Full stack Engineer

Overview We’re looking for a Full Stack Developer skilled in building scalable web applications using React / Next.js on the frontend

and Python frameworks (Django and FastAPI) on the backend. You’ll work closely with product, design, and DevOps teams

to deliver reliable, high-performing applications hosted on AWS, backed by PostgreSQL and Snowflake. We value

developers who leverage modern AI-assisted development tools such as Cursor and Claude Code to accelerate delivery

and maintain code quality.

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).