Software Engineer, Argentina

About the Role

The team owns the core experience that helps finance teams control, automate, and optimize company spend. We build the engine that powers Ramp’s card and expense workflows—from card issuance and spend limits to approvals, policy enforcement, and real-time insights.

Our systems handle billions of dollars in transactions and integrate deeply with Ramp’s AI platform, financial infrastructure, and partner ecosystems (banks, ERPs, HRIS).

As a backend engineer on this team, you’ll work across product surfaces that are central to Ramp’s success: cards, approvals, spend controls, and automation intelligence.

What You’ll Do

• Design, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scale
• Collaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teams
• 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
• Partner with the Product Platform and Integrations teams to ensure reliability, scalability, and data consistency across financial systems
• Continuously improve Ramp’s transaction and policy infrastructure for performance, accuracy, and resilience

What We’re Looking For

• 1+ 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 is ideal
• 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