Job Summary
As a Software Engineering Intern,You will get to be part of the one or more aspects of the engineering lifecycle of tools and/ or features that enable our solutions to reach millions of end users and enterprises who use our important applications and services every day to run their business. We also look to you to help deliver high quality software through automated testing, and own your service in production with real-time monitoring tools and frameworks.
Responsibilities
- Operate within a dynamic work environment to generate software of exceptional quality
- Collaborate with the development team to design, develop, test and deploy software products
- Engage in developing solutions that seamlessly integrate into distributed systems, using innovative technology at an unprecedented scale and speed.
- Develop optimized code that may be included as part of our next software release
- Contribute to our suite of automated tests and testing infrastructure
- Contribute to tools and solutions to support and monitor our various cloud services
Eligibility Criteria
- Enrolled in sophomore year or higher at a college/university or any year at a graduate school
- Working towards a B.E/ B.Tech in Computer Science, Information Technology and Circuit Branch graduating in 2028
Required Skills
- Academic or professional/internship
- Ability to quickly learn new technologies
- Strong analytical and problem-solving skills
- Ability to thrive in a fast-paced environment
- Be a self-starter and possess strong sense of self-motivation
- Excellent in effectively communicating technical challenges and proposing solutions
- Skilled in navigating through ambiguous or undefined problems, coupled with the ability to think abstractly
Desired Skills
- Experience with programming languages such as Java, C++ or Python
- Knowledge of web development technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, or Vue.js) is a plus
- Coursework in SQL and relational database conceptsility to think abstractly
- Strong in Computer Science fundamentals, including object-oriented design, data structures, algorithm development, problem-solving, and complexity analysis