2 months ago
Base Salary
$150k - $200k/yr
Responsibilities
- Build and scale infrastructure supporting Notion’s database block and Collections platform.
- Improve database performance and reliability, particularly at P95 scale and under increased concurrency.
- Address database load performance, microservices architecture, high-volume agent writes, and scalability challenges.
- Use AI to investigate unfamiliar systems, explore debugging paths, generate tests, summarize traces or logs, and evaluate implementation plans.
- Improve infrastructure architecture, observability, documentation, and system boundaries.
- Partner with senior engineers and product-facing teams to balance internal platform needs with customer database experiences.
Requirements
- Strong backend engineering fundamentals and interest in performance, reliability, scalability, and production systems.
- Curiosity about distributed systems, microservices, and data-layer trade-offs; experience in these areas is helpful but not required.
- Practical comfort with JavaScript or TypeScript, or the ability to ramp quickly in a codebase using these tools.
- Ability to iterate through technical problems, identify performance bottlenecks, and reason from first principles.
- Self-guided learning style using documentation, code, teammates, and AI to build context and make progress.
Benefits
- Hybrid work arrangement based in San Francisco or New York City.
- Employees work from the office on Mondays, Tuesdays, and Thursdays as Anchor Days.
- Competitive cash compensation, equity, and benefits are offered.
Tech Stack
Categories
About Notion
Notion builds an all-in-one workspace that combines docs, wikis, databases, and project management with collaborative AI features for individuals and teams. It operates a freemium, subscription-based, land‑and‑expand model used from small groups to large enterprises. Founded in 2016 and headquartered in San Francisco, the privately held company focuses on unifying knowledge, projects, and workflows in a customizable platform.
