Fullstack Developer (MERN Stack)

Carrerlift; Ahmedabad District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Carrerlift is seeking a skilled MERN stack developer to build and maintain web applications, focusing on both client-side interfaces and server-side systems.

You will work with Node.js, React, MongoDB, and MySQL, implement RESTful APIs, optimize performance, and collaborate through code reviews. The role offers growth in a fast-paced team in Ahmedabad.

Qualifications

• Strong foundation in backend development principles and core programming concepts that you can articulate clearly.
• Hands‑on experience with Node.js and practical knowledge of the AdonisJS framework.
• Proficiency in React.js for building dynamic user interfaces.
• Solid grasp of MySQL and MongoDB, with the ability to choose the right database for each use case.
• Comfort with Git and standard development practices in collaborative environments.
• Demonstrated problem‑solving ability and logical thinking when facing technical challenges.
• Capability to pick up new technologies and frameworks independently with minimal guidance.
• Use of AI as a tool to boost productivity, not as a replacement for technical depth.

Responsibilities

• Implementing RESTful APIs and managing authentication flows for secure user interactions.
• Building database layers that balance performance and data integrity across relational and document stores.
• Writing clean, maintainable code that other developers can easily understand and extend.
• Debugging complex issues across the full stack and optimizing application performance.
• Collaborating with team members through code reviews and version control workflows.

Skills

Backend development principles

Problem-solving ability

Ability to pick up new technologies

Communication skills

Tools

Node.js

AdonisJS

React.js

MySQL

MongoDB

Git

AWS (S3, Lambda, EC2)

jQuery

Apache

Vector databases / RAG pipelines

Job description

Batch: 2023/2024/2025.

About the role:

• Build and maintain web applications using the MERN stack, managing both client-side interfaces and server-side systems
• Develop robust backend services with Node.js, handling APIs, authentication mechanisms, and business logic
• Create responsive, interactive frontends using React.js, HTML, CSS, and JavaScript
• Work with multiple database systems including MongoDB and MySQL to design schemas and optimize queries
• Integrate with web servers and deploy applications to production environments
• Leverage AI tools to enhance your development workflow while maintaining deep understanding of your codebase

What you'll work on:

• Implementing RESTful APIs and managing authentication flows for secure user interactions
• Building database layers that balance performance and data integrity across relational and document stores
• Writing clean, maintainable code that other developers can easily understand and extend
• Debugging complex issues across the full stack and optimizing application performance
• Collaborating with team members through code reviews and version control workflows

What we're looking for:

• Strong foundation in backend development principles and core programming concepts that you can articulate clearly
• Hands‑on experience with Node.js and practical knowledge of the AdonisJS framework
• Proficiency in React.js for building dynamic user interfaces
• Solid grasp of MySQL and MongoDB, with the ability to choose the right database for each use case
• Comfort with Git and standard development practices in collaborative environments
• Demonstrated problem‑solving ability and logical thinking when facing technical challenges
• Capability to pick up new technologies and frameworks independently with minimal guidance
• Use of AI as a tool to boost productivity, not as a replacement for technical depth

Additional qualifications:

• Experience with Agentic AI systems and their integration into applications
• Familiarity with jQuery for DOM manipulation and event handling
• Knowledge of Apache or other web server configuration
• AWS exposure including S3, Lambda, and EC2
• Experience with vector databases or RAG pipeline architectures
• Outstanding written and verbal communication abilities
• Meticulous attention to detail in code quality and documentation