Software Engineer, Storage
at Cursor.ai
Posted 19 hours ago
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- United States
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**Job Title:** Software Engineer, Storage **Role Summary:** Cursor's Storage team seeks a **Senior Software Engineer** to own our data layer. You'll manage databases, caches, and data store provisioning strategies, impacting millions of daily users. Key responsibilities include designing and scaling multi-database topologies, optimizing data retrieval, and ensuring system reliability. Required skills: proficiency in SQL, experience with caching systems (e.g., Redis), familiarity with database design principles, and expertise in one or more programming languages (Python, Go, JavaScript). Ideal candidates have 5+ years in storage systems, experience with cloud databases (AWS RDS, GCP Cloud SQL), and understanding of full-stack development. This role is based in San Francisco or New York.
Department: Engineering
Team: Foundations
Location: San Francisco
Additional Locations: New York
Employment Type: FullTime
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the Role
As a Software Engineer on the Storage team at Cursor, you'll own the data layer that underpins every product surface: the databases, caches, and the strategy for how teams provision, query, and scale their data stores.
Millions of developers depend on Cursor every day, and the future of our storage architecture is one of the highest-leverage problems at the company: get it right, and every team ships faster, every product surface gets more reliable, and Cursor can scale to meet explosive demand. You'll design and execute the path to a robust, multi-database topology built for that growth.
Example projects include...
Designing the next-generation data architecture: evolving our storage layer into a partitioned, resilient topology that keeps pace with Cursor's rapid growth.
Building query attribution and guardrails: instrumenting every database query by service, catching bad patterns before they hit production, and making it impossible to ship problematic queries without review.
Defining the "when to use what" strategy for data stores: creating clear guidance and golden pathways so every team picks the right engine for their workload without second-guessing.
Owning cache infrastructure end-to-end: reliability, capacity planning, and patterns that let product teams move fast without worrying about cache correctness.
You may be a fit if
You have deep experience with relational databases at scale, especially Postgres, MySQL, or similar OLTP systems.
You've tackled database sharding, migration, or decomposition problems in production environments.
You understand the tradeoffs between different storage engines and can help teams make the right choices for their workloads.
You care about operational excellence: backups, monitoring, query performance, and capacity planning are things you think about proactively.
You have strong software engineering fundamentals and enjoy building systems that other engineers depend on.
Applying
If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
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