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Development of a Scalable Salary Advance Platform with Microservices Architecture
  1. case
  2. Development of a Scalable Salary Advance Platform with Microservices Architecture

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Development of a Scalable Salary Advance Platform with Microservices Architecture

opinov8.com
Financial services
Human Resources

Financial Instability and Payroll Limitations

Monthly payroll cycles create financial insecurity for 78% of workers, leading to reliance on high-cost loans, debt accumulation, and unplanned overdrafts. This instability reduces workplace productivity and limits employers' ability to meet employee financial needs while maintaining cash flow neutrality.

About the Client

Award-winning salary advance service providing employees with early access to earned wages as an employer-sponsored benefit

Platform Development Goals

  • Create a minimum viable product for immediate user feedback
  • Implement microservices architecture for scalability and speed
  • Design intuitive UX/UI for seamless salary advance access
  • Integrate analytics and reporting capabilities
  • Support customizable payroll configurations for diverse clients

Core System Functionalities

  • Mobile-first salary advance request system
  • Real-time payroll integration
  • Dynamic fee capping mechanism
  • User financial health dashboard
  • Employer administration portal

Technology Stack

.NET
Angular
Java
AWS
MySQL
Microservices Architecture

System Integrations

  • Payroll systems (e.g., ADP, SAP)
  • Payment gateways
  • Financial analytics tools
  • User identity verification services

Performance Requirements

  • High-availability architecture (99.99% uptime)
  • Real-time transaction processing
  • GDPR-compliant data security
  • Horizontal scalability for rapid growth

Business Transformation Outcomes

Enables immediate salary access for improved financial wellbeing, reduces employee financial stress-related productivity losses, and provides employers with a competitive benefit offering. The platform's scalability supports rapid market expansion while maintaining operational efficiency through automated processes and data-driven decision-making.

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