Staff+ Software Engineer, Observability

Details

Anthropic is seeking Software Engineers to join its Observability team within the Infrastructure organization. The team owns monitoring and telemetry infrastructure used across Anthropic, including metrics and logging pipelines, distributed tracing, profiling, error analytics, alerting, dashboards, and query interfaces.

The role focuses on building next-generation observability systems for large GPU, TPU, and Trainium clusters, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across multi-cluster infrastructure.
• Build observability solutions that provide deep, low-overhead visibility into system behavior across the fleet.
• Own and evolve core observability platforms, leading 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 to application traces, unified query interfaces, and AI-assisted diagnostic tooling.
• Improve 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 organizational needs.

Requirements

• Experience building and operating large-scale observability or monitoring infrastructure.
• Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis.
• Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale.
• Comfort debugging below the application layer, in the kernel, network stack, or hardware.
• Excellent communication skills and the ability to partner with internal teams to improve operational visibility and incident response capabilities.
• Ability to work independently on ambiguous, high-impact technical challenges.
• Bachelor's degree or an equivalent combination of education, training, and experience. The field of study must be relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility.
• Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization.
• Kernel- and syscall-level debugging experience and performance engineering skills.
• Experience profiling or instrumenting accelerator workloads.
• Experience operating metrics systems at very high cardinality or large-scale telemetry storage backends.
• Experience with log storage migrations or operating columnar databases such as ClickHouse or BigQuery for analytics workloads.
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies.
• Interest in applying AI and LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting.
• Enthusiasm for building foundational infrastructure.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration. The role follows a location-based hybrid policy, with staff expected to be in an Anthropic office at least 25% of the time. Anthropic sponsors visas and retains an immigration lawyer to assist with the process, although sponsorship is not guaranteed for every role or candidate.