基本信息

职位编号:
100017184
工作领域:
Software Engineering
国家/地区:
中国
省:
天津
市:
天津(Tianjin)
日期:
星期一, 6 月 15, 2026
其他工作城市
* China

为什么选择联想

联想文化,我们称之为 “We Are Lenovo”(我们,就是联想),其核心是:“说到做到,尽心尽力,成就客户”。

联想集团是一家年收入830亿美元的全球化科技巨头,位列《财富》世界500强第153名,服务遍布全球180个市场数以百万计的客户。为实现“智能,为每一个可能” 的公司愿景,联想在不断夯实全球个人电脑市场冠军地位的基础上,积极构建全栈式的计算能力,现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图,包括个人电脑、工作站、智能手机、平板电脑等终端产品,服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起,共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市(港交所:992)(美国预托证券代号:LNVGY)。

欢迎访问联想官方网站 https://www.lenovo.com,并关注“联想集团”微博及微信公众号等社交媒体官方账号,或关注“联想招聘”公众号,获取联想最新动态。

职位描述和要求:

Job Responsibilities 

Design, develop, and maintain enterprise-grade backend systems using Java and Spring ecosystem, ensuring high performance, scalability, and reliability. 

Lead the design and implementation of microservices architecture, including service decomposition, API design, and system integration. 

Build and maintain RESTful / RPC APIs to support complex business scenarios and high-concurrency workloads. 

Take ownership of core backend modules and frameworks, participating in system architecture design and technical decision-making. 

Optimize system performance and stability, including JVM tuning, thread management, database optimization, and distributed system troubleshooting. 

Build and maintain data pipelines and knowledge integration layers to support AI-driven business scenarios. 

Collaborate with frontend, AI, data, and DevOps teams to deliver end-to-end solutions. 

Follow best engineering practices, including code review, automated testing, CI/CD, and secure software development lifecycle. 

Job Requirements

Proficiency in Java, with practical experience in development frameworks like Spring, SpringMVC, SpringBoot, MyBatis, JPA, and mainstream microservices frameworks (Spring Cloud, Dubbo), including an understanding of their core principles. 

Solid foundation in data structures, algorithms, and object-oriented design, with strong engineering mindset and coding standards. 

Proven experience with microservices architecture, distributed systems, and service governance (e.g., configuration, discovery, circuit breaking). 

Hands-on experience with relational and NoSQL databases, including schema design, transaction management, and performance optimization. 

Capable of writing and optimizing complex SQL statements and store procedures, able to build and maintain ETL, ensuring the efficiency and data consistency of the data storage layer. 

Familiar with middleware and infrastructure components such as Redis, Kafka/RabbitMQ, Elasticsearch, and API gateways. 

Experience with containerization and cloud-native technologies, including Docker and Kubernetes. 

Proficient with development and DevOps tools such as Maven/Gradle, Git, and CI/CD pipelines. 

A bachelor's degree or above in computer science, artificial intelligence, data science, software engineering, mathematics, or a related field is required; a master's or doctoral degree is preferred. 

Ability to have good communicate in English, both written and verbal. 

Experience in designing and delivering large-scale, distributed backend systems in production environments. 

Hands-on experience in integrating AI or intelligent services into business systems is a strong plus, but not mandatory.

其他工作城市
* China
* China