{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/production-reliability"},"x-facet":{"type":"skill","slug":"production-reliability","display":"Production Reliability","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90b5ac1d-d16"},"title":"Senior Software Engineer, Backend — Frontier Data","description":"<p>The Frontier Data team builds the data and systems that power Scale&#39;s most advanced Frontier AI use cases. We&#39;re looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges.</p>\n<p>As a Senior Backend Engineer, you will own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. You will build scalable services and pipelines that support agent workflows, architect modular, reusable backend systems, and operate in high-ambiguity environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing and building scalable systems while partnering closely with research, product, operations, and other engineering teams</li>\n<li>Building scalable services and pipelines that support agent workflows</li>\n<li>Architecting modular, reusable backend systems that adapt to evolving product needs</li>\n<li>Operating in high-ambiguity environments and breaking down open-ended problems</li>\n<li>Partnering cross-functionally with product, research/ML, and infrastructure teams</li>\n</ul>\n<p>Ideal experience includes 5+ years of full-time software engineering experience, strong backend engineering fundamentals, and experience building systems that scale.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.</p>\n<p>Additional benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90b5ac1d-d16","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Frontier Data","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4648525005","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Distributed systems","API design","Data modeling","Production reliability","Docker","Containerized development/production environments","SQL","Modern database-backed application development"],"x-skills-preferred":["Async processing","Workflow engines","Data pipelines"],"datePosted":"2026-04-18T16:01:34.567Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, API design, Data modeling, Production reliability, Docker, Containerized development/production environments, SQL, Modern database-backed application development, Async processing, Workflow engines, Data pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bb1aad7-0aa"},"title":"Model Quality Software Engineer, Claude Code","description":"<p>We&#39;re looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you&#39;ll partner directly with Anthropic&#39;s researchers and engineering leadership to shape how we measure, understand, and improve Claude&#39;s coding capabilities.</p>\n<p>As a senior individual contributor, you&#39;ll be accountable for the technical decisions that ripple across the team and beyond. You&#39;ll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team</li>\n</ul>\n<ul>\n<li>Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap</li>\n</ul>\n<ul>\n<li>Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years</li>\n</ul>\n<ul>\n<li>Identify the highest-leverage engineering investments,often before anyone has asked for them,and drive them to completion</li>\n</ul>\n<ul>\n<li>Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them</li>\n</ul>\n<ul>\n<li>Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale</li>\n</ul>\n<ul>\n<li>Partner with research leads to translate ambiguous research questions into durable engineering solutions</li>\n</ul>\n<ul>\n<li>Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health</li>\n</ul>\n<p>If you have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization, you may be a good fit for this role.</p>\n<p>Strong candidates may also have experience with designing or scaling eval/evaluation frameworks for ML systems, reinforcement learning infrastructure or training systems, leading technical initiatives in high-performance, demanding environments, research computing, scientific infrastructure, or developer platforms at scale, a strong quantitative foundation (math, physics, or related fields), and expertise in Python and TypeScript.</p>\n<p>The annual compensation range for this role is $405,000-$485,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1bb1aad7-0aa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5098025008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["software engineering","evaluation systems","research infrastructure","internal tooling","eval frameworks","model capabilities","research roadmap","infrastructure design","experimentation","engineering investments","product research","mentoring","design review","engineering standards","critical systems","architecture","production reliability"],"x-skills-preferred":["Python","TypeScript","ML systems","reinforcement learning","research computing","scientific infrastructure","developer platforms"],"datePosted":"2026-04-18T15:43:15.872Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, evaluation systems, research infrastructure, internal tooling, eval frameworks, model capabilities, research roadmap, infrastructure design, experimentation, engineering investments, product research, mentoring, design review, engineering standards, critical systems, architecture, production reliability, Python, TypeScript, ML systems, reinforcement learning, research computing, scientific infrastructure, developer platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}}]}