# Staff Software Engineer, Observability & Profiling at Anthropic

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and build scalable telemetry inge

- **Company:** Anthropic (https://jobs.trythestack.co/companies/anthropic)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Observability, Telemetry, Distributed tracing, Profiling, eBPF, Kernel debugging, Performance engineering, OpenTelemetry, Infrastructure engineering, System architecture, Metrics, Logging, Scalability, Accelerator optimization, Data correlation
- **Posted by employer:** 2026-09-02
- **Added to The Stack:** 2026-09-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5412272008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-software-engineer-observability-profiling-anthropic

## About the role

Responsibilities:
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across multi-cluster infrastructure.
- Build low-overhead observability solutions (continuous profiling, eBPF tracing, network visibility) that surface root causes from kernel/accelerator to application.
- Own and evolve core observability platforms, driving migrations, cost/reliability improvements, and platform-wide instrumentation.
- Create instrumentation libraries, SDKs, and auto-instrumentation (including eBPF) to emit high-quality telemetry without heavy code changes.
- Implement cross-signal correlation and unified query interfaces to reduce mean time to detection and resolution.
- Partner with Research, Inference, Product, and Infrastructure teams to tailor observability for GPU/TPU/Trainium workloads and fleet efficiency.

Requirements:
- Hands-on experience building and operating large-scale observability or monitoring infrastructure.
- Deep familiarity with telemetry signals end-to-end: instrumentation, ingest, storage, query, and analysis (metrics, logs, traces, profiles).
- Experience with high-throughput telemetry pipelines, sampling strategies, and trade-offs for storage and query cost vs. fidelity.
- Practical knowledge of eBPF, kernel-level debugging, continuous profiling, and accelerator telemetry is highly desirable.
- Strong system-design and performance-engineering skills, plus experience collaborating across research and infrastructure teams.
- Ability to deliver production-grade tooling that scales across large multi-cluster deployments and reduces operational toil.

## Responsibilities

Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across multi-cluster infrastructure. Partner with research and engineering teams to provide deep system visibility and drive fleet-wide efficiency through continuous profiling.

## Requirements

Requires hands-on experience building large-scale observability infrastructure and deep knowledge of telemetry signals from instrumentation to analysis. Candidates should be comfortable working below the application layer, including kernel and network stack debugging.

## FAQ

- **Is this Staff Software Engineer, Observability & Profiling role still open?** It was posted on 2026-09-02. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.
- **Does Anthropic offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Observability, Telemetry, Distributed tracing, Profiling, eBPF, Kernel debugging, Performance engineering, OpenTelemetry, Infrastructure engineering, System architecture, Metrics, Logging, Scalability, Accelerator optimization, Data correlation.

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