Ramp is looking for a backend engineer to help design and scale the infrastructure that powers their payment rails, ensures auditability across products, and unlocks the next wave of AI-driven automation within their Procure-to-Pay (P2P) financial operations platform.
Requirements
- 3+ years of backend engineering experience, ideally in fintech, payments, or transactional systems.
- Proven experience designing and maintaining data-intensive distributed systems with strong consistency and auditability requirements.
- Deep knowledge of Python (or a comparable backend language) and SQL.
- Comfort building event-driven systems and scaling high-volume, low-latency architectures.
- Strong system design and debugging skills; you care about correctness as much as speed.
- Experience with accounts payable, payments, or reconciliation systems.
- Familiarity with accounting or ERP integrations (e.g. NetSuite, QuickBooks, Oracle).
Responsibilities
- Design and build core P2P systems, from invoice ingestion and approval workflows to payment orchestration and reconciliation logic.
- Enable AI agents to classify, validate, and process invoices automatically, reducing manual review and accelerating financial close.
- Own backend services that process large volumes of financial events across Bill Pay, Procurement, and Treasury.
- Collaborate cross-functionally with Product, Finance, and Data to translate accounting and compliance policies into robust, testable code.
- Extend Ramp’s financial ledger to handle new transaction types, international payments, and automated audit trails.
- Drive technical excellence around reliability, observability, and data integrity in systems where correctness directly impacts financial reporting.
- Continuously improve developer tooling and internal APIs that make P2P data accessible across Ramp’s product ecosystem.
Other
- Ability to work closely with finance, risk, and product stakeholders to translate business rules into software logic.
- Passion for building systems that are precise, reliable, and extensible as Ramp scales globally.
- Background in compliance-heavy or regulated domains.
- Exposure to AI-driven automation or interest in working with AI/ML teams to build intelligent finance workflows.
- Desire to move quickly while maintaining an uncompromising standard for data accuracy and auditability.
