Software Engineer, Core Product

Ramp Ramp · Fintech · New York, NY · Engineering

Software Engineer, Core Product at Ramp, focusing on backend systems for spend controls, approval workflows, and card transactions. Integrates with Ramp's AI platform for automation and anomaly detection, handling billions in transactions. Requires strong backend experience and product sense.

What you'd actually do

  1. Design, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scale
  2. Collaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teams
  3. Integrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detection
  4. Own complex projects end-to-end — from architecture to deployment and observability
  5. Partner with the Product Platform and Integrations teams to ensure reliability, scalability, and data consistency across financial systems

Skills

Required

  • 2+ years of software engineering experience (backend or fullstack with a backend focus)
  • Strong fundamentals in backend systems and API design
  • Experience with Python, Go, or TypeScript
  • Familiarity with PostgreSQL, AWS, and modern observability tooling
  • Product sense: ability to balance technical quality with speed and user value
  • Collaborative, thoughtful communicator who thrives in high-ownership environments

Nice to have

  • Fintech or payments experience (cards, reconciliation, transaction processing)
  • Exposure to AI- or rule-based automation systems
  • Experience integrating with ERP or accounting systems
  • Familiarity with security, risk, or compliance-driven domains
  • Experience building reliable distributed systems that process large volumes of financial or transactional data

What the JD emphasized

  • high agency
  • high urgency
  • high-ownership environments
  • massive scale
  • billions of dollars in transactions
  • large volumes of financial or transactional data

Other signals

  • Integrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detection
  • Own complex projects end-to-end — from architecture to deployment and observability
  • Continuously improve Ramp’s transaction and policy infrastructure for performance, accuracy, and resilience