Software Development Intern at Shure India
On-site · Hyderabad, Telangana, India · intern
Practice the Software Development Intern interview at Shure India with an AI interviewer: voice, live coding and a scorecard.
Skills the interview covers
- software development principles
- data structures
- algorithms
- object-oriented programming
- programming languages (Python, Java, JavaScript, TypeScript)
- application development
- REST APIs
- databases
- SQL
- Large Language Models
About the role
Understand the product architecture, application workflows, customer use cases, technical requirements, dependencies, and engineering challenges across the complete software development lifecycle. Assist in designing, developing, enhancing, and maintaining software applications and components based on business and technical requirements. Write clean, readable, reusable, maintainable, and efficient code following established coding standards and software engineering best practices. Develop and integrate application features across frontend, backend, APIs, databases, and supporting services, as applicable to the assigned project. Participate in requirements analysis, technical discussions, solution design, code reviews, debugging, and implementation activities. Build and consume RESTful APIs and work with databases, data models, queries, and application integrations. Identify, troubleshoot, and resolve software defects, performance issues, integration challenges, and unexpected application behavior. Develop unit tests and integration tests to validate software functionality, reliability, and maintainability. Use Git-based version control workflows to manage code changes, collaborate with team members, and contribute to shared repositories. Work with Jenkins or other CI/CD tools to understand build processes, automated checks, deployment workflows, and software delivery practices. Explore modern development tools, frameworks, libraries, and architectural approaches to improve development efficiency and software quality. Prototype AI-assisted software development solutions using Large Language Models (LLMs), Generative AI, and AI agents for activities such as code generation, code review, documentation, debugging, refactoring, and test creation. Contribute to AI-enabled engineering workflows where software agents can analyze requirements, use development tools, generate or modify code, and validate outcomes with appropriate human review. Evaluate AI-generated code for correctness, maintainability, security, performance, and adherence to established engineering standards. Apply secure coding practices, investigate technical challenges, and recommend improvements to application performance, reliability, scalability, and maintainability. Document technical designs, implementation decisions, APIs, and development workflows to support knowledge sharing and long-term product maintenance.