Full-Stack Developer

RSG Research India Pvt Ltd; Hyderabad; Presencial; INR 1.200.000 - 2.000.000; Jornada completa

Descripción de la vacante

RSG Research India Pvt Ltd is seeking a versatile full-stack developer to own frontend and backend components, bridging React-based UI with Python FastAPI services. You will setup local development environments, optimize APIs, manage SQL schemas, and leverage AI tools to accelerate coding while ensuring quality and security.

The role emphasizes robust testing, deployment readiness, and thorough documentation.

Formación

• Good programming knowledge in Python.
• Practical understanding of React and JavaScript.
• Understanding of HTML, CSS, and frontend development fundamentals.
• Experience or project exposure to FastAPI or another Python backend framework.
• Understanding of REST APIs and frontend-backend integration.
• Basic SQL and relational database knowledge.
• Familiarity with Git and version control.
• Ability to read, understand, and debug existing code.
• Strong problem-solving and analytical skills.
• Willingness to use AI coding tools and validate their outputs.
• TypeScript (optional).
• PostgreSQL and SQLAlchemy (optional).
• Docker and containerization (optional).
• AWS or other cloud platforms (optional).
• CI/CD pipelines (optional).
• Automated testing using Pytest (optional).
• Integration with LLM APIs or AI features (optional).
• Familiarity with RAG or vector databases (optional).

Responsabilidades

• Understand the existing application architecture, codebase, and business logic.
• Set up and run the frontend, backend, and database in a local development environment.
• Understand the interaction between React components, FastAPI endpoints, and database operations.
• Identify bugs, incomplete functionality, technical debt, and areas for improvement.
• Maintain existing functionality while implementing new requirements.
• Develop and maintain user interfaces using React and JavaScript or TypeScript.
• Work with React components, hooks, props, state, and routing.
• Integrate frontend components with backend REST APIs.
• Implement forms, tables, search, filtering, validation, and other UI features.
• Debug frontend issues using browser developer tools.
• Ensure responsive layouts and a consistent user experience.
• Develop, maintain, and debug backend services using Python and FastAPI.
• Create and modify REST API endpoints.
• Implement request validation, response models, and exception handling.
• Understand existing business logic and modify it without breaking dependent functionality.
• Implement authentication and authorization as required.
• Write modular, maintainable, and reusable code.
• Investigate API failures, performance issues, and integration problems.
• Write SQL queries and understand database schemas and relationships.
• Integrate backend services with databases such as PostgreSQL or MySQL.
• Understand existing ORM implementations, such as SQLAlchemy, where applicable.
• Debug data inconsistencies and database-related errors.
• Support database schema changes and migrations.
• Write queries that are reliable and reasonably efficient.
• Use AI coding assistants to understand unfamiliar codebases and accelerate development.
• Generate, review, and improve code using AI tools.
• Use AI to troubleshoot errors, write tests, and document existing functionality.
• Verify AI-generated code for correctness, security, and maintainability.
• Identify hallucinations, incorrect assumptions, and potentially unsafe code.
• Explain the implementation and reasoning behind code generated with AI assistance.
• Write unit tests and API tests.
• Debug existing functionality and resolve reported defects.
• Perform regression testing after code changes.
• Validate API requests, responses, and error scenarios.
• Ensure new changes do not adversely affect existing functionality.
• Participate in code reviews and follow engineering best practices.
• Use Git and GitHub or equivalent version control systems.
• Understand environment variables, dependency management, and application configuration.
• Support application deployment and troubleshooting.
• Work with Docker and cloud environments where applicable.
• Review application logs and investigate runtime errors.
• Maintain technical documentation and setup instructions.

Conocimientos

Python

React

HTML/CSS

FastAPI

REST APIs

SQL

Git

Debugging

AI coding tools

Problem solving

Herramientas

Docker

PostgreSQL

SQLAlchemy

AWS

Pytest

Descripción del empleo

Key Responsibilities

A. Existing Application Handover

• Understand the existing application architecture, codebase, and business logic.
• Set up and run the frontend, backend, and database in a local development environment.
• Understand the interaction between React components, FastAPI endpoints, and database operations.
• Identify bugs, incomplete functionality, technical debt, and areas for improvement.
• Maintain existing functionality while implementing new requirements.

B. Frontend Development React

• Develop and maintain user interfaces using React and JavaScript or TypeScript.
• Work with React components, hooks, props, state, and routing.
• Integrate frontend components with backend REST APIs.
• Implement forms, tables, search, filtering, validation, and other UI features.
• Debug frontend issues using browser developer tools.
• Ensure responsive layouts and a consistent user experience.

C. Backend Development – Python & FastAPI

• Develop, maintain, and debug backend services using Python and FastAPI.
• Create and modify REST API endpoints.
• Implement request validation, response models, and exception handling.
• Understand existing business logic and modify it without breaking dependent functionality.
• Implement authentication and authorization as required.
• Write modular, maintainable, and reusable code.
• Investigate API failures, performance issues, and integration problems.

D. Database Management

• Write SQL queries and understand database schemas and relationships.
• Integrate backend services with databases such as PostgreSQL or MySQL.
• Understand existing ORM implementations, such as SQLAlchemy, where applicable.
• Debug data inconsistencies and database-related errors.
• Support database schema changes and migrations.
• Write queries that are reliable and reasonably efficient.

E. AI-Assisted Development

• Use AI coding assistants to understand unfamiliar codebases and accelerate development.
• Generate, review, and improve code using AI tools.
• Use AI to troubleshoot errors, write tests, and document existing functionality.
• Verify AI-generated code for correctness, security, and maintainability.
• Identify hallucinations, incorrect assumptions, and potentially unsafe code.
• Explain the implementation and reasoning behind code generated with AI assistance.

F. Testing & Quality Assurance

• Write unit tests and API tests.
• Debug existing functionality and resolve reported defects.
• Perform regression testing after code changes.
• Validate API requests, responses, and error scenarios.
• Ensure new changes do not adversely affect existing functionality.
• Participate in code reviews and follow engineering best practices.

G. Deployment & Maintenance

• Use Git and GitHub or equivalent version control systems.
• Understand environment variables, dependency management, and application configuration.
• Support application deployment and troubleshooting.
• Work with Docker and cloud environments where applicable.
• Review application logs and investigate runtime errors.
• Maintain technical documentation and setup instructions.

3. Required Technical Skills

Must-Have Skills

• Good programming knowledge in Python.
• Practical understanding of React and JavaScript.
• Understanding of HTML, CSS, and frontend development fundamentals.
• Experience or project exposure to FastAPI or another Python backend framework.
• Understanding of REST APIs and frontend-backend integration.
• Basic SQL and relational database knowledge.
• Familiarity with Git and version control.
• Ability to read, understand, and debug existing code.
• Strong problem-solving and analytical skills.
• Willingness to use AI coding tools and validate their outputs.

Good-to-Have Skills

• TypeScript.
• PostgreSQL and SQLAlchemy.
• Docker and containerization.
• AWS or other cloud platforms.
• CI/CD pipelines.
• Automated testing using Pytest or equivalent frameworks.
• Integration with LLM APIs or AI-powered application features.
• Familiarity with RAG, vector databases, or AI agents, if relevant to the application.