Design, develop, test, deploy, and maintain scalable, secure, and reliable software applications.

Write clean, modular, maintainable, and well-tested code.

Apply strong computer science fundamentals including data structures, algorithms, distributed systems, APIs, databases, cloud-native design, and secure coding practices.

Participate in architecture, design reviews, code reviews, production support, and continuous improvement.

AI-Augmented Development

Use GenAI tools to accelerate software delivery across the SDLC.

Leverage AI coding assistants and agentic tools for:

                *             Code generation

                *             Test generation

                *             Test automation

                *             Refactoring

                *             Code explanation

                *             Legacy code analysis

                *             Documentation

                *             Debugging

                *             Build and deployment automation

                *             Root cause analysis

                *             API and integration development

Create high-quality prompts, task specifications, and context packs that guide AI tools effectively.

Break complex engineering work into AI-executable tasks with clear acceptance criteria.

Review, validate, and improve AI-generated code before merging into production systems.