Mid & Senior Software Engineer, Ramp

• 3-5 years of backend engineering experience with expertise in building data-intensive systems
• Strong Python experience (ideally as your primary language)
• Deep SQL knowledge and experience working with complex data models
• Proven system design skills - you can take high-level requirements and architect scalable, maintainable solutions
• Experience thriving in startup-like environments with high ambiguity and requiring independent problem-solving
• Comfortable working flexibly across the stack - equally at home prototyping analyses in a Jupyter notebook and implementing production backend endpoints
• Track record of building reliable, well-tested systems where correctness matters

Desirable

• We’re building the mission critical financial infrastructure that powers Ramp - a system of record that connects our products, data, and reporting into a single, trusted view of how the company performs. This is foundational systems work that ensures financial accuracy and visibility across the business globally, from tracking spend and revenue to forecasting, reconciliation, and reporting
• You’ll design and build durable, auditable infrastructure that blends data modeling, orchestration, and finance domain logic at scale. This work sits at the heart of Ramp’s mission and will form the backbone as we expand our product suite and grow internationally
• Design and build large-scale financial systems that handle high volumes of transactional data with correctness and precision
• Create robust and extensible data models and orchestration logic for ledgering, reconciliation, and financial reporting systems
• Partner directly with our CFO and finance leadership to translate business requirements into technical specifications
• Build systems that maintain auditability, data integrity, and regulatory compliance across our expanding product ecosystem
• Work on complex problems involving distributed systems, event-driven architectures, and financial data at scale
• Collaborate with engineers who care deeply about correctness, reliability, and elegant system design