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Full Stack Developer- Immediate Joiners 3+ Years

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Onsite

Full Stack Developer- Immediate Joiners 3+ Years

Phigital Care

Full Stack Developer- Immediate Joiners 3+ Years

Skills

SQL QueriesNextDockerReactTypescriptDjangoPythonMicroservicesTailwind CSSPostgreSQLAmazon EC2AWS LambdaRedisSnowflakeGitGraphQLMachine LearningAIAWSdbtGitHubFastAPIApache AirflowTerraform

3 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Key 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).

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