Software Engineer I

The Finance Experience Team builds the foundation and platform for Rippling’s Finance Suite. The mission is to make every Finance product feel like one coherent, intelligent suite by owning common experiences, workflows, controls, data platforms, and AI-assisted capabilities.

What you'll do

• Build high-quality web and mobile experiences spanning Finance Overview, Tasks, People, Settings, notifications, and suite-wide navigation.
• Develop shared application platforms and public APIs that enable Finance product teams to build consistent, scalable features quickly.
• Engineer foundational data experiences, including configurable grids, advanced filtering and sorting, bulk actions, reconciliation workflows, and rich transaction line items.
• Build secure, auditable controls such as permissions, policies, approvals, delegation, and rule-engine capabilities.
• Collaborate closely with product, design, and engineering teams to simplify complex financial workflows into intuitive experiences.
• Contribute to AI-powered experiences that help customers understand financial data and complete tasks.

What they ask for

• 1-2 years experience working with fast growing, top tier product companies
• Strong coding in one or more programming languages such as Java, Python, C++, or Go
• Expert understanding of data structures, algorithms, software design principles and low level design
• Ability to communicate clearly and work effectively in a collaborative environment
• Understanding of system design and complex distributed systems
• Eagerness to learn new technologies and apply them to solve real-world problems

Good to have

• Open source contributions
• Competitive coding experience
• Strong Computer Science background from a Tier 1 institution

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Technical

1. How would you design a scalable public API for a distributed finance platform?
2. Explain low-level design principles you would use to build a configurable data grid with bulk actions.
3. What are the trade-offs between using Java versus Go when building microservices for high-throughput transactional systems?

Scenario

1. What would you do if a shared platform API you developed caused latency spikes across multiple product teams?
2. How would you approach building an auditable approval workflow engine that spans multiple finance products?

HR

1. Why do you want to work on foundational finance infrastructure products at this stage in your career?
2. How do you handle disagreements with product managers or designers regarding system scalability versus feature delivery speed?

About Rippling

1. How does Rippling integrate disparate workforce systems like payroll, expenses, and IT into a single employee lifecycle management platform?

Practice questions written from the job listing, not this company's real interview questions.

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