Iqud Tek
Full Stack Intern
Skills
2 months ago
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Important information
Contract type:
Internship
Location:
Gandhinagar, Gujarat, India
Work mode:
Onsite
Published on:
24 August 2026
What they need
Full Stack Intern
Location: GIFT City, Gandhinagar, Gujarat - India. (Work from Office)
Duration: 6 months
About the Role
We are looking for a motivated Full Stack Intern to learn and contribute across modern web stacks while working alongside senior engineers on real client projects.
This internship is ideal for someone eager to build end-to-end features, learn best practices, and grow in a collaborative engineering culture.
Key Responsibilities:
- Build and maintain full-stack applications using MEAN or MERN stacks.
- Develop scalable RESTful APIs and microservices using Node.js, Express, NestJS, or similar frameworks.
- Design and implement responsive frontend interfaces using React.js / Next.js / Angular.
- Lead development of mobile apps using React Native or Flutter based on project needs.
- Deploy, monitor, and manage applications on AWS (EC2, S3, RDS, Lambda, CloudFront, IAM, ECS, etc.).
- Work with databases such as MongoDB, PostgreSQL, MySQL, DynamoDB.
- Integrate third-party APIs, authentication systems, and payment gateways.
- Optimize applications for speed, scalability, performance, and security.
Required Skills
- Strong proficiency in JavaScript, TypeScript, Node.js, and frontend frameworks (React / Angular / Next.js).
- Hands-on expertise in backend architecture, API development, and middleware.
- Strong experience with PostgreSQL and at least one NoSQL database (MongoDB / DynamoDB).
- Good understanding of mobile app development (React Native / Flutter).
- Strong command over AWS deployments, CI/CD pipelines, infrastructure, and cloud best practices.
- Ability to design scalable architectures, reusable modules, and microservices.
Nice-to-Have Skills
- Experience with Docker, Kubernetes, or serverless architecture.
- Familiarity with GraphQL, Redis, WebSockets, background job queues.
- Understanding of microservices, distributed systems, and event-driven architectures.
- Exposure to performance tuning, code security, and best practices.
- Experience with AI/ML model integrations, inference APIs, or AI-driven workflows.
Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
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