小红书(xiaohongshu)招聘可观测性技术研发-rednote
招聘职位：
可观测性技术研发-rednote 搜索同类职位
岗位职责：
主要职责：
负责可观测性体系的研发工作，围绕指标、日志、追踪、性能剖析四大支柱，开展全栈领域的基础能力建设。
负责监控平台、全链路追踪、日志服务、计算引擎（流式分析、实时告警、时序检测等）、告警、eBPF等相关技术架构及产品设计。
保障可观测性基础服务在高并发环境下的高性能与高可用性，并推动相关技术与产品的持续优化迭代。
落地AI基础设施可观测、AI应用可观测、以及“可观测性AI+”等前沿技术方向，提升AI场景的稳定性，并优化传统可观测性产品的使用体验和效率。
Key Responsibilities:
Lead the development of observability systems, building foundational capabilities across the full technology stack based on the four pillars: Metrics, Logging, Tracing, and Profiling.
Design and architect observability-related platforms and services, including monitoring systems, distributed tracing, log services, computing engines (for stream processing, real-time alerting, time-series detection), alerting mechanisms, and eBPF-based solutions.
Ensure high performance and availability of core observability services in high-concurrency environments, while continuously driving technology and product optimization.
Implement cutting-edge observability solutions for AI infrastructure and AI applications (including "Observability AI+"), enhancing AI system stability and improving the user experience and efficiency of traditional observability products.
任职要求：
任职要求：
拥有计算机科学或相关专业的学士及以上学历，具备3年及以上相关领域工作经验。
精通Java或Go语言，熟悉并发编程、分布式系统及性能优化，具备扎实的编程功底和良好的系统设计能力。
熟悉云原生可观测性领域的主流产品和组件，包括但不限于：OpenTelemetry、Prometheus、VictoriaMetrics、ELK/EFK、SkyWalking、ClickHouse、eBPF等，并了解Kubernetes的基本原理及应用。
熟悉Linux操作系统、网络、存储、消息队列等基础开源组件，对其实现原理有深入了解者优先。
熟悉或使用过AI相关技术栈，例如：PyTorch、LLaMA-Factory、Spring AI、Langfuse、wandb（Weights & Biases）等，对AI场景的可观测性有实践经验者尤佳。
具备出色的问题发现与解决能力，善于总结和思考。拥有优秀的跨团队协作能力、强烈的责任心和抗压能力，能适应快节奏的国际化工作环境。对新技术的求知欲和好奇心旺盛。
能够在英文工作环境中进行有效沟通（书面及口语），与全球团队顺畅协作。
优先新加坡公民/PR。
Qualifications:
Bachelor's degree or higher in Computer Science or related field, with 3+ years of relevant work experience.
Proficiency in Java or Go, with expertise in concurrent programming, distributed systems, and performance optimization. Solid programming skills and strong system design capabilities.
Familiarity with mainstream cloud-native observability products and components, including but not limited to: OpenTelemetry, Prometheus, VictoriaMetrics, ELK/EFK, SkyWalking, ClickHouse, eBPF, with practical knowledge of Kubernetes fundamentals and applications.
Strong understanding of foundational open-source components including Linux OS, networking, storage, and message queues. Deep knowledge of implementation principles is preferred.
Experience with AI-related technology stacks such as PyTorch, LLaMA-Factory, Spring AI, Langfuse, wandb (Weights & Biases) is advantageous. Practical experience in AI observability scenarios is highly valued.
Excellent problem identification and resolution skills, with strong analytical and summarization abilities. Outstanding cross-team collaboration, strong sense of responsibility, and ability to work under pressure in a fast-paced international environment. Curiosity and passion for exploring new technologies.
Ability to communicate effectively in English (both written and spoken) and collaborate seamlessly with global teams.
Priority given to Singapore citizens and PRs.
主要职责：
负责可观测性体系的研发工作，围绕指标、日志、追踪、性能剖析四大支柱，开展全栈领域的基础能力建设。
负责监控平台、全链路追踪、日志服务、计算引擎（流式分析、实时告警、时序检测等）、告警、eBPF等相关技术架构及产品设计。
保障可观测性基础服务在高并发环境下的高性能与高可用性，并推动相关技术与产品的持续优化迭代。
落地AI基础设施可观测、AI应用可观测、以及“可观测性AI+”等前沿技术方向，提升AI场景的稳定性，并优化传统可观测性产品的使用体验和效率。
Key Responsibilities:
Lead the development of observability systems, building foundational capabilities across the full technology stack based on the four pillars: Metrics, Logging, Tracing, and Profiling.
Design and architect observability-related platforms and services, including monitoring systems, distributed tracing, log services, computing engines (for stream processing, real-time alerting, time-series detection), alerting mechanisms, and eBPF-based solutions.
Ensure high performance and availability of core observability services in high-concurrency environments, while continuously driving technology and product optimization.
Implement cutting-edge observability solutions for AI infrastructure and AI applications (including "Observability AI+"), enhancing AI system stability and improving the user experience and efficiency of traditional observability products.
任职要求：
任职要求：
拥有计算机科学或相关专业的学士及以上学历，具备3年及以上相关领域工作经验。
精通Java或Go语言，熟悉并发编程、分布式系统及性能优化，具备扎实的编程功底和良好的系统设计能力。
熟悉云原生可观测性领域的主流产品和组件，包括但不限于：OpenTelemetry、Prometheus、VictoriaMetrics、ELK/EFK、SkyWalking、ClickHouse、eBPF等，并了解Kubernetes的基本原理及应用。
熟悉Linux操作系统、网络、存储、消息队列等基础开源组件，对其实现原理有深入了解者优先。
熟悉或使用过AI相关技术栈，例如：PyTorch、LLaMA-Factory、Spring AI、Langfuse、wandb（Weights & Biases）等，对AI场景的可观测性有实践经验者尤佳。
具备出色的问题发现与解决能力，善于总结和思考。拥有优秀的跨团队协作能力、强烈的责任心和抗压能力，能适应快节奏的国际化工作环境。对新技术的求知欲和好奇心旺盛。
能够在英文工作环境中进行有效沟通（书面及口语），与全球团队顺畅协作。
优先新加坡公民/PR。
Qualifications:
Bachelor's degree or higher in Computer Science or related field, with 3+ years of relevant work experience.
Proficiency in Java or Go, with expertise in concurrent programming, distributed systems, and performance optimization. Solid programming skills and strong system design capabilities.
Familiarity with mainstream cloud-native observability products and components, including but not limited to: OpenTelemetry, Prometheus, VictoriaMetrics, ELK/EFK, SkyWalking, ClickHouse, eBPF, with practical knowledge of Kubernetes fundamentals and applications.
Strong understanding of foundational open-source components including Linux OS, networking, storage, and message queues. Deep knowledge of implementation principles is preferred.
Experience with AI-related technology stacks such as PyTorch, LLaMA-Factory, Spring AI, Langfuse, wandb (Weights & Biases) is advantageous. Practical experience in AI observability scenarios is highly valued.
Excellent problem identification and resolution skills, with strong analytical and summarization abilities. Outstanding cross-team collaboration, strong sense of responsibility, and ability to work under pressure in a fast-paced international environment. Curiosity and passion for exploring new technologies.
Ability to communicate effectively in English (both written and spoken) and collaborate seamlessly with global teams.
Priority given to Singapore citizens and PRs.
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