
Software Engineer, User Database Infrastructure
About this role
Role Overview
The Software Engineer, User Database Infrastructure position at Notion is a backend-leaning role based in San Francisco, California, with remote flexibility. This opportunity suits an experienced technical leader with over a decade of background who wants to build scalable database systems that empower everyday knowledge workers.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Notion builds the collaborative AI workspace where teams and agents think together, placing knowledge, projects, meetings, and AI tools into one unified platform. Millions of users rely on Notion to run their work, supported by employees known as Notinos who act as customer zero in bringing the future of work to life. The company operates from its San Francisco offices on Mondays, Tuesdays, and Thursdays as Anchor Days to foster in-person thinking and building.
How to Apply
To apply for this position, please submit your application directly on the official Notion careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in San Francisco, California, with remote flexibility. The team works from the San Francisco office on Mondays, Tuesdays, and Thursdays for Anchor Days.
What is the expected experience level for this role?
Candidates should have 10+ years of engineering experience and technical leadership building and operating production software.
What is the salary range for this position?
For roles based in San Francisco, the estimated base salary range is $299,000 to $334,000 per year, depending on factors like experience, location, and role complexity.
What technologies are used in Notion's stack for this role?
The technology stack includes Postgres, Go, TypeScript, Node.js, and React.
Do I need deep AI expertise to apply?
Deep AI expertise is not required for every role, but Notion expects intellectual curiosity, a willingness to tinker, and fluency with AI-assisted engineering to accelerate work.