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<source>
  <jobs>
    <job>
      <externalid>67b4ccd7-51d</externalid>
      <Title>Senior Software Engineer, Observability Insights</Title>
      <Description><![CDATA[<p>Join CoreWeave&#39;s Observability team, where we are building the next-generation insights layer for AI systems.</p>
<p>Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights.</p>
<p>As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave&#39;s telemetry layer.</p>
<p>You&#39;ll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways.</p>
<p>Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure.</p>
<p><strong>About the role</strong></p>
<ul>
<li>6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs.</li>
</ul>
<ul>
<li>Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs.</li>
</ul>
<ul>
<li>Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience.</li>
</ul>
<ul>
<li>Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana.</li>
</ul>
<ul>
<li>Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety.</li>
</ul>
<ul>
<li>Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed.</li>
</ul>
<ul>
<li>Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.</li>
</ul>
<p><strong>Preferred</strong></p>
<ul>
<li>Experience operating Kubernetes clusters at scale, especially for AI workloads.</li>
</ul>
<ul>
<li>Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization.</li>
</ul>
<ul>
<li>Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management.</li>
</ul>
<ul>
<li>Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).</li>
</ul>
<p><strong>Why CoreWeave?</strong></p>
<p>At CoreWeave, we work hard, have fun, and move fast!</p>
<p>We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on.</p>
<p>We&#39;re not afraid of a little chaos, and we&#39;re constantly learning.</p>
<p>Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>
<ul>
<li>Be Curious at Your Core</li>
</ul>
<ul>
<li>Act Like an Owner</li>
</ul>
<ul>
<li>Empower Employees</li>
</ul>
<ul>
<li>Deliver Best-in-Class Client Experiences</li>
</ul>
<ul>
<li>Achieve More Together</li>
</ul>
<p>We support and encourage an entrepreneurial outlook and independent thinking.</p>
<p>We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.</p>
<p>As we get set for takeoff, the organization&#39;s growth opportunities are constantly expanding.</p>
<p>You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.</p>
<p>Come join us!</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>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$165,000 to $242,000</Salaryrange>
      <Skills>software engineering, infrastructure engineering, backend systems, distributed APIs, reliability engineering, fault-tolerant design, SLOs, error budgets, multi-tenant system resilience, observability systems, ClickHouse, Loki, VictoriaMetrics, Prometheus, Grafana, agentic applications, LLM-based features, grounding, tool calling, operational safety, Go, Python, Kubernetes, logging, tracing, metrics platforms, cardinality, indexing, query optimization, event streaming, data pipeline management, LLM frameworks, MCP, agent tooling, operating Kubernetes clusters</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4650163006</Applyto>
      <Location>New York, NY / Sunnyvale, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>0310fc87-24d</externalid>
      <Title>Incentive Compensation System Engineer</Title>
      <Description><![CDATA[<p>As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows.</p>
<p><strong>Responsibilities:</strong></p>
<p><strong>ICM Platform Implementation &amp; Configuration</strong></p>
<ul>
<li>Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations</li>
<li>Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs</li>
<li>Design and maintain system workflows for plan changes, exceptions, and adjustments</li>
<li>Develop and execute testing strategies to validate system accuracy before each compensation cycle</li>
<li>Provide technical guidance during plan design discussions, advising on system capabilities and constraints</li>
</ul>
<p><strong>Data Integration &amp; Architecture</strong></p>
<ul>
<li>Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)</li>
<li>Ensure data integrity across the compensation data pipeline, from opportunity data through final payout</li>
<li>Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues</li>
<li>Document data flows, transformation logic, and system dependencies</li>
</ul>
<p><strong>System Administration &amp; Optimization</strong></p>
<ul>
<li>Serve as the primary system administrator for the ICM platform, managing user access, security, and system health</li>
<li>Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time</li>
<li>Monitor system performance and troubleshoot calculation errors or integration failures</li>
<li>Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities</li>
</ul>
<p><strong>Reporting &amp; Analytics</strong></p>
<ul>
<li>Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking</li>
<li>Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals</li>
<li>Enable self-service reporting for compensation administrators and business partners</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>A passion for Anthropic&#39;s mission to build safe, transformative AI systems</li>
<li>5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)</li>
<li>Strong technical skills with experience in SQL, data integration tools, and system configuration</li>
<li>Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations</li>
<li>Experience managing data pipelines and ensuring data quality across integrated systems</li>
<li>Strong problem solving skills with a systematic approach to debugging and root cause analysis</li>
<li>Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders</li>
<li>Bachelor&#39;s degree in a technical or quantitative field preferred</li>
</ul>
<p><strong>Strong candidates may also have:</strong></p>
<ul>
<li>Experience with full ICM platform implementation projects, including vendor selection and data migration</li>
<li>Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)</li>
<li>Experience with Salesforce administration or development</li>
<li>Familiarity with consumption-based compensation models</li>
<li>Experience with Claude Code or other AI-assisted development tools</li>
<li>Background in sales operations, revenue operations, or finance systems</li>
</ul>
<p>The annual compensation range for this role is $190,000 - $270,000 USD.</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>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$190,000 - $270,000 USD</Salaryrange>
      <Skills>ICM platform implementation, SQL, data integration tools, system configuration, data pipeline management, problem solving, documentation, communication, full ICM platform implementation, APIs and integration platforms, Salesforce administration, consumption-based compensation models, Claude Code, sales operations, revenue operations, finance systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a rapidly growing organisation focused on creating reliable, interpretable, and steerable AI systems. The company aims to build safe and beneficial AI systems for users and society as a whole.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5042002008</Applyto>
      <Location>San Francisco, CA | New York City, NY</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
  </jobs>
</source>