{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/query-plan-design"},"x-facet":{"type":"skill","slug":"query-plan-design","display":"Query Plan Design","count":1},"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_4ee80bcb-e47"},"title":"Senior Software Engineer, Product Data Platform","description":"<p>Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. As a Senior Software Engineer on our Product Data Platform (PDP) team, you will work on data-intensive, distributed systems at scale. Your mission will be to make Brex customizable, scalable, and reliable for finance teams, requiring deeply optimized, production-grade backend systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.</li>\n<li>Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.</li>\n<li>Debug and remediate P95/P99 latency issues under load in production systems.</li>\n<li>Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.</li>\n<li>Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.</li>\n<li>Implement and improve caching strategies, read/write separation, and replica usage.</li>\n<li>Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).</li>\n<li>Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of backend engineering experience building and operating production systems at scale.</li>\n<li>Experience building platforms or infrastructure used by real customers.</li>\n<li>Strong communication skills and ability to collaborate cross-functionally.</li>\n<li>Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)</li>\n<li>Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.</li>\n</ul>\n<p>Compensation: The expected salary range for this role is $192,000 - $240,000 + equity.</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_4ee80bcb-e47","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8430197002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,000 - $240,000 + equity","x-skills-required":["backend engineering","distributed systems","relational databases","query plan design","indexing strategies","database optimization"],"x-skills-preferred":["OpenSearch/Elasticsearch","multi-tenant platforms","data-heavy platforms"],"datePosted":"2026-04-18T15:51:42.071Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"backend engineering, distributed systems, relational databases, query plan design, indexing strategies, database optimization, OpenSearch/Elasticsearch, multi-tenant platforms, data-heavy platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":240000,"unitText":"YEAR"}}}]}