320K–485K USD / year

Staff+ Software Engineer, Observability

OtherHybrid — San Francisco, CA | New York City, NY | Seattle, WA
Published on 2026-10-08
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Anthropic is looking for a Software Engineer to join the Observability team, responsible for building and maintaining crucial monitoring and telemetry infrastructure. The role involves enhancing operational visibility and developing tools to detect and resolve issues quickly across large-scale systems.

About the company

Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.

The team

Observability team within the Infrastructure organization

Stack

eBPFtelemetry pipelinesinstrumentation librariesSDKsprofilingerror analytics

What you'll do

  • Design and build telemetry pipelines for metrics, logs, and traces
  • Create observability solutions for system behavior visibility
  • Lead migrations and architectural improvements
  • Build instrumentation libraries and auto-instrumentation tools
  • Develop cross-signal correlation and diagnostic tooling
  • Improve fleet-wide efficiency through profiling and telemetry

What we're looking for

  • Experience with large-scale observability infrastructure
  • Hands-on experience with observability signals
  • Understanding of telemetry pipeline tradeoffs
  • Debugging skills below the application layer
  • Excellent communication skills
  • Ability to work independently on ambiguous challenges

Nice to have

  • Experience with eBPF-based observability
  • Continuous profiling at fleet scale
  • Kernel-level debugging experience
  • Instrumenting accelerator workloads
  • Operating high cardinality metrics systems
  • Experience with OpenTelemetry
  • Interest in applying AI to operational workflows
View original job post