Observability Software Engineer - rednote

rednote

Palo Alto (CA)

On-site

USD 190,000 - 230,000

Full time

4 days ago
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Job summary

rednote is seeking an experienced engineer to develop and maintain a full-stack observability platform covering metrics, logging, tracing, and profiling. You will drive the architectural direction for monitoring systems and implement AI-powered observability capabilities to enhance system stability.

The role requires a bachelor’s degree and 3+ years of CS experience with Java or Go, plus familiarity with cloud-native observability tools. Fluency in English and Chinese is a strong plus.

Qualifications

  • Requires a bachelor’s degree and 3+ years of experience in computer science.
  • Proficiency in Java or Go is required.
  • Familiarity with cloud-native observability tools and a bilingual English/Chinese capability is preferred.

Responsibilities

  • Develop and maintain a full-stack observability platform covering metrics, logging, tracing, and profiling.
  • Drive the technical architecture for monitoring systems and implement AI-powered observability capabilities.
  • Collaborate across teams to ensure system stability and scalability.

Skills

Java
Go
Distributed Systems
Performance Optimization
Linux
Networking
Storage

Education

Bachelor's degree in Computer Science or related field

Tools

OpenTelemetry
Prometheus
Kubernetes
eBPF
ClickHouse
ELK
Distributed Tracing
AI Observability

Job description

Develop and maintain a full-stack observability platform covering metrics, logging, tracing, and profiling. Drive the technical architecture for monitoring systems and implement AI-powered observability capabilities to enhance system stability.

Requirements:

Requires a bachelor's degree and 3+ years of experience in computer science with proficiency in Java or Go. Candidates should be familiar with cloud-native observability tools and fluent in both English and Chinese.

Key Skills:
  • Java
  • Go
  • OpenTelemetry
  • Prometheus
  • Kubernetes
  • eBPF
  • Distributed Systems
  • Performance Optimization
  • ClickHouse
  • ELK
  • Concurrent Programming
  • AI Observability
  • Distributed Tracing
  • Linux
  • Networking
  • Storage
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