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Software Engineer, Credit

Location
New York, NY (HQ)
Compensation
Not disclosed
Level
mid
Type
full time

Requirements

Experience
2+ years

Benefits

Health Insurance 401k Match Unlimited PTO Parental Leave Relocation Assistance

Joblaze summary

In the role of Software Engineer on the Risk Engineering team at Ramp, the individual will develop and maintain systems that manage and optimize financial risk across a substantial payment volume. Key skills include backend engineering proficiency, particularly in Python, and experience with distributed systems and data modeling. This position is ideal for someone with at least two years of experience who thrives in a fast-paced environment and is comfortable collaborating with cross-functional teams. Ramp emphasizes a high-ownership culture, making it suitable for engineers eager to take on significant responsibilities.

Joblaze insights

Quick facts

How much experience is required?
At least 2 years of relevant experience for this Software Engineer, Credit role.
What's the tech stack?
Joblaze extracted these technologies from the posting: distributed systems, async frameworks, Python.
What seniority level is this role?
Ramp targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Credit role at Ramp.

From the original posting

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 Credit Engineering team builds the systems that enable Ramp to manage credit lifecycles for businesses end-to-end, from initial underwriting through ongoing portfolio strategy optimization. As an engineer on Credit, you’ll own systems that influence $100+ billion in annual payment volume through millions of decisions across our product stack in support of the most ambitious FinTech portfolio in the United States.

We are looking for a backend engineer to own the technical roadmap for underwriting, limit management, portfolio optimization, and agentic workflows. You will build robust systems, automate complex operational tasks, and maintain the high-frequency controls that power all of Ramp’s products. If you are obsessed with correctness, excited by ambiguity, and passionate about problems at the intersection of distributed systems and financial strategy, this role is for you.

What You'll Do

  • Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio.

  • Envision and build the next generation of agents and tools that automate manual credit decisions and increase operational efficiency.

  • Develop high-volume, low-latency risk controls to support Ramp’s expansion into new products, customer segments, and geographies.

  • Design and build real-time decisioning systems spanning the entirety of a business's credit lifecycle on Ramp.

  • Partner closely with analysts, data scientists, and product to translate risk strategies into reliable software.

What You Need

  • 2+ years of backend engineering experience.

  • Proficiency in Python or a comparable backend language.

  • Experience working with distributed systems and async frameworks.

  • Proficiency with converting abstract business problems into robust data models and technical specs.

  • Experience building or operating systems with strict auditability, observability, and correctness guarantees.

  • High ownership mentality – you care deeply about the systems you build.

  • Ability to work closely with non-engineering partners (Risk Strategy, Ops, Sales) to create impact.

Nice to Haves

  • Experience leveraging AI/LLMs for development or for internal workflows.

  • Interest in financial optimization problems.

  • Willingness to learn and move fast while holding the bar on correctness.

  • Defensive programming aptitude.

  • Experience using feature stores, rule engines, and ML platforms in production.

Benefits available to all full-time Ramp employees (Global)

• Flexible PTO

• Unlimited AI token usage

• Centralized home-office equipment ordering

• Health and wellness stipend

• Budget for intra-office travel

• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

• One Medical annual membership

• 401(k), including employer match on contributions made while employed by Ramp

• Fertility HRA (up to $10,000 per year)

• Parental leave: up to 16 weeks (80 days) at 100% pay

• Pet insurance

• In-office perks: lunch, snacks, drinks, and more

• Relocation support to NYC or SF (as needed)

Canada

• Group medical, dental, and vision coverage through Sun Life

• Life, AD&D, and disability coverage

• Fertility drug coverage (up to $4,000 lifetime)

• Group Retirement Plan with employer match (RRSP + DPSP)

• Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay

• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite

• Virtual GP and at-home care via eMed x Livi

• Workplace pension through Penfold, with salary sacrifice option

• Parental leave: up to 16 weeks (80 days) at 100% pay, with additional time available at reduced pay

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.

Ramp Applicant Privacy Notice

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