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viseo asia pte. ltd.

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Full Stack Engineer

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Summary

Full stack engineer in Singapore building a Gross-to-Net (GTN) calculation platform: a high-performance React/AG Grid spreadsheet-like UI, Python/Node.js REST backend with waterfall calculations and L0–L3 approval workflows, plus Cloud SQL/BigQuery and Azure AD SSO integration. Requires 6–8 years of full stack experience.

RESPONSIBILITIES Spreadsheet Grid UI: Build a responsive, high-performance web grid (React / AG Grid) featuring Excel-like inline editing, multi-cell interactions, and responsive formula handling. Calculation & Workflow Engine: Implement backend business logic (Python / REST APIs) for the Gross-to-Net (GTN) waterfall calculations, dynamic volume conversions, and multi-level approval workflows (L0 to L3). AI-Assisted Engineering: Work with GitHub Copilot and AI pair-programming tools to accelerate build velocity from documented functional specs. API & Database Integration: Connect the frontend application to centralized databases (Cloud SQL / BigQuery) and integrate with Azure AD / SSO. Performance Tuning: Optimize complex grid rendering and backend calculation query response times. Defect Resolution: Swiftly resolve bugs, calculation variances, and edge cases flagged during SIT and UAT cycles. Deployment Support: Support production releases, CI/CD pipeline deployments, and cutover data freeze activities. Hypercare Assistance: Provide second-line technical support and rapid code patches during initial live deployment. PROFILE Minimum of bachelors degree or equivalent Minimum 6 - 8 years of full stack software engineering experience. Frontend:

Strong proficiency in React, TypeScript, JavaScript (ES6+), HTML5/CSS3, and hands-on experience building complex spreadsheet-like grids (AG Grid or similar). Backend:

Strong API and business logic implementation using Python (FastAPI/Flask) or Node.js. Database & Cloud:

Hands-on experience with relational databases (PostgreSQL / Cloud SQL) and RESTful API architecture familiarity with GCP (Cloud Run, IAM) and Docker containerization. Strong Git/GitHub version control, CI/CD pipeline familiarity, and unit/integration testing discipline. Good to have - Experience using GitHub Copilot / AI coding tools and building approval/workflow state machines.

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