Backend Engineer - AI Platform and Cloud Native Services

Lenovo is a global technology company developing enterprise AI and cloud solutions. The Backend Engineer will build and maintain scalable cloud-native platform services for AI model orchestration, token accounting, cost controls, security governance, usage analytics, and API management. The role focuses on Java-based microservices, data architecture, system reliability, performance optimization, and AI/LLM service integration.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• Bachelor's degree or above in Computer Science, Software Engineering, or equivalent experience
• 5-10+ years of experience with high-scale distributed systems and cloud-native development
• AI-assisted development tools proficiency is required
• Strong programming skills including multithreading, concurrency, and profiling and optimization in Java or equivalent
• Expertise  in  common components: PostgreSQL, RabbitMQ, Redis, Docker, Kafka, and Kubernetes
• Experience with CI/CD pipelines and DevOps practices
• Experience with modern software architecture such as real-time event-driven architectures, micro-services and streaming data pipelines
• Familiarity with handling telemetry, sensor, IoT, or operational event data at scale
• Experience integrating enterprise platforms, third-party APIs, and operational systems into unified backend services