小红书可观测技术研发-国际化

任职要求

1、全日制统招本科及以上学历，3 年及以上计算机相关工作经验；
2、精通 Java 或 Go 语言，熟悉并发编程、分布式系统、性能优化等，有扎实的编程基础；
3、熟悉云原生可观测性体系的相关产品及组件，包括不仅限于：OpenTelemetry、CAT、SkyWalking、Prometheus、VictoriaMetrics、ELK、ClickHouse、eBPF 等，了解 Kubernetes 基本原理并能运用；
4、熟悉基础技术开源组件，如 Linux、网络、存储、MQ 等，深入了解细节，掌握实现原理优先；
5、加分项：熟悉和使用 AI 场景相关技术，包括不仅限于：PyTorch、Spring AI、Langfuse、OpenClaw 等。
6、善于发现、解决问题，善于总结、思考、跨团队协作；关注业界新技术，好奇求知，有强烈的责任心及抗压能力；
7、中英文流利，能够在国际化团队环境中进行技术沟通与协作；

1、Bachelor's degree or above in a relevant field; 3+ years of relevant work experience in computer science.
2、Proficient in Java or Go; solid foundation in concurrent programming, distributed systems, and performance optimization.
3、Familiar with cloud-native observabili…

工作职责

1、负责可观测体系研发工作，围绕 Metrics、Logging、Tracing、Profiling 四大支柱，从全栈领域展开可观测基础能力建设；
2、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 等可观测相关技术架构及产品设计；
3、保障可观测相关基础服务，在高并发环境下的高性能、高可用，推动技术、产品持续优化迭代，支撑国内和海外可观测架构设计、数据合规、基建稳定性保障等工作；
4、落地 AI Infra 可观测、AI 应用可观测、可观测 AI+ 等相关技术，提高 AI 场景稳定性以及传统可观测产品使用体验和效率。

1、Participate in the end-to-end R&D of the observability platform across all four pillars — Metrics, Logging, Tracing, and Profiling — building full-stack observability infrastructure capabilities.
2、Drive the technical architecture and product design of monitoring platforms, distributed tracing, log services, compute engines (streaming analysis, real-time alerting, time-series anomaly detection, etc.), alerting systems, and eBPF-based observability technologies.
3、Ensure high performance and high availability of observability infrastructure under high-concurrency conditions. Drive continuous technical and product iteration to support observability architecture design, data compliance, and infrastructure stability for the multi-region environments.
4、Develop and implement  AI Infra observability, AI application observability, and AI-powered observability capabilities to improve stability in AI scenarios and enhance the usability and efficiency of traditional observability products.