Staff Software Engineer, Observability & Profiling (AI)

Location: London, UK; hybrid policy requires staff to work from one of the offices at least 25% of the time.

Annual salary: £325,000–£390,000 GBP.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across multi-cluster infrastructure.
• Develop low-overhead observability solutions, instrumentation libraries, SDKs, and eBPF-based auto-instrumentation.
• Own observability platforms and drive migrations and architectural improvements that increase reliability, reduce cost, and support growth.
• Build cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tools to reduce detection and resolution times.
• Turn continuous profiling and utilization telemetry into optimization insights across CPU, memory, and accelerator fleets.
• Partner with Research, Inference, Product, and Infrastructure teams to improve operational visibility and incident response.

Requirements

• Hands-on experience building and operating large-scale observability or monitoring infrastructure.
• End-to-end experience with observability signals, from instrumentation and ingest through querying and analysis.
• Understanding of high-throughput telemetry pipelines and large-scale operational data storage and querying tradeoffs.
• Ability to investigate below the application layer, including the kernel, network stack, and hardware.
• Strong communication skills and the ability to work independently and with cross-functional teams.
• Bachelor’s degree or equivalent education, training, or relevant experience.

Nice to have

• 10+ years of relevant industry experience.
• Production experience with eBPF observability, continuous profiling, kernel and syscall debugging, or performance engineering.
• Experience profiling accelerator workloads or operating high-cardinality metrics systems and large-scale telemetry storage backends.
• Experience with OpenTelemetry, collector pipelines, and tail-based sampling.
• Interest in applying AI and LLMs to root cause analysis, anomaly detection, or intelligent alerting.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Flexible working hours and an office-focused hybrid environment.
• Generous vacation and parental leave.
• Competitive compensation, benefits, and optional equity donation matching.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.