Software Engineer, Bill Pay & Procurement

Ramp is building the smart infrastructure for finance teams, automating how businesses manage their spend. The role involves designing and building core Procure-to-Pay systems, enabling AI-driven automation, and collaborating with cross-functional teams to ensure financial accuracy and integrity.

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

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
• 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
• Experience with accounts payable, payments, or reconciliation systems
• Familiarity with accounting or ERP integrations (e.g. NetSuite, QuickBooks, Oracle)
• 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