职位&公司对比

职位详情

• 上海
• 不限
• 本科

• Golang
• Java
• SpringCloud
• MongoDB
• Spring

职位描述： 1. Detailed Design and Development: • Design and develop high-performance, highly available cloud applications and services for ADAS functions of connected vehicles. • Write high-quality code, unit 直聘test, conduct code reviews, and ensure code maintainability and scalability. • Develop backend services based on Product Requirement Documents (PRDs) for ADAS functions. 2. Software Implementation: • Optimize system performance and resource utilization, ensuring high QPS (Queries Per Second) handling. • Develop and maintain cloud microservices to ensure system stability. • Continuously deliver backend applications under Agile methodologies. 3. Data Processing and Management: • Design and implement large-scale data processing pipelines to ensure efficient and reliable data processing. • Manage and optimize databases to ensure efficient and secure data access. 4. Troubleshooting and Optimization: • Responsible for system performance tuning, troubleshooting, and resolving complex technical issues. • Regularly conduct system health checks to prevent and address potential issues. • Support IT Security Assessment. 5. Team Collaboration and Technical Support: o Collaborate closely with vehicle end and other related teams to ensure smooth project implementation. o Provide technical guidance and support to team members, driving technical progress. 职位要求： 1. Educational Background: o Bachelor’s degree or higheBOSS直聘r in Computer Science, Software Engineering, Information System Management, or a related field. 2. Work Ekanzhunxperience: o At least 5 years of backend development experience, with a minimum of 3 years in cloud development. o Experience in connected vehicles or related fields is preferred. 3. Technical Skills: o Proficient in Java programming language and related frameworks (such as Spring Boot, Spring Cloud). o Knowledgeable in cloud computing platforms (such as Aliyun) and their services. o Understanding of containerization technologies (such as Docker, Kubernetes) and microservice architecture. o Familiarity with database technologies (such as MySQL, MongoDB) and big data processing technologies (such as Hadoop, Spark). o Knowledge of computer networks and common protocols (e.g., TCP/IP, UDP, DNS, FTP, SSH, SSL/TLS, HTTP). o Familiarity with continuous integration/continuous deployment (CI/CD) practices.