Staff Observability Engineer: Profiling & Telemetry

AI Startups UK; Greater London; Hybrid; GBP 325,000 - 390,000; Full time

Benefits offered by this job

Office space

Flexible working hours

Generous vacation

Parental leave

Visa sponsorship available

Job summary

Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The role focuses on designing scalable telemetry pipelines, advanced tracing, profiling, and AI-assisted diagnostics to improve reliability across GPU, TPU, and Trainium clusters.

You will own observability platforms, build instrumentation libraries and eBPF-based tooling, and partner with Research, Inference, Product, and Infrastructure teams to deliver low-latency, high-signal

Qualifications

• Have hands-on experience building and operating large-scale observability or monitoring infrastructure.
• Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis.
• Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale.
• Are comfortable digging below the application layer into the kernel, the network stack, or the hardware.
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities.
• Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team.

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

Skills

Observability infrastructure

Telemetry pipelines

Kernel/network debugging

Cross-team collaboration

OpenTelemetry

AI in ops

Education

Bachelor's degree

Tools

eBPF

OpenTelemetry

Profiling tools

Job description

Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The role focuses on designing scalable telemetry pipelines, advanced tracing, profiling, and AI-assisted diagnostics to improve reliability across GPU, TPU, and Trainium clusters.

You will own observability platforms, build instrumentation libraries and eBPF-based tooling, and partner with Research, Inference, Product, and Infrastructure teams to deliver low-latency, high-signal