Source description
About the role
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:
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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.
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