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Lenovo

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Advisory Engineer - Backend/Cloud

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Description



Join Lenovo’s Solutions & Services Group (SSG) and help shape the next generation of intelligent, scalable platform solutions that power enterprise innovation worldwide. As a Senior Backend Engineer, you will play a key role in designing high-performance cloud-native systems, real-time data platforms, and AI-enabled applications while working with cutting-edge technologies across distributed architectures. In this role, you will collaborate with global engineering teams to build reliable, scalable, and future-ready solutions that support Lenovo’s strategic software and services transformation agenda. You will report directly to the Director, Strategic Software Engineering & Site Leader and contribute to driving technical excellence, innovation, and platform growth across the organization.


What You Will Do:

Backend Development & Microservices


  • Design, develop, and enhance platform business functionalities based on Product Requirement Documents (PRDs), translating business needs into scalable and reliable technical solutions.
  • Build and maintain high-performance backend applications and microservices using Java and Spring ecosystem technologies, ensuring security, stability, and seamless integration across the platform.

Architecture & Data Design


  • Design business models, application architectures, and scalable data structures that support current requirements while enabling future growth and platform evolution.
  • Collaborate with database teams to design and optimize PostgreSQL schemas, implementing best practices for data integrity, performance, and long-term scalability.

System Reliability & Performance Optimization


  • Troubleshoot and resolve platform issues, including service exceptions, interface failures, and production incidents, using logging, monitoring, and debugging tools.
  • Perform proactive system maintenance and continuously improve platform reliability, availability, and operational stability across critical services.
  • Analyze and optimize application performance through code refactoring, database tuning, and middleware optimization, including technologies such as RabbitMQ and Redis.

AI & Emerging Technologies


  • Support the integration of AI/ML services, inference APIs, and LLM-powered workflows into enterprise applications, leveraging REST/gRPC integration patterns and contributing to solutions utilizing modern AI infrastructure, with exposure to NVIDIA AI technologies (NIMs, Triton Inference Server, Metropolis, DeepStream) considered a strong advantage.



What You Will Bring:

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Information Technology, or a related technical field.
  • 8+ years of proven software engineering experience, including 5+ years building high-scale distributed systems and cloud-native applications.
  • Strong expertise in Java development, including multithreading, collections framework, JVM tuning, performance optimization, and backend best practices.
  • Hands-on experience designing and developing enterprise applications using Spring Boot, Spring Cloud, and microservices architectures.
  • Advanced knowledge of PostgreSQL, RabbitMQ, Redis, Docker, Kubernetes, and modern backend infrastructure technologies.
  • Experience designing real-time event-driven architectures, streaming data pipelines, and messaging platforms, with knowledge of Kafka, MQTT, or similar technologies considered an advantage.
  • Proven ability to integrate enterprise platforms, third-party APIs, operational systems, and large-scale telemetry, sensor, IoT, or event data into unified backend services.
  • Experience with CI/CD pipelines, DevOps practices, AI-assisted development tools, and preferably exposure to video metadata pipelines, computer vision solutions, or AI-generated event data, combined with strong problem-solving, learning agility, and 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 nd 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


Skills

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See also

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