10 hours ago
Base Salary
$320k - $485k/yr
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 that provide deep fleet-wide visibility into system behavior.
- Own observability platforms and lead migrations and architectural improvements that improve reliability, reduce cost, and scale with growth.
- Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation with and without application code changes.
- Develop cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling to reduce detection and resolution times.
- 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
- Experience building and operating large-scale observability or monitoring infrastructure.
- Hands-on experience with observability signals from instrumentation through ingest, querying, and analysis.
- Understanding of high-throughput telemetry pipeline tradeoffs for collecting, storing, and querying operational data at scale.
- Ability to debug below the application layer in the kernel, network stack, or hardware.
- Strong communication skills and ability to partner with internal teams on operational visibility and incident response.
- Ability to work independently on ambiguous, high-impact technical challenges.
- Preferred: production experience with eBPF-based tracing, profiling, or network visibility.
- Preferred: fleet-scale continuous profiling, overhead-budget management, and symbolization experience.
- Preferred: kernel and syscall debugging, performance engineering, accelerator workload profiling or instrumentation, high-cardinality metrics, telemetry storage backends, log storage migrations, columnar databases, OpenTelemetry, collector pipelines, and tail-based sampling.
- Preferred: interest in applying AI or LLMs to root cause analysis, anomaly detection, or intelligent alerting.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field or demonstrated through relevant coursework, training, or professional experience.
Benefits
- Hybrid policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Visa sponsorship is offered with reasonable efforts made after an offer, subject to role and candidate eligibility.
Tech Stack
ClickHouseGoogle BigQuery
Categories
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.