Hiring: Observability Software Engineer - rednote Company: rednote Location: Palo Alto, CA Job Posted Time: 2026-09-10 12:47:01 Target Skills & Keywords : ClickHouse, Compute Engine, ELK Stack, Java, Kubernetes, LLM, Linux, OpenTelemetry, Prometheus, PyTorch, R, Spring About the job Experience: •3+ years of relevant work experience in computer science. Required Skills: •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, 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 Qualifications: •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 observability products and components, including but not limited to: OpenTelemetry, CAT, SkyWalking, Prometheus, VictoriaMetrics, ELK, ClickHouse, eBPF; working knowledge of Kubernetes and its fundamentals. •4、Familiar with foundational open-source components such as Linux, networking, storage, and message queues; deep understanding of implementation principles preferred. •5、Bonus: Familiarity with AI-related technologies including but not limited to: PyTorch, Spring AI, Langfuse, LLM-based tooling. •6、Strong problem-solving, communication, and cross-team collaboration skills; eager to learn and stay current with industry trends. •7、Fluent in both English and Chinese (spoken and written). •200,000 - 400,000 USD per year(Palo Alto, CA) Compensation: •5、Bonus: Familiarity with AI-related technologies including but not limited to: PyTorch, Spring AI, Langfuse, LLM-based tooling Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!