About Comprinno
Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.
Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.
As an AWS Advanced Consulting Partner, Comprinno helps organizations migrate, modernize, secure, and operate cloud environments while adopting emerging technologies such as Generative AI and cloud-native architectures.
About the Internship
We are looking for passionate and self-driven Software Developer Interns who are eager to build modern cloud-native applications and contribute to real-world software products.
As a Software Developer Intern, you will work closely with experienced engineers, architects, and product teams to develop scalable applications, APIs, automation tools, and platform capabilities that power our SaaS products and cloud solutions.
This internship provides hands-on exposure to modern software engineering practices, cloud-native development, DevOps, databases, APIs, and AI-assisted development workflows.
This is an excellent opportunity for students who aspire to build careers in Software Engineering, Product Development, Cloud Engineering, Platform Engineering, or AI-powered application development.
Learning Areas & Responsibilities
Software Development
- Assist in designing, developing, testing, and deploying new features for Tevico and internal applications.
- Write clean, maintainable, and well-documented code following engineering best practices.
- Participate in code reviews and technical discussions.
- Assist in debugging, troubleshooting, performance optimization, and code refactoring activities.
- Contribute to software quality through testing and continuous improvement.
Cloud-Native Application Development
- Learn and contribute to cloud-native application architectures.
- Develop and enhance backend services, APIs, and microservices.
- Work with scalable cloud-based systems deployed on AWS.
- Understand distributed systems and modern application design principles.
APIs & Integration Development
- Build and enhance REST APIs and service integrations.
- Work with authentication, authorization, and API security concepts.
- Assist in integrating applications with internal and external systems.
Databases & Data Management
- Work with relational databases such as PostgreSQL.
- Gain exposure to NoSQL databases such as MongoDB.
- Learn database design, query optimization, indexing, and performance tuning concepts.
- Understand data modeling and storage strategies.
DevOps & Engineering Excellence
- Use Git and modern version control practices.
- Gain exposure to CI/CD pipelines and deployment automation.
- Work with Docker containers and cloud-native deployment models.
- Learn software delivery, release management, and operational best practices.
Innovation & Research
- Explore emerging technologies, frameworks, and development tools.
- Participate in prototyping and proof-of-concept activities.
- Contribute ideas that improve product capabilities, performance, and user experience.
- Leverage AI-assisted development tools to improve productivity and software quality.
Required Qualifications
- Recently completed a Bachelor's degree (B.E. or B. Tech.) in:
- Computer Science
- Information Technology
- Computer Engineering
- Electronics & Telecommunications
- Related Engineering disciplines
- Strong programming fundamentals and understanding of data structures and algorithms.
- Good understanding of object-oriented programming concepts.
- Familiarity with software development lifecycle (SDLC) concepts.
- Good understanding of relational databases and SQL.
- Strong analytical and problem-solving abilities.
- Good communication and collaboration skills.
- Passion for software development and continuous learning.
Desired Skills & Experience
- Proficiency in one or more programming languages such as Java, Python, or JavaScript.
- Exposure to:
- Java Spring Boot
- Angular / React
- Python Frameworks
- Familiarity with REST APIs and web application development.
- Understanding of PostgreSQL, MongoDB, or similar databases.
- Experience using Git and GitHub.
- Exposure to Docker and containerization concepts.
- Awareness of CI/CD pipelines and DevOps practices.
- Familiarity with AWS, Azure, or GCP cloud platforms.
- Participation in coding competitions, hackathons, open-source projects, or technical communities.
- Experience using AI-assisted coding tools such as GitHub Copilot, Amazon Q, ChatGPT, Cursor, Windsurf, or similar platforms.
What We're Looking For
- Strong problem-solving mindset and logical thinking abilities.
- Curiosity and willingness to learn new technologies quickly.
- Passion for building products and solving real-world problems.
- Ownership mindset and attention to detail.
- Ability to collaborate effectively in team environments.
- Self-motivated learner who thrives in fast-paced environments.
- Strong communication and documentation skills.
What Success Looks Like
- Successfully contributes to real product and engineering initiatives.
- Demonstrates strong software engineering fundamentals.
- Builds proficiency in cloud-native application development.
- Develops quality code with appropriate testing and documentation.
- Effectively collaborates with engineering and product teams.
- Demonstrates learning agility, ownership, and technical growth.
- Becomes deployment-ready for a Software Engineer or Product Engineer role.
What You Will Gain
- Hands-on experience in a fast-growing Cloud and AI technology company.
- Exposure to production-grade SaaS products and cloud-native applications.
- Mentorship from experienced software engineers, architects, and technology leaders.
- Experience working with AWS-based architectures and modern development practices.
- Exposure to DevOps, automation, APIs, databases, and cloud engineering concepts.
- Opportunity to contribute to production-grade software used by enterprise customers.
- A potential pathway to a full-time Software Engineer role based on performance.