Observability Software Engineer - rednote

re-zoo-me; Palo Alto, Northern (CA, KY); Hybrid; USD 200,000 - 400,000; Full time

Job summary

Rednote seeks an experienced observability engineer to drive end-to-end R&D across Metrics, Logging, Tracing, and Profiling, building robust full‑stack observability infrastructure.

You will influence architectural design of monitoring platforms, AI observability features, and multi-region deployments while collaborating across teams. Fluency in English and Chinese is valued.

Qualifications

• Bachelor's degree or higher in a relevant field with 3+ years of CS experience.
• Proficiency in Java or Go and strong knowledge of concurrency, distributed systems, and performance optimization.
• Experience with cloud-native observability products and open-source components.

Responsibilities

• Contribute to end-to-end R&D of the observability platform across Metrics, Logging, Tracing, and Profiling.
• Shape architecture and product design for monitoring platforms, distributed tracing, log services, and AI observability.
• Ensure high performance and availability under high concurrency; drive stability for multi-region environments.
• Develop AI Infra observability and AI-powered observability capabilities to improve stability and usability.

Skills

Java

Go

Concurrent programming

Distributed systems

Performance optimization

Kubernetes

Education

Bachelor's degree or higher in computer science

Tools

OpenTelemetry

CAT

SkyWalking

Prometheus

VictoriaMetrics

ELK

ClickHouse

eBPF

Kubernetes

Job description

About Rednote

rednote is one of the world's most trusted platforms, where over 350 million people share how they actually live, travel, create, and discover. In a world of infinite content, what sets rednote apart is its source: real human experience, honestly lived and generously shared — one note at a time. We are now writing our global chapter, and this team is at the forefront.

What You'll Do

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

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).

The Pay Range For This Role Is

200,000 - 400,000 USD per year(Palo Alto, CA)