Software Engineer, Collections Infra

WHO WE ARE

Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

ABOUT THE ROLE

As a Software Engineer on Collections Infra, you’ll help scale the infrastructure behind Notion’s database block. Databases power views, boards, charts, forms, and the workflows customers use to run their companies; as Notion grows into larger enterprise deployments and AI-native work, those systems need to become faster, more reliable, and ready for much higher concurrency. This team sits between infrastructure and product, building backend architecture that improves the customer experience while becoming a platform other Notion teams can build on. You’ll work on problems like database load performance, microservices, high-volume writes from agents, and the flexibility that makes Notion databases powerful and hard to scale.

This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

WHAT YOU'LL ACHIEVE

• By your 90th day, you’ll understand how Collections Infra supports Notion’s database block, ship improvements to database performance or reliability, and build context on the scale challenges behind larger enterprise workspaces and AI-driven write volume.

• You’ll use AI as a real engineering collaborator: to learn unfamiliar systems faster, explore debugging paths, generate tests, summarize traces or logs, and pressure-test implementation plans before shipping.

• You’ll contribute to the team’s work to make databases faster and more reliable at P95 scale, especially as customers build larger centralized databases with more concurrent usage.

• By the end of your first year, you’ll have helped raise the quality bar for Collections infrastructure through better architecture, observability, documentation, or system boundaries that make future work easier to build on.

• You’ll partner with senior engineers and product-facing teams to evolve Collections as a platform, balancing internal developer needs with the external customer experience of databases.

SKILLS YOU'LL NEED TO BRING

• Strong backend engineering fundamentals, with interest in performance, reliability, scalability, and systems that need to hold up under real customer load.

• Curiosity about distributed systems, microservices, and data-layer trade-offs; experience in these areas is helpful, but we care most about your ability to learn quickly and reason from first principles.

• Practical comfort with JavaScript or TypeScript, or the ability to ramp quickly in a codebase where those tools matter.

• Grit and truth-seeking in technical problem solving: you can iterate when the first approach does not move P50/P95 performance, and you’re motivated by finding the real bottleneck.

• A self-guided learning style: you use docs, code, teammates, and AI to build context, ask better questions, and turn ambiguity into steady progress.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The

Responsibilities

• Understand how Collections Infra supports Notion's database block, ship improvements to database performance or reliability, and build context on scale challenges by your 90th day.
• Use AI as a real engineering collaborator to learn unfamiliar systems faster, explore debugging paths, generate tests, summarize traces or logs, and pressure-test implementation plans.
• Contribute to making databases faster and more reliable at P95 scale for customers building larger centralized databases with concurrent usage.
• Help raise the quality bar for Collections infrastructure through better architecture, observability, documentation, or system boundaries by the end of your first year.
• Partner with senior engineers and product-facing teams to evolve Collections as a platform, balancing internal developer needs with the external customer experience.

Requirements

• Strong backend engineering fundamentals with interest in performance, reliability, scalability, and systems under real customer load.
• Practical comfort with JavaScript or TypeScript, or the ability to ramp quickly in a codebase where those tools matter.
• Grit and truth-seeking in technical problem solving, being motivated by finding the real bottleneck.
• A self-guided learning style using docs, code, teammates, and AI to build context and turn ambiguity into steady progress.

Preferred Qualifications

• Curiosity about distributed systems, microservices, and data-layer trade-offs; experience in these areas is helpful.

• Highly competitive cash compensation
• Equity
• Benefits