Experience & Qualifications:
10+ years of professional hands-on backend software engineering experience in production environments — mandatory
Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience — mandatory
Experience in banking, fintech, or a similarly regulated, high-compliance domain — strongly preferred
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience)
AWS Certified Developer / Solutions Architect — a plus
Proven track record of delivering complex distributed systems with high availability and measurable performance outcomes
Key Responsibilities:
Agentic SDLC / AI-DLC Platform Engineering
Design, build, and evolve the core backend infrastructure of Client’s Agentic SDLC / AI-DLC platform
Develop and operate AI agent pipelines for spec ingestion, code generation, automated review, and test synthesis
Build MCP server integrations and tool-use layers that enable AI agents to interact with internal banking systems, APIs, and data sources securely
Architect and maintain RAG pipelines that ground AI agents in Client’s codebase, API contracts, compliance rules, and architecture decisions
Establish quality gates and evaluation frameworks that validate AI-generated code against engineering standards before it enters the delivery pipeline
Core Frontend & Mobile Platform Engineering
Design, develop, and evolve production-grade mobile and web interfaces utilizing React Native, React, and TypeScript — mandatory hands-on experience
Architected and implemented Re.Pack for React Native bundling, leveraging module federation and micro-frontend patterns to enable scalable enterprise application delivery
Maintained and extended machine-readable design system components within Storybook, ensuring adherence to enterprise UI/UX standards and library reusability
End-to-end feature ownership from Figma handoff through implementation, automated testing (Jest, Playwright, Appium, or Maestro), and production monitoring