Headquartered in Hong Kong, we have over 100 hotels and resorts under four brands nested in key cities and beautiful beachfront locations globally. We are expanding rapidly with a strong development pipeline throughout Asia, the Middle East, Europe and Africa.
Regarded as one of the world's finest hotel ownership and management companies, Shangri-La is dedicated to delight guests around the world with legendary service, finely tuned from over 45 years of hospitality from the heart. We have an affinity with Asian travelers and we offer them a gateway to the rest of the world, positioning us a leading brand in luxury hospitality.
As an enviable employer with industry leading levels of colleague engagement, our people are our priority. Our success is only made possible through the efforts and abilities of over 42,000 colleagues worldwide. In accordance with this belief, the focused investment we make in the learning and development of our colleagues is unparalleled in the global hospitality industry. From welcoming new colleagues, to best in class leadership development, you can be sure that potential is identified and nurtured throughout your career.
基础资质
计算机相关专业本科及以上学历,7年及以上DevOps/运维开发相关经验,3年及以上技术团队管理经验
有大型互联网或企业级DevOps平台从0到1搭建与团队管理经验,具备AI工程化项目落地经验优先
基本的英语听说能力
核心职责与要求
负责DevOps技术团队的管理、培养与绩效考核,带领团队完成公司研发效能提升、AI工程化落地与业务稳定性保障目标
精通Kubernetes生态与容器化技术,具备主导大规模业务从0到1容器化改造的项目管理经验,能够统筹资源把控项目进度与质量,保障项目按时落地交付
负责公司AI-DevOps体系的整体规划与演进,统筹建设适配AI研发的DevOps工具链,支撑大模型训练、微调、推理、部署全流程的工程化落地,推动AI技术赋能DevOps全业务域,落地AI智能Code Review、智能故障根因定位、自动化运维助理等提效工具
带领团队搭建私有化AI平台的标准化交付与自动化运维体系,深入理解AI工作负载特性,结合大模型与知识库服务的部署特点,设计高可用、可扩展的底层基础设施架构,保障AI服务在不同场景下的性能与稳定性
负责公司DevOps体系的整体规划与演进,结合业务发展需求,持续优化CI/CD流程、容器云平台、可观测性体系,提升全公司研发交付效率
对接业务与AI研发团队,深入理解用户需求,统筹规划平台功能迭代,平衡技术投入与业务价值,保障平台服务体验与稳定性
跟踪AI-DevOps领域前沿技术,引入合适的技术与实践,推动公司工程效能体系与AI研发能力持续升级
软能力要求
极强的服务保障意识与业务责任感,能够站在公司整体业务视角统筹生产与AI服务稳定性保障工作,建立完善的故障响应与应急处理机制
清晰的用户体验思维,能够从AI研发团队与业务研发团队的需求出发,持续打磨DevOps工具与服务,提升研发团队整体满意度
优秀的项目管理与跨部门沟通能力,能够协调多方资源推动大型AI工程化与容器化改造项目落地,平衡不同业务线需求与团队产能
具备优秀的团队培养能力,能够搭建梯队合理、AI工程化能力突出的DevOps技术团队,打造开放进取的技术文化
Basic Qualifications
Bachelor's degree or above in computer-related majors, with no less than 7 years of experience in DevOps/operation and development, and no less than 3 years of technical team management experience
Experience in building large-scale Internet or enterprise-level DevOps platforms from scratch and team management, experience in AI engineering project implementation is preferred
Basic English listening and speaking skills
Core Responsibilities & Requirements
Responsible for the management, training and performance appraisal of the DevOps technical team, leading the team to achieve the company's R&D efficiency improvement, AI engineering implementation and business stability assurance goals
Proficient in Kubernetes ecosystem and containerization technology, have project management experience in leading large-scale business containerization transformation from scratch, able to coordinate resources, control project progress and quality, and ensure the on-time delivery of the project
Responsible for the overall planning and evolution of the company's AI-DevOps system, coordinate the construction of DevOps toolchains adapted for AI R&D, support the engineering implementation of the whole process of large model training, fine-tuning, inference and deployment, promote AI technology to empower the entire DevOps business domain, and implement efficiency improvement tools such as AI intelligent Code Review, intelligent fault root cause location, and automated operation assistant
Lead the team to build a standardized delivery and automated operation and maintenance system for private AI platforms, deeply understand the characteristics of AI workloads, design a highly available and scalable infrastructure infrastructure combined with the deployment characteristics of large models and knowledge base services, and ensure the performance and stability of AI services in different scenarios
Responsible for the overall planning and evolution of the company's DevOps system, continuously optimize the CI/CD process, container cloud platform and observability system combined with business development needs, and improve the R&D delivery efficiency of the whole company
Connect with business and AI R&D teams, deeply understand user requirements, plan platform function iteration as a whole, balance technical input and business value, and ensure platform service experience and stability
Track cutting-edge technologies in the AI-DevOps field, introduce appropriate technologies and practices, and promote the continuous upgrading of the company's engineering efficiency system and AI R&D capabilities
Soft Skill Requirements
Strong sense of service assurance and business responsibility, able to coordinate the stability assurance of production and AI services from the perspective of the company's overall business, and establish a sound fault response and emergency handling mechanism
Clear user experience thinking, able to continue to polish DevOps tools and services based on the needs of AI R&D teams and business R&D teams, and improve the overall satisfaction of R&D teams
Excellent project management and cross-departmental communication skills, able to coordinate multi-party resources to promote the implementation of large-scale AI engineering and containerization transformation projects, and balance the needs of different business lines and team capacity
Excellent team training capabilities, able to build a well-structured DevOps technical team with outstanding AI engineering capabilities, and create an open and progressive technical culture
