Lenovo is looking for a Senior Backend Developer to design and build scalable, high-performance backend systems using Java and modern microservices architecture, ensuring reliability, performance optimization, and seamless integration with AI-driven and event-based enterprise solutions.
What would you do:
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.
What you will bring:
Bachelor's degree or above in Computer Science, Software Engineering, or related fields.
8+ years of experience with high-scale distributed systems and cloud-native development
Strong proficiency in Java programming including multithreading, collections, and JVM optimization.
Extensive experience with Spring Boot, Spring Cloud, and microservices architecture.
Expertise in middleware technologies: PostgreSQL, RabbitMQ, Redis, Docker, and Kubernetes.
Experience with CI/CD pipelines and DevOps practices
AI-assisted development tools proficiency is a big plus
Experience designing real-time event-driven architectures and streaming data pipelines.
Familiarity with handling telemetry, sensor, IoT, or operational event data at scale.
Experience with Kafka, MQTT, or real-time messaging/event platforms is a plus.
Experience integrating enterprise platforms, third-party APIs, and operational systems into unified backend services.
Experience working with video metadata pipelines, computer vision systems, or AI-generated event data is a plus.
Strong learning ability and excellent teamwork skills.
What we offer:
Compensation & Rewards :
Performance-based salary reviews and annual bonuses
Meal tickets, service anniversary awards, and referral bonuses
Employee share purchase program
Scholarships for employees’ children
Health & Well-being :
Fully covered private medical insurance
Annual well-being allowance for sports, training, relaxation, and therapy ,and on-site chair massage
Life & accident insurance with extra medical coverage
Employee Assistance Program
Training & Development :
Technical Ladder & Sales Excellence programs
Individual Career Development Plans with mentoring
Bookster subscription for continuous learning
Time Away :
21–28 vacation days depending on tenure
Sick days and extra paid leave for public holidays on weekends
Additional paid leave for employees with children
What would you do:
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.
What you will bring:
Bachelor's degree or above in Computer Science, Software Engineering, or related fields.
8+ years of experience with high-scale distributed systems and cloud-native development
Strong proficiency in Java programming including multithreading, collections, and JVM optimization.
Extensive experience with Spring Boot, Spring Cloud, and microservices architecture.
Expertise in middleware technologies: PostgreSQL, RabbitMQ, Redis, Docker, and Kubernetes.
Experience with CI/CD pipelines and DevOps practices
AI-assisted development tools proficiency is a big plus
Experience designing real-time event-driven architectures and streaming data pipelines.
Familiarity with handling telemetry, sensor, IoT, or operational event data at scale.
Experience with Kafka, MQTT, or real-time messaging/event platforms is a plus.
Experience integrating enterprise platforms, third-party APIs, and operational systems into unified backend services.
Experience working with video metadata pipelines, computer vision systems, or AI-generated event data is a plus.
Strong learning ability and excellent teamwork skills.
What we offer:
Compensation & Rewards :
Performance-based salary reviews and annual bonuses
Meal tickets, service anniversary awards, and referral bonuses
Employee share purchase program
Scholarships for employees’ children
Health & Well-being :
Fully covered private medical insurance
Annual well-being allowance for sports, training, relaxation, and therapy ,and on-site chair massage
Life & accident insurance with extra medical coverage
Employee Assistance Program
Training & Development :
Technical Ladder & Sales Excellence programs
Individual Career Development Plans with mentoring
Bookster subscription for continuous learning
Time Away :
21–28 vacation days depending on tenure
Sick days and extra paid leave for public holidays on weekends
Additional paid leave for employees with children
