Observability Software Engineer - rednote
On-sitePalo Alto, California, United States
Palo Alto, California, United StatesOn-siteFull TimeSenior LevelBachelors DegreeSmall
Full TimeSenior LevelBachelors DegreeSmall
Job Summary
Conduct end-to-end R&D of observability infrastructure across Metrics, Logging, Tracing, and Profiling pillars. Drive technical architecture for monitoring platforms, distributed tracing, log services, compute engines, and eBPF-based technologies. Ensure high performance and availability under high-concurrency conditions while supporting multi-region environments, data compliance, and continuous iteration. Develop AI Infra, AI application, and AI-powered observability capabilities to enhance stability and efficiency in AI scenarios.
Required Qualifications
- Bachelor's degree or above in a relevant field
- 3+ years of relevant work experience in computer science
- Proficient in Java or Go
- solid foundation in concurrent programming
- solid foundation in distributed systems
- solid foundation in performance optimization
- 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
- Familiar with foundational open-source components such as Linux, networking, storage, and message queues
- Fluent in both English and Chinese (spoken and written)
Desired Qualifications
- deep understanding of implementation principles
- Familiarity with AI-related technologies including but not limited to: PyTorch, Spring AI, Langfuse, LLM-based tooling
- Strong problem-solving, communication, and cross-team collaboration skills
- eager to learn and stay current with industry trends
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