Full Stack Engineer Intern (IIT/NIT/IIT)
Job details
Job Summary: We are seeking a highly skilled Full Stack Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining both front-end and back-end components of web applications. You will collaborate with cross-functional teams, ensuring seamless integration of UI/UX elements, databases, and server-side logic to deliver high-performance applications. Key Responsibilities: ✅ Front-End Development:
- Develop responsive and dynamic web pages using HTML, CSS, and JavaScript .
- Utilize modern frameworks like React, Angular, or Vue.js to enhance UI/UX.
- Optimize web applications for maximum speed and scalability .
- Build and maintain server-side logic using Node.js, Python, Java, PHP, or .NET .
- Develop and manage databases using SQL (MySQL, PostgreSQL) or NoSQL (MongoDB, Firebase) .
- Implement RESTful APIs and microservices for seamless data exchange.
- Deploy and manage applications on cloud platforms like AWS, Azure, or Google Cloud .
- Ensure security best practices, authentication, and data protection.
- Work with CI/CD pipelines for automated testing and deployment.
- Work closely with UI/UX designers, product managers, and other developers.
- Write clean, scalable, and well-documented code.
- Participate in code reviews, debugging, and troubleshooting.
- Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience).
- Strong proficiency in JavaScript, Python, Java, or another backend language .
- Experience with frontend frameworks (React, Angular, Vue.js) .
- Knowledge of databases (SQL, NoSQL) and ORM frameworks .
- Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines .
- Strong problem-solving skills and ability to work in agile environments .
- Experience with GraphQL, WebSockets, or Serverless computing .
- Understanding of UI/UX best practices .
- Knowledge of testing frameworks (Jest, Mocha, Cypress) .
- Full-time / Contract
- Remote / Hybrid / On-site
- Competitive, based on experience and location.
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