Job DescriptionWe are looking for motivated and curious interns who want hands-on learning and practical exposure in modern technology domains. This internship is designed for students and freshers who are serious about building strong technical foundations and working on industry-relevant skills.
Selected interns will undergo structured training in the following key areas:
- Full-Stack Development
- MVP Design, Development and Deployment
- Data Analysis
- Cloud-Native DevOps & SRE
- Cyber Security & AI Defense
What You Will LearnYou will get structured guidance, practical assignments, and real-world exposure in areas such as:
- Modern development workflows and deployment practices, MVP Design, Development and Deployment
- Cloud platforms, CI/CD, automation, monitoring and reliability principles
- Security fundamentals, cyber defense concepts and AI-driven security practices
- Frontend and backend application development
- Data cleaning, analysis, reporting and insight generation
Requirements
Candidates applying for this internship should have a strong interest in technology along with basic practical knowledge in relevant areas. Since this is a skill-building internship, we are looking for applicants who already have foundational understanding and are ready to learn at a deeper level.
Applicants should have a basic understanding of:
- Computer fundamentals, operating systems and networking concepts
- How software applications work, including client-server basics
- Logical thinking, debugging and problem-solving approaches
- Basic command-line usage and familiarity with development environments
Programming Knowledge
Candidates should have hands-on familiarity with at least one programming language or development stack such as:
- Languages: Python, JavaScript, TypeScript, Java, C#, C++, Go, PHP, SQL
- Frontend Technologies: HTML5, CSS3, JavaScript, TypeScript, React.js, Next.js, Vue.js, Angular, Tailwind CSS, Bootstrap
- Backend Technologies: Node.js, Express.js, NestJS, Django, FastAPI, Spring Boot, .NET
- Database & API Basics: MySQL, PostgreSQL, MongoDB, Firebase, REST APIs, GraphQL
- Version Control & Development Tools: Git, GitHub, VS Code, Postman, Docker
Preferred Practical Exposure
Candidates with practical exposure beyond classroom learning will stand out during the selection process. We value applicants who have already taken initiative to apply their knowledge through self-driven work, collaborative learning or technical participation.
Applicants with any of the following will have an advantage:
- Academic projects that demonstrate problem-solving, technical understanding and the ability to build or analyze real solutions
- Personal coding projects that show curiosity, self-learning and interest in exploring technologies beyond the curriculum
- GitHub portfolio with code samples, repositories, experiments or project contributions that reflect hands-on experience
- Technical certifications in relevant areas such as programming, cloud, cybersecurity, DevOps, full-stack development or data analysis
- Participation in hackathons, workshops, bootcamps or training programs that highlight active learning, teamwork and practical exposure to real-world challenges
Office location: https://share.google/ooyOlHQjpDg0taj0DBenefits
This internship is designed to give aspiring candidates a valuable head start in their careers through paid learning, practical exposure and direct mentorship.
- Monthly stipend of ₹12,000 for 6 months
- Hands-on training in Full-Stack Development and Data Analysis, MVP Design, Development and Deployment, Cloud-Native DevOps & SRE, Cyber-Security & AI Defense,
- Real-world project exposure to help interns build practical industry-ready skills
- Mentorship from experienced professionals throughout the internship
- Opportunity for full-time hiring for highly skilled and outstanding performers
RequirementsCandidates applying for this internship should have a strong interest in technology along with basic practical knowledge in relevant areas. Since this is a skill-building internship, we are looking for applicants who already have foundational understanding and are ready to learn at a deeper level. 1. Core Technical Foundation Applicants should have a basic understanding of: Computer fundamentals, operating systems, and networking concepts How software applications work, including client-server basics Logical thinking, debugging, and problem-solving approaches Basic command-line usage and familiarity with development environments 2. Programming Knowledge Candidates should know at least one programming language such as: Python JavaScript Java C++ SQL They should be comfortable with: Writing basic programs and functions Using conditions, loops, arrays, and data structures Understanding basic object-oriented or modular programming concepts Reading and improving existing code 3. Skills for Full-Stack Development Track Candidates interested in Full-Stack Development should have some familiarity with: HTML, CSS, and JavaScript Basic frontend concepts such as forms, components, and responsive design Backend basics such as APIs, databases, authentication, and server-side logic Working with tools or frameworks like React, Node.js, Express, or similar is a plus 4. Skills for Cloud-Native DevOps & SRE Track Candidates interested in DevOps and SRE should have basic awareness of: Linux fundamentals and terminal commands Git and version control workflows CI/CD concepts Containers and Docker basics Cloud platform fundamentals such as AWS, Azure, or Google Cloud Monitoring, logging, system reliability, and automation concepts are a plus 5. Skills for Cyber Security & AI Defense Track Candidates applying for this track should have foundational understanding of: Cybersecurity basics such as threats, vulnerabilities, phishing, malware, and safe access practices Network and application security basics Authentication, authorization, and data protection concepts Interest in AI security, threat detection, or defensive automation Familiarity with security tools, ethical hacking labs, or incident response concepts is an advantage 6. Skills for Data Analysis Track Candidates interested in Data Analysis should have basic knowledge of: Excel or spreadsheets Data cleaning and organizing SQL basics Python for data handling is a plus Understanding charts, reports, dashboards, and how to draw insights from data Familiarity with tools like Power BI, Tableau, Pandas, or similar platforms is an added advantage 7. Professional and Learning Skills All candidates should also demonstrate: Strong willingness to learn and adapt quickly Attention to detail and discipline in completing tasks Good communication skills Ability to work independently and in a team Curiosity, consistency, and a genuine interest in building a career in technology 8. Preferred Practical Exposure Candidates with any of the following will stand out: Academic projects Personal coding projects GitHub portfolio Technical certifications Participation in hackathons, workshops, or training programs
