Description

Key Responsibilities

• Feature Evolution: Enhance existing banking applications by refactoring legacy code into modern, maintainable patterns (e.g., transitioning from a monolith to a modularized service). • AI-First Development: Utilize GitHub Copilot, Cursor, or similar LLM tools for 80% of your boilerplate, unit testing, and documentation. You should be able to "vibe code"—iterating quickly with AI to find the best architectural path. • Full Stack Implementation: Develop and maintain end-to-end features, from UI components (React/Angular) to API logic and database schemas. • Cloud Integration: Deploy features into AWS/Azure/GCP environments, following established CI/CD pipelines and Infrastructure-as-Code (Terraform) standards. • Banking Logic Guardrails: Ensure every line of AI-assisted code meets banking security standards (OWASP) and handles financial data with 100% integrity.

Technical Requirements

• Experience: 5–8 years of professional software engineering. • Core Stack (One of the following): o Java: Spring Boot, REST APIs, Microservices. o .NET: C#, .NET 6/8, Web API. o MEAN/MERN: Node.js, Express, React/Angular. o LAMP: Modern PHP (8.x), Laravel/Symfony, transitioning to containers. • Modern Patterns: Familiarity with Cloud-Native principles (Docker, Serverless) and Event-Driven Architecture. • AI Proficiency: Demonstrated ability to prompt and iterate with AI coding assistants to solve complex logic problems

Key Skills

Education

Bachelor's degree