About this role
About RampRamp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the RoleWe’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.
What You’ll DoDesign 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
What You Need3-5 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
Nice to HaveExperience with financial data (banking, payments, card transactions, trading/exchange data)
Familiarity with accounting concepts and ledgering systems
Experience with distributed systems technologies (e.g., Kafka)
Background in fintech products (billing, cards, payments, reconciliation)
Experience working closely with internal stakeholders and translating business needs into technical solutions
Experience with workflow orchestration tools like Temporal or Airflow
Benefits (for U.S.-based full-time employees)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 $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees
Health and Wellness stipend
In-office perks: lunch, snacks, drinks, and more
Budget for intra-office travel
Relocation support to NYC or SF (as needed)
Referral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.
Other noticesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
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