{"schemaVersion":"jobsearcher.job.v1","id":"01a8778ae62c732981ba700a","url":"https://jobsearcher.com/jobs/01a8778ae62c732981ba700a","canonicalUrl":"https://jobsearcher.com/jobs/01a8778ae62c732981ba700a","title":"Software Engineer, Infrastructure","description":"About Blockit\nTime is the most valuable resource we have, yet coordinating it remains stuck in the dark ages. At Blockit, we're building the AI that finally fixes this: an autonomous time agent that handles the full complexity of scheduling—timezones, group coordination, in-person logistics—like an executive assistant that never sleeps.\nWhile every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents—coordinating between multiple people, maintaining context across conversations, and taking real actions in the world. As more people connect their calendars, our network becomes exponentially more powerful.\nThis is the foundation of a platform of AI agents with access to the world's time. We're backed by Sequoia, and we're a small, sharp team that moves fast, ships constantly, and holds a high bar. If you want to build something genuinely new, we'd love to talk.\nYou can visit our teams page to learn more about our team and culture.\nThe role\nThink of this as a product engineer role — but the product is everything underneath. For a stateful, multiplayer AI agent that takes real actions in the world, infrastructure is the user experience. When a meeting gets scheduled in 800ms instead of 4 seconds, when an email never gets dropped, when our agent recovers gracefully from a flaky third-party API — that's a feature users feel. You'll ship those features.\nThis role spans three connected areas:\nInfra that users feel — own our core systems (PostgreSQL, ClickHouse, async job processing, LLM gateway, email infra) with the same product instincts an engineer would bring to a customer-facing feature. Latency, reliability, and recovery are user-facing metrics, and you'll move them. We've outgrown some of our early choices and will outgrow more, so you'll also lead the build-vs-buy and migration calls: is pg-boss still the right queue or do we need a managed system? Should we move off Postmark? When do we add Redis, Kafka, a managed vector store? You make the call, ship the migration, and bring the team along.\nObservability — own how we see our system. Metrics, logs, traces, dashboards, alerting, and the on-call / pager rotation — including what we alert on and what we don't. The goal is that we catch problems before customers do, and that when something does break, the engineer paged knows exactly where to look.\nDeveloper experience & DevOps — own how Blockit engineers work day-to-day. That includes capacity planning and deploys, but also our AI-augmented dev environment: Claude Code setup, agent tooling, sandboxes, evals, the works. We want this team to be the most AI-native engineering org in the Valley and we need someone who treats that as a first-class problem.\nThis role is ideal if you care deeply about how things actually run in production and want to build the foundation for a platform that coordinates millions of calendars.\nWhat you'll do\nOwn, operate, and evolve our core data infrastructure: PostgreSQL, ClickHouse, and async processing pipelines — measuring success in user-facing terms (p95 scheduling latency, agent action success rate, message delivery reliability)\nOwn observability end-to-end: metrics, logs, traces, alerting, dashboards, and the on-call / pager rotation — including what we alert on and what we don't\nDesign, manage, and optimize our LLM infrastructure (gateway, evaluation pipelines, agent observability) for reliability, performance, and cost\nLead infrastructure migration decisions and execute them: e.g. evaluating pg-boss vs. managed queue alternatives, weighing whether to move off Postmark, introducing Redis / Kafka / similar when the time is right\nPartner directly with product engineers to ship features — the line between \"infra work\" and \"product work\" should be invisible here\nOwn DevX: shape how engineers leverage AI in their day-to-day workflow — local environments, Claude Code conventions, agent tooling, eval harnesses, anything that compounds team velocity\nOwn DevOps: deploy pipelines, environment management, capacity planning, infra cost\nWhat we’re looking for\n4+ years of software engineering experience, with significant time on backend or infrastructure\nProduct sensibility — you reach for user-facing metrics first, and you can tell the difference between an infra problem that matters and one that doesn't\nDeep with databases — you can read query plans, find the bottleneck, and know when to fix the query vs. fix the schema vs. fix the architecture\nHave run production services and owned the pager — comfortable in an incident, methodical in the postmortem\nFamiliar with job queues, async processing, or event-driven systems, and have opinions on when each is the right tool\nInterest in developer tooling and how AI changes the way engineers should work\nPragmatic about build vs. buy — you don't reinvent infrastructure for fun, and you don't outsource what should be core\nLocation\nSan Francisco, CA. On‑site 4 days per week","company":"Blockit Ai","rawCompany":"blockit ai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:26:51.118Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Infrastructure","description":"About Blockit\nTime is the most valuable resource we have, yet coordinating it remains stuck in the dark ages. At Blockit, we're building the AI that finally fixes this: an autonomous time agent that handles the full complexity of scheduling—timezones, group coordination, in-person logistics—like an executive assistant that never sleeps.\nWhile every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents—coordinating between multiple people, maintaining context across conversations, and taking real actions in the world. As more people connect their calendars, our network becomes exponentially more powerful.\nThis is the foundation of a platform of AI agents with access to the world's time. We're backed by Sequoia, and we're a small, sharp team that moves fast, ships constantly, and holds a high bar. If you want to build something genuinely new, we'd love to talk.\nYou can visit our teams page to learn more about our team and culture.\nThe role\nThink of this as a product engineer role — but the product is everything underneath. For a stateful, multiplayer AI agent that takes real actions in the world, infrastructure is the user experience. When a meeting gets scheduled in 800ms instead of 4 seconds, when an email never gets dropped, when our agent recovers gracefully from a flaky third-party API — that's a feature users feel. You'll ship those features.\nThis role spans three connected areas:\nInfra that users feel — own our core systems (PostgreSQL, ClickHouse, async job processing, LLM gateway, email infra) with the same product instincts an engineer would bring to a customer-facing feature. Latency, reliability, and recovery are user-facing metrics, and you'll move them. We've outgrown some of our early choices and will outgrow more, so you'll also lead the build-vs-buy and migration calls: is pg-boss still the right queue or do we need a managed system? Should we move off Postmark? When do we add Redis, Kafka, a managed vector store? You make the call, ship the migration, and bring the team along.\nObservability — own how we see our system. Metrics, logs, traces, dashboards, alerting, and the on-call / pager rotation — including what we alert on and what we don't. The goal is that we catch problems before customers do, and that when something does break, the engineer paged knows exactly where to look.\nDeveloper experience & DevOps — own how Blockit engineers work day-to-day. That includes capacity planning and deploys, but also our AI-augmented dev environment: Claude Code setup, agent tooling, sandboxes, evals, the works. We want this team to be the most AI-native engineering org in the Valley and we need someone who treats that as a first-class problem.\nThis role is ideal if you care deeply about how things actually run in production and want to build the foundation for a platform that coordinates millions of calendars.\nWhat you'll do\nOwn, operate, and evolve our core data infrastructure: PostgreSQL, ClickHouse, and async processing pipelines — measuring success in user-facing terms (p95 scheduling latency, agent action success rate, message delivery reliability)\nOwn observability end-to-end: metrics, logs, traces, alerting, dashboards, and the on-call / pager rotation — including what we alert on and what we don't\nDesign, manage, and optimize our LLM infrastructure (gateway, evaluation pipelines, agent observability) for reliability, performance, and cost\nLead infrastructure migration decisions and execute them: e.g. evaluating pg-boss vs. managed queue alternatives, weighing whether to move off Postmark, introducing Redis / Kafka / similar when the time is right\nPartner directly with product engineers to ship features — the line between \"infra work\" and \"product work\" should be invisible here\nOwn DevX: shape how engineers leverage AI in their day-to-day workflow — local environments, Claude Code conventions, agent tooling, eval harnesses, anything that compounds team velocity\nOwn DevOps: deploy pipelines, environment management, capacity planning, infra cost\nWhat we’re looking for\n4+ years of software engineering experience, with significant time on backend or infrastructure\nProduct sensibility — you reach for user-facing metrics first, and you can tell the difference between an infra problem that matters and one that doesn't\nDeep with databases — you can read query plans, find the bottleneck, and know when to fix the query vs. fix the schema vs. fix the architecture\nHave run production services and owned the pager — comfortable in an incident, methodical in the postmortem\nFamiliar with job queues, async processing, or event-driven systems, and have opinions on when each is the right tool\nInterest in developer tooling and how AI changes the way engineers should work\nPragmatic about build vs. buy — you don't reinvent infrastructure for fun, and you don't outsource what should be core\nLocation\nSan Francisco, CA. On‑site 4 days per week","datePosted":"2026-08-04T19:26:51.118Z","dateModified":"2026-08-04T19:26:51.118Z","hiringOrganization":{"@type":"Organization","name":"Blockit Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"01a8778ae62c732981ba700a"},"url":"https://jobsearcher.com/jobs/01a8778ae62c732981ba700a"}}