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).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.