Staff Software Engineer, Observability & Profiling at Anthropic
May no longer be active — verify on the employer site
At a glance
- Company
- Anthropic
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 10+ years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Anthropic job
- 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Anthropic if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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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.
Key skills
- Observability — in 300 other listings on The Stack
- Telemetry — in 13 other listings on The Stack
- Distributed tracing — not in any other listing on The Stack
- Profiling — in 14 other listings on The Stack
- eBPF — in 7 other listings on The Stack
- Kernel debugging — not in any other listing on The Stack
- Performance engineering — in 4 other listings on The Stack
- OpenTelemetry — in 38 other listings on The Stack
- Infrastructure engineering
- System architecture
- Metrics
- Logging
- Scalability
- Accelerator optimization
- Data correlation
On The Stack (as of 2026-11-03)
Frequently asked questions about Anthropic
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.