Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role As a Software Engineer on the Storage team at SpaceXAI, 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 SpaceXAI 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 SpaceXAI'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. #LI-DNI

Requirements

Must-haves

As a Software Engineer on the Storage team at SpaceXAI, 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.
Example projects include...
Designing the next-generation data architecture: evolving our storage layer into a partitioned, resilient topology that keeps pace with SpaceXAI'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.
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.

Nice-to-haves

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Keywords to mirror

postgres

Platform: ashby
Effort: quick

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