腾讯腾讯云大数据-AI Native Data Infra平台关键技术研究

负责阿里集团、阿里云战略级产品SLS研发，在日增数百PB级的超大规模实时数据之上，挑战从“经典可观测性”向“AI Native 基建”的跨越。通过实时采集、索引、存储、语义检索和分析等技术，实时处理每日数百PB海量数据，并针对AI应用场景进行特定优化，提供智能、自动化数据检索和分析服务。加入该岗位，您将有机会在国内超大规模的实时日志平台上，打造新一代的AI基础设施。 1.定义下一代 AI 数据基座： 基于现有海量日志平台，重构面向 Agent Runtime 的数据基础设施，解决高吞吐写入与低延迟语义检索共存的工程难题； 2.构建 Data + AI 飞轮： 研发高性能的数据清洗与向量化流水线，从数据中实时化萃取高质量数据，构建AI存储和检索系统，通过构建数据反馈回路，使模型和Agent持续进化； 3.超大规模系统攻坚： 维护并演进日处理百 PB 级数据的实时平台，在极致的成本与性能约束下，探索存算分离、混合索引等前沿技术落地。

负责阿里集团、阿里云战略级产品SLS研发，在日增数百PB级的超大规模实时数据之上，挑战从“经典可观测性”向“AI Native 基建”的跨越。通过实时采集、索引、存储、语义检索和分析等技术，实时处理每日数百PB海量数据，并针对AI应用场景进行特定优化，提供智能、自动化数据检索和分析服务。加入该岗位，您将有机会在国内超大规模的实时日志平台上，打造新一代的AI基础设施。 1. 定义下一代 AI 数据基座： 基于现有海量日志平台，重构面向 Agent Runtime 的数据基础设施，解决高吞吐写入与低延迟语义检索共存的工程难题； 2. 构建 Data + AI 飞轮： 研发高性能的数据清洗与向量化流水线，从数据中实时化萃取高质量数据，构建AI存储和检索系统，通过构建数据反馈回路，使模型和Agent持续进化； 3. 超大规模系统攻坚： 维护并演进日处理百 PB 级数据的实时平台，在极致的成本与性能约束下，探索存算分离、混合索引等前沿技术落地。

• Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer—sharing insights and removing blockers through collaboration with Microsoft engineering teams. • Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF. • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. • Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, SAP, and AI workloads. • Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases. • Deliver repeatable IP and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. • Identify and resolve technical blockers to accelerate go-live and ensure delivery excellence across key Factory engagements. • Generate incremental pipeline from each engagement by driving next best actions and aligning with Unified Enterprise Support (ES) priorities. • Maintain technical intensity through continuous skilling and certifications in priority workloads such as Azure SQL, PostgreSQL, AKS, App Service, AVS, SAP (Native + RISE), Windows, Linux and Defender for Cloud. • Engage in technical communities, share best practices, and contribute to knowledge reuse to accelerate customer transformation and success.

OceanBase is looking for a Content Marketing expert who understands both product technology and technical storytelling. In this role, you will work alongside a world-class distributed database team, transforming cutting-edge underlying innovations—such as Distributed Systems, Unified Architecture, and AI Native Data Infrastructure—into technical influence that resonates with Silicon Valley and global markets. Every piece of content you create could appear on the front page of Hacker News or Reddit, impacting global developers and technology decision-makers at Fortune 500 companies. 1、Lead the creation of technical content, including blog posts, case studies, scenario value stories, product announcements, ensuring all content is professional, clear, and shareable. 2、Collaborate with product, engineering, and developer advocacy teams to extract core messaging and translate it into content that developers enjoy and decision-makers understand, while producing globally deployable GTM marketing assets. 3、Manage social channels such as Twitter (X) and LinkedIn, plan and publish content, and actively participate in discussions and interactions on developer communities like Hacker News and Reddit to increase engagement within the developer ecosystem. 4、Maintain relationships with key technical media and KOLs to drive collaborative reviews, technical events, podcast interviews, and other industry-shaping initiatives.