About the role
Staff Software Engineer - Rippling Query Language Staff Software Engineer - Rippling Query Language About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses,
benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer,
benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.
About
The Role The Platform team is responsible for developing core services and cross-cutting products that form the building blocks at Rippling. Other engineering teams at Rippling leverage these fundamental Lego blocks to create complex products on top of them.
The team owns the analytics, customizable workflows, data platform, reporting, permissions, and custom fields products. All these projects have customer-facing product components and core platform components supporting 10+ product teams. This is a unique opportunity to work on both product and platform layers at the same time. At Rippling, we want users to configure and customize our features/products without complexity. Therefore, we’ve created a new language called Rippling Query Language (RQL) which allows our customers to write Queries and scripts to create Formula Fields inside of our analytics suite, applications in Data Cloud and extend functionality elsewhere across Rippling. RQL internally has its own grammar, parser, query translator, distributed query processing engine, and a distributed datastore. You will work on challenging technical challenges like distributed systems and big data technologies.
