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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_99e42ec6-49e"},"title":"Staff Software Engineer, Database Infrastructure","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>We&#39;re looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto&#39;s storage layer. You&#39;ll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you&#39;ll implement distributed database solutions that enable Gusto&#39;s continued growth and scale.</p>\n<p>About the Team</p>\n<p>The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto&#39;s product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto&#39;s growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence</li>\n<li>Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services</li>\n<li>Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management</li>\n<li>Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems</li>\n<li>Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions</li>\n<li>Partner with product engineering teams and technical collaborators to enable rapid and reliable product development</li>\n<li>Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>12+ years of software engineering experience building and scaling large-scale infrastructure systems</li>\n<li>Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)</li>\n<li>Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management</li>\n<li>Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale</li>\n<li>5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale</li>\n<li>Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams</li>\n<li>Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in query optimization, performance evaluation, and infrastructure automation</li>\n<li>Bonus: Experience with service extraction and vertical sharding from monolithic architectures</li>\n<li>Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale</li>\n</ul>\n<p>Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver &amp; most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle &amp; New York. 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