Full Stack Developer- Immediate Joiners 3+ Years

Phigital Care; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Phigital Care in Bengaluru is seeking a skilled full‑stack developer to design, build, and maintain modern web applications using React/Next.js on the frontend and Django or FastAPI on the backend.

You will craft secure APIs, manage PostgreSQL and Snowflake data models, implement robust authentication, and deploy via AWS with CI/CD in a cloud‑native environment. Experience with AI tooling like Cursor and Claude Code is a plus.

Qualifications

• 2+ years of hands-on full-stack development experience with React and Python‑based backend frameworks.
• Experience using AI‑assisted development tools (Cursor, Claude Code, or similar) in production workflows.
• Strong understanding of API‑driven architectures, microservices patterns, and cloud‑native environments.
• Excellent problem‑solving, debugging, and cross‑team collaboration skills.
• Familiarity with version control best practices (Git, branching strategies, code reviews).

Responsibilities

• Design, develop, and maintain full-stack web applications using React/Next.js on the frontend and Django or FastAPI on the backend.
• Build secure, scalable RESTful and async APIs; integrate with third‑party services as needed.
• Manage PostgreSQL databases with efficient schema design, migrations, and optimized queries.
• Work with Snowflake for data warehousing needs – build and maintain data models, write performant queries, and integrate warehouse data into application layers.
• Translate UI/UX wireframes into responsive, accessible frontend components.
• Implement authentication, authorization, and session management (JWT, OAuth2).
• Set up and manage AWS infrastructure for deployments, CI/CD pipelines, and horizontal scalability.
• Leverage AI-assisted development tools to accelerate coding workflows, generate boilerplate, write tests, and improve code reviews.
• Write clean, maintainable, and well‑documented code with comprehensive test coverage.
• Troubleshoot, debug, and optimize performance across the entire stack.

Skills

React

Next.js

TypeScript

Tailwind CSS

Redux

Context API

Zustand

Python

Django

FastAPI

REST API

WebSocket

JWT/OAuth2

AWS

Docker

CI/CD

Snowflake

PostgreSQL

ORM

Redis

AI tools

Cursor/Claude Code

Education

Bachelor's degree in CS or Engineering

Equivalent practical experience

Tools

Git

SQLAlchemy

Django REST Framework

dbt

Airflow

Terraform

Job description

Responsibilities

• Design, develop, and maintain full-stack web applications using React / Next.js on the frontend and Django or FastAPI on the backend.
• Build secure, scalable RESTful and async APIs; integrate with third‑party services as needed.
• Manage PostgreSQL databases with efficient schema design, migrations, and optimized queries.
• Work with Snowflake for data warehousing needs – build and maintain data models, write performant queries, and integrate warehouse data into application layers.
• Translate UI/UX wireframes into responsive, accessible, high‑quality frontend components.
• Implement authentication, authorization, and session management (JWT, OAuth2).
• Set up and manage AWS infrastructure for deployments, CI/CD pipelines, and horizontal scalability.
• Leverage AI-assisted development tools (Cursor, Claude Code) to accelerate coding workflows, generate boilerplate, write tests, and improve code reviews.
• Write clean, maintainable, and well‑documented code with comprehensive test coverage.
• Troubleshoot, debug, and optimize performance across the entire stack.

Technical Skills

Frontend

• React.js, Next.js, TypeScript, Tailwind CSS
• State management (Redux, Context API, Zustand)
• Responsive and accessible UI design principles
• Component‑driven architecture and design systems

Backend

• Python (Django / Django REST Framework / FastAPI)
• REST and async API design; WebSocket support
• Authentication and authorization (JWT, OAuth2, session‑based)
• ORM and data modeling (Django ORM, SQLAlchemy, Tortoise ORM)
• Task queues and background processing (Celery, Redis)

Database & Data Warehousing

• PostgreSQL – schema design, migrations, indexing, and performance tuning
• Snowflake – data warehousing, writing optimized SQL queries, managing schemas, stages, and pipes for data ingestion
• Experience connecting application backends to Snowflake using Python connectors (snowflake‑connector‑python, SQLAlchemy with Snowflake dialect)
• Experience with Redis or other caching layers

Cloud & DevOps

• AWS (EC2, S3, RDS, Lambda, CloudFront, API Gateway)
• Docker and container‑based deployment
• CI/CD with GitHub Actions / AWS CodePipeline
• Basic server and infrastructure management

AI‑Assisted Development

• Hands‑on experience with Cursor IDE for AI‑powered code editing, multi‑file refactoring, and inline code generation
• Proficiency in Claude Code (CLI) for agentic coding tasks – scaffolding projects, writing tests, debugging, and automating repetitive workflows
• Ability to write effective prompts and system instructions to get high‑quality outputs from AI coding assistants
• Familiarity with integrating AI tools into CI/CD pipelines (e.g., automated code review, PR summarization)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 2+ years of hands‑on full‑stack development experience with React and Python‑based backend frameworks.
• Demonstrated experience using AI‑assisted development tools (Cursor, Claude Code, or similar) in production workflows.
• Strong understanding of API‑driven architectures, microservices patterns, and cloud‑native environments.
• Excellent problem‑solving, debugging, and cross‑team collaboration skills.
• Familiarity with version control best practices (Git, branching strategies, code reviews).

Nice to Have

• Experience with GraphQL or gRPC.
• Knowledge of serverless architectures (AWS Lambda, Step Functions).
• Contributions to open‑source projects.
• Experience building or consuming AI/ML APIs and LLM‑powered features.
• Familiarity with infrastructure‑as‑code tools (Terraform, CDK).
• Experience with Snowflake performance tuning, materialized views, and data pipeline orchestration (dbt, Airflow).