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  <jobs>
    <job>
      <externalid>f70dd4a2-526</externalid>
      <Title>Staff+ Software Engineer, Observability</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organisation. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic&#39;s multi-cluster infrastructure</li>
<li>Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth</li>
<li>Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services</li>
<li>Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise</li>
<li>Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling</li>
<li>Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation</li>
</ul>
<p><strong>You May Be a Good Fit If You:</strong></p>
<ul>
<li>Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure</li>
<li>Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others</li>
<li>Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale</li>
<li>Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems</li>
<li>Have strong proficiency in at least one of Python, Rust, or Go</li>
<li>Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities</li>
<li>Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges</li>
</ul>
<p><strong>Strong Candidates May Also Have:</strong></p>
<ul>
<li>Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)</li>
<li>Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads</li>
<li>Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies</li>
<li>Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale</li>
<li>Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling</li>
<li>Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>
<li>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.</li>
<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>
</ul>
<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>
<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.</strong></p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$405,000 - $485,000 USD</Salaryrange>
      <Skills>observability, metrics, logging, tracing, error analytics, alerting, SLO infrastructure, cross-signal correlation, unified query interfaces, AI-assisted diagnostic tooling, Python, Rust, Go, Prometheus, Grafana, ClickHouse, OpenTelemetry, OpenTelemetry instrumentation, collector pipelines, tail-based sampling strategies, Kubernetes-native monitoring, eBPF-based observability, continuous profiling, AI/LLMs, automated root cause analysis, anomaly detection, intelligent alerting</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a quickly growing organisation with a mission to create reliable, interpretable, and steerable AI systems. The company&apos;s team consists of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5139910008</Applyto>
      <Location>San Francisco, CA | New York City, NY | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
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