- Backend System Development:
Design and develop platform business functions based on Product Requirement Documents (PRD).
Implement scalable microservices using Java and Spring ecosystems.
Ensure high-performance, reliable backend services that meet business requirements.
- Architecture & Data Design:
Design efficient business models and data structures based on platform requirements.
Collaborate with database teams to optimize PostgreSQL schema design.
Implement best practices for data integrity and system scalability.
- System Maintenance & Troubleshooting:
Diagnose and resolve platform issues including service exceptions and interface failures.
Utilize logging, monitoring, and debugging tools for rapid problem resolution.
Ensure platform stability and reliability through proactive maintenance.
- Performance Optimization:
Analyze and optimize platform performance through code improvements and database tuning.
Configure and optimize middleware components including RabbitMQ and Redis.
Implement monitoring and continuous performance improvements.
- AI/LLM Integration Awareness:
Experience integrating AI/ML services, inference APIs, or LLM-based workflows into enterprise applications.
Familiarity with REST/gRPC integration patterns for AI services and GPU-accelerated environments.
Exposure to NVIDIA AI ecosystem technologies (NIMs, Triton Inference Server, Metropolis, DeepStream) is a plus.