Staff+ Software Engineer, Observability

About Anthropic We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Anthropic

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.

A

anthropic.com

501-1,000 employees

Research Services

Privately Held

5M LinkedIn followers

Raised $128.7B

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
• Build observability solutions that give engineers 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 up 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 the unique needs of each organization

Required

• 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, the network stack, or the hardware
• Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities
• Ability to work independently on ambiguous, high-impact technical challenges

Preferred

• 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 (e.g., ClickHouse, BigQuery) for analytics workloads
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
• Enthusiasm for building foundational infrastructure
• The annual compensation range for this role is listed below.
• For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
• Annual Salary
• $320,000—$485,000 USD
• Logistics
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
• How we're different
• We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
• The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
• Come work with us!
• Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• Competitive compensation
• Equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours