RampSoftware Engineer, Ramp Travel
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
Ramp is redesigning how businesses manage travel—and the backbone of that vision is a seamless, intelligent platform that unifies booking, spend, and policy in real time. The Ramp Travel team is building the systems that power how businesses plan, book, and manage travel, ensuring every trip is efficient, compliant, and fully integrated into the company’s financial workflows.
We’re looking for a blazingly fast backend engineer who thrives in complex systems, cares deeply about reliability and user experience, and wants to shape how modern companies manage travel. You’ll help us save customers time and money while supporting Ramp’s transformation into the AI-powered finance platform of the future.
What You'll Do
Own and scale the backend services powering Ramp’s travel booking platform, enabling cardholders to seamlessly book flights, hotels, and cars directly within Ramp
Build delightful user experiences that leverage Ramp’s integrated travel and spend platform—unlocking capabilities no other product can match
Develop reporting and policy systems that give travel managers real-time visibility into employee travel and ensure spend stays within company policy
Lay the technical foundation for AI agents that learn traveler preferences and automate trip planning and booking
Design and operate highly scalable, reliable systems that serve millions of travelers with exceptional performance and support
Improve internal developer tooling and platform interfaces to accelerate engineering velocity and product development
What You Need
Experience in high-velocity environments
Experience using AI coding tools to ship fast while maintaining a high bar on quality
Strong understanding of system design, reliability engineering, and service observability
Fluent in Python or a comparable modern backend language
3+ years of backend engineering experience
Comfort working closely with customers to translate business needs into clean code
Nice-to-Haves
Experience building AI agents that execute complex tasks
Travel industry knowledge (especially experience using travel APIs)
Experience working with difficult and unreliable APIs
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.