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Software Engineer, User Database Infrastructure

Notion· Engineering
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Hybrid (San Francisco, California)$234k - $352kFull-timePosted 4w ago

About the role

Backend-focused role building scalable database infrastructure for Notion's user data, with leadership responsibilities shaping architecture and roadmap from alpha to general availability.

Responsibilities

  • Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship.
  • Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding.
  • Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top.
  • Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one.
  • Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers.

Qualifications

  • Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM.
  • Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery.
  • Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes.
  • A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements.
  • Product judgment. You’re interested in who will use what you build, not just how it works.
  • Willingness to work across the stack. You bring backend depth, but are comfortable learning unfamiliar systems and working in client code when delivering a good experience requires it.
  • Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result.

Skills

Required:Production relational database experience (Postgres/MySQL)Engineering leadershipBackend engineering fundamentalsPerformance analysisProduct judgmentFull-stack collaborationAI-assisted engineering
Last updated Oct 21, 2026. Interested? Apply on the company site.
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