About RipplingRippling is the first way for businesses to manage all of their HR & IT-payroll, benefits, computers, apps, and more-in one unified workforce platform.
By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees' payroll, health insurance, work computer, and third-party apps-like Slack, Zoom, and Office 365-all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B 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 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.
What You Will Do:- Work on distributed processing engines and distributed databases
- Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka
- Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
- Build custom programming languages within the Rippling Platform
- Create data platforms, data lakes, and data ingestion systems that work at scale
- Design, develop, code, and test software systems, improvements, products, and user-facing experiences
- Work alongside software architects and senior developers doing state-of-the-art development work
- Contribute to product design and implementation discussions
- Find and build unique solutions to implement projects from the idea phase to production
Qualifications:- 2+ 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
The pay range for this role is:
135,000 - 236,250 USD per year (US Tier 1)
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