Anthropic is seeking a Software Engineer to join our Observability team within the Infrastructure organization. You will own the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, having a direct impact on the reliability and operational excellence of our research and product systems.

What You'll Do

Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure.
Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth.
Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services.
Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise.
Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling.
Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization.

What We're Looking For

10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure.
Deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others.
Understanding of high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale.
Experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems.
Strong proficiency in at least one of Python, Rust, or Go.
Excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities.
Excitement about building foundational infrastructure and comfort working independently on ambiguous, high-impact technical challenges.

Nice to Have

Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more).
Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads.
Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies.
Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale.
Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling.
Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting.