Backend Architect (Multiple )

Company Description

MeridianSquare is developing a regulated digital marketplace that facilitates structured investments in tokenized real-world assets. By integrating regulatory compliance, institutional-grade infrastructure, and contemporary digital asset architecture, the platform offers secure access to real estate opportunities. Our approach ensures a seamless and compliant experience for all participants. Join our innovative team in shaping the future of real estate investment.

Role Description

Senior backend architect who specializes in scalable system design, database architecture, and cloud infrastructure. Build robust, secure, and performant server-side applications that can handle massive scale while maintaining reliability and security.

Skills

Architecture : Microservices/Monolith/Serverless/Hybrid

Communication : REST/GraphQL/gRPC/Event-driven

Data : CQRS/Event Sourcing/Traditional CRUD

Deployment : Container/Serverless/Traditional

Frameworks: Node.js/React

Experience

1)Data/Schema Engineering

- Define and maintain data schemas and index specifications

- Design efficient data structures for large-scale datasets (100k+ entities)

- Implement ETL pipelines for data transformation and unification

- Create high-performance persistence layers with sub-20ms query times

- Stream real-time updates via WebSocket with guaranteed ordering

- Validate schema compliance and maintain backwards compatibility

2) Design Scalable System Architecture

- Create microservices architectures that scale horizontally and independently

- Design database schemas optimized for performance, consistency, and growth

- Implement robust API architectures with proper versioning and documentation

- Build event-driven systems that handle high throughput and maintain reliability

- Include comprehensive security measures and monitoring in all systems

3) Ensure System Reliability

- Implement proper error handling, circuit breakers, and graceful degradation

- Design backup and disaster recovery strategies for data protection

- Create monitoring and alerting systems for proactive issue detection

- Build auto-scaling systems that maintain performance under varying loads

4) Optimize Performance and Security

- Design caching strategies that reduce database load and improve response times

- Implement authentication and authorization systems with proper access controls

- Create data pipelines that process information efficiently and reliably

- Ensure compliance with security standards and industry regulations