Software Engineer, Infrastructure (4+ yrs), SF at Blockit, Seeded by Sequoia's Pat Grady

About The Job

Blockit is hiring for this role in San Francisco, and Harper, an AI career agent, is on your side of the table. Skip the application form: just talk to Harper, and in a few minutes it learns your background, then puts the strongest profiles directly in front of Blockit's founders. 👉 Start with Harper

Job Title

Software Engineer, Infrastructure at Blockit, San Francisco

Level

4+ years of software engineering, with significant time on backend or infrastructure. You have carried the pager.

Salary

Competitive salary + equity at a Sequoia-backed company.

Location

San Francisco, CA. On-site 4 days per week. Full-time.

Company Description

Blockit is a Sequoia-backed AI scheduling agent: CC it on any email or Slack thread and it negotiates the times, handles the time zones, and sends the invite. Customers include teams at Andreessen Horowitz, Index Ventures, Accel, Thrive Capital, Ramp, Vanta, Clay, and Granola. Founded by a former Sequoia partner and covered by TechCrunch and Sequoia in January 2026. While every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents: it coordinates between multiple people, keeps context across conversations, and takes real actions in the world.

The Role

Think of this as a product engineering role where the product is everything underneath. For a stateful, multiplayer AI agent that takes real actions in the world, infrastructure is the user experience: a meeting scheduled in 800ms instead of 4 seconds, an email that never gets dropped, an agent that recovers gracefully from a flaky third-party API. You own infrastructure users can feel, observability and on-call, and developer experience for one of the most AI-native engineering teams in the Valley.

What You'll Do

• Own and evolve core data infrastructure (PostgreSQL, ClickHouse, async pipelines), measured in user-facing terms like p95 scheduling latency and delivery reliability
• Own observability end-to-end: metrics, logs, traces, alerting, dashboards, and the on-call rotation
• Run the LLM infrastructure (gateway, eval pipelines, agent observability) for reliability, performance, and cost
• Make and ship the build-vs-buy and migration calls: queues, email providers, Redis or Kafka when the time is right
• Shape how engineers work with AI day to day: Claude Code conventions, agent tooling, sandboxes, eval harnesses
• Own deploys, environments, capacity planning, and infra cost

Who You Are

• 4+ years of software engineering, with significant time on backend or infrastructure
• Deep with databases: you read query plans and know when to fix the query, the schema, or the architecture
• You have run production services and owned the pager
• Opinions on job queues, async processing, and event-driven systems
• Product sensibility: you reach for user-facing metrics first
• Pragmatic about build vs. buy

Why Join

• Own the foundation of a platform built to coordinate millions of calendars
• Tiny, senior team backed by Sequoia; every customer so far came inbound
• Work in person in San Francisco with people who ship daily

How This Works

Harper is an AI career agent on your side, free for candidates and paid by companies.

• Talk to Harper for 5 minutes. No resume form.
• If you're a fit, your profile goes straight to Blockit's hiring team, and only after you approve.
• Not a fit? Harper keeps sending you roles you wouldn't find on your own.