Staff Software Engineer, Observability & Profiling

Location: London, UK. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time; some roles may require more office attendance.

Annual salary: £325,000–£390,000 GBP.

Company

Anthropic builds reliable, interpretable, and steerable AI systems through large-scale research and infrastructure development.

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 and evolve observability platforms, leading migrations and architectural improvements that increase reliability, reduce cost, and support organizational growth.
• Build cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling spanning kernel events and application traces.
• Use continuous profiling and utilization telemetry to optimize CPU, memory, and accelerator fleets.
• Partner with Research, Inference, Product, and Infrastructure teams on operational visibility and incident response.

Requirements

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

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 and large-scale telemetry storage systems.
• Experience with OpenTelemetry, collector pipelines, and tail-based sampling.
• Interest in applying AI or LLMs to root-cause analysis, anomaly detection, or intelligent alerting.

Culture & Benefits

• Collaborative environment focused on high-impact AI research and trustworthy AI systems.
• Flexible working hours and office collaboration.
• Competitive compensation, equity donation matching, vacation, and parental leave.
• Visa sponsorship may be available, with immigration lawyer support, depending on the role and candidate.