SummaryDo you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple
Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:RD China Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:01.09.2026 Veröffentlichungsdatum:07.08.2026 Stellennummer:MER00046VV Arbeitszeit:Vollzeit Bewerben Aufgaben Objectives: Build and continuously optimise an industry‑leading Software Engineering Mgmt. System. for Mercedes-Benz RD
Key responsibilities The Cloud and Data Engineer will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&D units across Novo Nordisk, both on-premises and in the
Who Are We? RZR is an AI-native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more
你将负责什么 1. 定义 Kimi 业务的稳定性 「稳」是什么、稳到什么程度、怎么衡量——在 Kimi，这些问题的答案由你来写。Kimi 业务正在高速发展，模型高频发布、产品形态快速演进：你不只是在维护一套静态系统，而是深入快速变化的 AI 架构与产品演进路线，在真正的前沿场景里定义可靠性。 与研发团队共建 SLO / SLI 体系，在可用性、延迟与迭代速度之间取得平衡，让可靠性目标与业务影响直接挂钩。 建立信号清晰的告警体系：分级、降噪，实现故障的分钟级发现与精准定位。 主导故障响应与复盘：快速恢复、彻底复盘、系统性改进——让团队从每一次故障中学到东西，确保同类问题不重复发生。 2. 发布工程与变更安全 为高频模型发布与产品迭代设计安全变更框架：灰度、金丝雀、自动回滚、变更可观测性，把「变更导致故障」的概率降至最低。 护航关键发布：发布前 readiness 评估（容量、依赖、回滚路径），发布中值守，发布后复盘。 把发布 runbook 沉淀为工具与流水线，把手工核验变成持续校验——每一次发布，都让 checklist 更短。 3. 可观测性与可靠性工程 与研发共建统一的 Telemetry 标准（Metrics / Logs /
Join our Team AI-Native Development Intern We build AI-native quality engineering and digital workforce solutions. You will work with experienced engineers to develop AI agents, automation tools, and intelligent workflows that improve software quality, delivery efficiency, and