Software Engineer II - Finance Platform @ Rippling
About RipplingRippling 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 roleWe’re looking for a Software Engineer II to join the Finance Platform team—one of Rippling’s most technically ambitious product engineering groups. This team builds foundational systems that power risk, compliance, fraud, and accounting infrastructure across Rippling’s finance products—products that move billions of dollars and pay millions of workers each week.This is a newly formed team building platforms from the ground up—offering a rare opportunity to shape critical architecture early in its lifecycle. You’ll work on high-impact systems, collaborate with experienced engineers, and take on technically challenging problems.What you'll work onThis team is responsible for building key platforms that enable financial controls, automation, and intelligence across multiple products at Rippling. These include:Powering real-time enforcement of financial policies and decisioning logic across Rippling's products to ensure trust, compliance, and safety at scale.Enabling internal operations teams to build, customize, and maintain internal third-party integrations and workflows with zero engineering involvement.Solving non-deterministic problems using machine learning and behavioral modeling. Detect anomalies, flag suspicious patterns, and enhance…
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