Staff Software Engineer (Cloud and AI)

At Readyset, we are building a database cache with zero integration cost - just swap your connection string and take read latencies from ~100's of ms to under a ms while reducing costs. It precomputes the results of prepared statements (i.e. parameterized SQL queries) and incrementally updates these results over time as the underlying data in your database changes.

Readyset is wire-compatible with MySQL and Postgres, so it can be integrated with your existing application without code or database changes– Readyset makes it easy for developers to build performant web, analytical, and internal applications regardless of whether they’re deployed to a single region or around the world. 

We’re looking for people who are excited about exploring and productionizing the frontier of distributed systems and DB research to join our fully-remote team. You’d be a great fit at Readyset if you're excited about bringing to market data infrastructure that makes applications faster, simpler, and easier to deploy.

We’re looking for a Staff Software Engineer to help build the next generation of AI-native cloud infrastructure: systems that power data-intensive products and bring advanced AI capabilities into production. Our Cloud and AI team moves fast and delivers what others call impossible, shipping ambitious systems at breakneck speed while maintaining engineering rigor.

The challenges we’re tackling are the ones that define enterprise-scale AI systems:

• Freshness: ensuring data is always current, since stale results immediately erode user trust.
• Memory: designing structured, retrievable memory so agents can behave reliably over time, not just like short-lived chatbots.
• Cost: keeping re-embedding, reranker passes, and LLM calls sustainable through batching, caching, and smart model routing.

We believe solving these challenges is key to making AI systems production-grade: responsive, reliable, and affordable at scale. As a Staff Engineer, you’ll play a central role in designing and operating the infrastructure that makes this possible.

Having a product rooted in research out of MIT, a commitment to learning is a requisite trait of every team member. We work on cutting-edge problems in distributed systems and are looking for engineers ready to rise to the challenge as we revolutionize the use of SQL in modern web applications. We want to be a company where all employees are excited to continue learning and growing in their area of expertise, no matter which role or team they are a part of.

Though every team member at Readyset is individually exceptional, many of the problems we are solving have not been solved before. This means engineering at Readyset is a team sport.  We strive to give every engineer ownership over their work while giving them the resources they need to produce high-quality solutions. We welcome feedback on our own ideas and create timelines with the assumption that part of every day will be spent helping others. We also trust that during disagreements, every teammate will prioritize finding the best possible solution over being right. We encourage collaboration and humility over ego. 

As a growth stage company tackling huge engineering challenges, sometimes we fail. When this happens, we don’t place blame or keep score and are willing to acknowledge when we could have done better. Most importantly, we are committed to learning and improving as much as possible from every failure so we have a higher chance of succeeding the next time.

ReadySet knows that a diverse workforce directly contributes to a higher quality product for our customers. We have put immense effort into fostering an inclusive, diverse work environment from the time of the company’s founding. We expect everyone to bring empathy and respect to all of their interactions with coworkers and customers. Encouraging everyone to bring their unique perspectives to the table when solving problems helps us build and deliver stronger products.