Anthropic is seeking a Staff Software Engineer for its Observability team within the Infrastructure organization. The role focuses on designing and building scalable telemetry ingest and storage pipelines, building observability solutions, owning core platforms, creating instrumentation libraries and eBPF‑based auto‑instrumentation, reducing mean time to detection, driving profiling insights, and partnering with multiple internal teams.
Staff Software Engineer, Observability & Profiling na Anthropic
Híbrido - London, UK
Ver mais vagas na AnthropicSalary
GBP 325,000 - 390,000
Requirements
Skills
- Hands‑on experience building and operating large‑scale observability or monitoring infrastructure
- Deep, hands‑on experience with observability signals end to end—from instrumentation through ingest to query and analysis
- Understanding of high‑throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
- Comfortable digging below the application layer into the kernel, network stack, or hardware
- Excellent communication skills and ability to partner with internal teams
- Excitement about building foundational infrastructure and navigating ambiguous, high‑impact technical challenges
- 10+ years of relevant industry experience building and operating large‑scale observability or monitoring infrastructure
- Experience building or operating eBPF‑based observability in production (tracing, profiling, or network visibility)
- Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization
- Kernel‑ and syscall‑level debugging experience and performance engineering craft
- Experience profiling or instrumenting accelerator workloads
- Experience operating metrics systems at very high cardinality, or large‑scale telemetry storage backends
- Experience with OpenTelemetry instrumentation, collector pipelines, and tail‑based sampling strategies
- Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
Responsibilities
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi‑cluster infrastructure
- Build observability solutions that give engineers deep, low‑overhead visibility into system behavior across the fleet
- 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 eBPF‑based auto‑instrumentation to emit high‑quality telemetry, with and without code changes
- Reduce mean time to detection and resolution by building cross‑signal correlation—from kernel‑level events up to application traces—unified query interfaces, and AI‑assisted diagnostic tooling
- Drive fleet‑wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
- Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
Technologies
eBPFOpenTelemetryTelemetry pipelinesDistributed tracingProfilingNetwork visibilityAI‑assisted diagnostic toolingMetrics systemsLog pipelinesTrace ingestionTail‑based sampling strategies
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