Responsibilities
- 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
Requirements
- 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
- Understand 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
- Excited about building foundational infrastructure and are comfortable 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
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space in which to collaborate with colleagues
Additional Information
- Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
- Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
