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Full Stack Engineer

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Onsite

Full Stack Engineer

VISEO ASIA

Full Stack Engineer

Skills

Google Cloud PlatformSQL QueriesDockerReactNodeTypescriptFlaskPythonHTMLPostgreSQLGitAIGitHubFastAPIJavascriptAzure

3 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

16 October 2026

What they need


RESPONSIBILITIES

Core Development (Throughout Sprints / Build)

  • 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.

Integration & Hardening (During SIT & UAT)

  • 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.

Cutover & Hypercare (Go-Live / PGLS)

  • 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 6 – 8 years of fullstack 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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