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
Requirements
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
Benefits
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support to NYC or SF (as needed)
Pet insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
problem-solvingcollaborationindependent workadaptabilityattention to detailcommunicationreliabilityelegant system designbusiness requirements translationworking in ambiguity