RampSoftware Engineer, Argentina
About Ramp
Ramp 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 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
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 Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant 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.