

5 years

0 Lacs

mumbai metropolitan region

Posted:2 days ago| Platform:

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Skills Required

software react engineering azure mobile support ai code development architecture next.js design strategies logic data sql node.js concurrency typescript postgresql tooling github workflow database indexing joins writing documentation testing refactoring

Work Mode

Remote

Job Type

Contractual

Job Description

Staff Software Engineer (React / React Native / Node)

Location:

Schedule:

Compensation:

The Opportunity

Web (React)

The "AI-Native" Requirement

2–3x the velocity

Key Responsibilities

Universal Frontend Architecture:
You will own the architecture for both our Web (React/Next.js) and Mobile (React Native) platforms. You will design strategies to share logic/hooks between web and mobile to maximize efficiency.
Backend & Data Design:
You will own the data layer. You will design normalized Postgres schemas, optimize complex SQL queries, and ensure our Node.js APIs are type-safe and performant.
System Design:
You will architect Azure Serverless functions to handle high concurrency. You understand how to build resilient systems without reliance on containers/Docker.
Code Review & Standards:
You will review the most critical PRs. You will ensure that while we move fast with AI, we never ship hallucinations or bad patterns.

The Stack

Frontend:
React, Next.js, React Native (Expo), TypeScript, Tailwind.
Backend:
Node.js, PostgreSQL, Azure Functions (Serverless).
Tooling:
GitHub Actions, AI-First Workflow (Cursor/Claude Code/Copilot).

Must-Have Qualifications

Staff Level Experience:
5+ years building production systems. You have been the "Go-To" technical person on previous teams.
React & React Native Fluency:
You have shipped complex apps on both web and mobile. You understand the nuances of the React Native bridge, identifying performance bottlenecks on mobile vs. web.
Database Mastery:
Strong proficiency in PostgreSQL (Indexing, JSONB, complex joins). You are comfortable writing raw SQL when ORMs fall short.
AI-Augmented Workflow:
You can demonstrate how you use LLMs to speed up documentation, unit testing, and complex refactoring. You view AI as an exoskeleton, not a crutch.

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