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. Backed by Kleiner Perkins, Lightspeed and Sequoia.
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.
What they're looking for
- 5+ years experience in backend engineering roles
- Experience writing testable and performant backend code
- Experience working in a fast-paced, dynamic environment
- Experience mentoring less-experienced developers
- Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions
More about this 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.
- Work on distributed...
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