Ramp - Software Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 154d ago
The date the source published, not the day we noticed it (2026-04-13). Last seen at its source 1h ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,950–6,875/mo
Middle 50% of 15 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
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
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