1. Develop and architect automated platforms for DevOps, enabling self-service and self-operations, improving release stability and efficiency.
2. Responsible for develop……
1. Develop and architect automated platforms for DevOps, enabling self-service and self-operations, improving release stability and efficiency. 2. Responsible for developing middleware that enhances the stability of business systems, optimizing underlying foundational service capabilities, and implementing rapid recovery capabilities for business systems, including but not limited to restart and rollback. 3. Responsible for improving one-click release and deployment strategies across various environments, from the infrastructure-layer CMDB to CI/CD systems, and further to public cloud, physical machines, virtual machines, etc., enabling full lifecycle management of application engineering and automated scheduling and operations capabilities. 4. Responsible for team management, project progress management, code standards and quality control, and playing a leading role in technical direction.
1. Degree in Computer Science or a related field, with 5+ years of experience in application release management for 10,000+ applications. 2. Proficient in Java backend development languages, familiar with frontend development frameworks, and hands-on experience with various major vendors' release systems such as aone, Yunxiao, appos, or open-source systems like flux cd and argo cd. 3. Familiar with Alibaba Cloud/Tencent Cloud, with experience in public cloud and physical machine deployment and management. 4. Capable of designing distributed application architectures for large-scale internet applications, proficient in technical domains such as load balancing, caching, message middleware, storage, and databases. 5. Practical experience in designing and building O&M PaaS platform architectures. Proficient in the architecture design, development, application, and implementation of large-scale enterprise-grade container platforms centered on Docker and Kubernetes, with experience in using and deploying rancher and kubesphere. 6. Led the design and practice of automated and intelligent release systems, with practical experience in high-concurrency online business. 7. Understands the development trends of R&D efficiency platforms, with actual integration and design experience at major vendors preferred.