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Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (Postgres): Building scalable database infrastructure for knowledge workers with an accent on performance, reliability, and abstraction. Focus on taking new products from alpha to general availability and designing systems that allow users to leverage powerful databases without DBA expertise.
Location: Must be based in San Francisco, CA (Hybrid: Mon, Tue, Thu in office)
Salary: $299,000 – $334,000 per year
Company
Notion is a collaborative AI workspace that integrates knowledge, projects, and tools into a single platform for millions of users.
What you will do
- Lead the architectural direction and roadmap for a new product from alpha to general availability.
- Build and manage systems for provisioning and scaling customer Postgres instances.
- Optimize query execution, indexing, and data loading to ensure performance at scale.
- Design reliable systems for schema evolution, concurrent writes, and data recovery.
- Collaborate with customers to shape foundational technical and product decisions.
Requirements
- 10+ years of experience building and operating production software.
- Deep expertise in relational databases (Postgres or MySQL), including schema design, performance tuning, and concurrency.
- Strong backend fundamentals with experience building services that handle complex state and failure scenarios.
- Proven track record of technical leadership and setting strategy for cross-team initiatives.
- Willingness to work across the stack, including client-side code when necessary.
- Must be based in San Francisco and able to work from the office on Anchor Days (Mon, Tue, Thu).
Nice to have
- Experience managing fleets of databases or building database platforms.
- Deep Postgres expertise in advanced query optimization and workload isolation.
- Experience building query layers, sync engines, or reusable data abstractions.
Culture & Benefits
- Highly competitive cash compensation and equity packages.
- Focus on craft, human-centric work, and building long-lasting systems.
- Collaborative environment with a strong emphasis on AI-assisted engineering.
- Commitment to diversity and equal opportunity employment.
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