Software Engineer, Risk

Backend Engineer · Mid · Full Time

New York, NY (HQ)USD 168k – 275k6mo ago
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Role

What you'll do.

Ramp is seeking a Software Engineer for their Risk Engineering team to build systems that handle $100+ billion in annual payment volume. The role focuses on backend development for limit management, portfolio optimization, and agentic workflows in the fintech space, requiring 2+ years of experience with Python and distributed systems.

Responsibilities

  • System Architecture: Design and architect scalable, stateful systems for automated limit management to optimize Ramp's $100+ billion charge card portfolio
  • AI Agent Development: Envision and build next-generation agents and tools that automate manual Risk decisions and increase operational efficiency
  • Risk Controls Engineering: Develop high-volume, low-latency Risk controls to support Ramp's expansion into new products, customer segments, and geographies
  • Real-time Decision Systems: Design and build real-time decisioning systems spanning the entirety of a business' tenure on Ramp platform
  • Cross-functional Collaboration: Partner closely with analysts, data scientists, and product teams to translate risk strategies into reliable, production-ready software
  • Technical Leadership: Own the technical roadmap for limit management, portfolio optimization, and agentic workflows across the Risk Engineering team
  • System Reliability: Maintain high-frequency controls and ensure system correctness for mission-critical financial operations
  • Automation Development: Build robust systems that automate complex operational tasks and reduce manual intervention in risk processes

Qualifications

What we look for.

Technical

  • Backend Engineering

    Minimum 2+ years of backend engineering experience with production systems

  • Python Proficiency

    Strong proficiency in Python or comparable backend programming languages

  • Distributed Systems

    Hands-on experience working with distributed systems and asynchronous frameworks

  • Data Modeling

    Expertise in converting abstract business problems into robust data models and technical specifications

  • System Reliability

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

  • Financial Systems

    Understanding of high-stakes financial systems requiring accuracy and compliance

Education

  • Computer Science Degree

    Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

  • Technical Fundamentals

    Strong foundation in algorithms, data structures, and system design principles

Experience

  • Production Systems

    2+ years building and maintaining production backend systems at scale

  • Cross-functional Collaboration

    Proven ability to work closely with non-engineering partners including Risk Strategy, Operations, and Sales teams

  • High-volume Systems

    Experience with high-volume, low-latency systems handling significant transaction volumes

  • System Ownership

    Demonstrated high ownership mentality with deep care for system quality and reliability

Skills

Required

  • Python Programming

    Expert-level Python development for backend systems and APIs

  • Distributed Systems Design

    Architecture and implementation of scalable distributed systems

  • Async Programming

    Asynchronous programming patterns for high-performance applications

  • Data Modeling

    Converting business requirements into robust technical data models

  • System Observability

    Building systems with comprehensive monitoring, logging, and alerting

  • Financial Systems Knowledge

    Understanding of financial operations, compliance, and audit requirements

Preferred

  • AI/LLM Integration

    Nice to have

    Experience leveraging AI and Large Language Models for development or internal workflows

  • Financial Optimization

    Nice to have

    Interest and experience in financial optimization problems and algorithms

  • Defensive Programming

    Nice to have

    Writing resilient code with comprehensive error handling and validation

  • ML Platform Experience

    Nice to have

    Hands-on experience with feature stores, rule engines, and ML platforms in production

  • Rapid Learning

    Nice to have

    Ability to learn quickly and move fast while maintaining high standards for correctness

Tech stack

Languages

PythonSQL

Frameworks

Async FrameworksFastAPIFlask

Databases

PostgreSQLRedisFeature Stores

Tools

KubernetesDockerApache KafkaDatadogGitHubJenkins

Other

Machine Learning PlatformsRule EnginesAI/LLM IntegrationMicroservices Architecture

Compensation

Pay and benefits.

Base·USD 168,000 – 275,100

Equity·Stock options

Benefits

  • Health Insurance

    100% medical, dental & vision insurance coverage for employees, partially covered for dependents

  • One Medical

    Annual One Medical membership for convenient healthcare access

  • 401k with Match

    Retirement savings plan with employer matching contributions

  • Flexible PTO

    Unlimited paid time off policy for work-life balance

  • Fertility Benefits

    Fertility Health Reimbursement Account up to $10,000 per year

  • Parental Leave

    Comprehensive parental leave policy for new parents

  • AI Token Access

    Unlimited AI token usage for productivity and development

  • Pet Insurance

    Coverage for pet healthcare expenses

  • Home Office Equipment

    Centralized ordering system for home office setup and equipment

  • Health & Wellness Stipend

    Financial support for health and wellness activities

  • Office Perks

    In-office lunch, snacks, drinks, and other workplace amenities

  • Travel Budget

    Budget allocated for intra-office travel and team collaboration

  • Relocation Support

    Assistance with relocation to NYC or San Francisco as needed

Process

Interview steps.

  1. 01

    Application Review

    Initial screening of resume, portfolio, and technical background by engineering team

  2. 02

    Recruiter Phone Screen

    30-minute conversation with recruiting team to discuss role, compensation, and mutual fit

  3. 03

    Technical Phone Screen

    45-60 minute technical interview focusing on backend engineering concepts, Python proficiency, and system design

  4. 04

    Technical Deep Dive

    90-minute technical session covering distributed systems, data modeling, and risk management scenarios

  5. 05

    Cross-functional Interview

    60-minute interview with Risk Strategy or Operations team to assess collaboration skills and business understanding

  6. 06

    Engineering Manager Interview

    45-minute discussion about technical leadership, ownership mentality, and team collaboration

  7. 07

    Final Round

    Final interview with senior engineering leadership focusing on cultural fit and long-term vision alignment

  8. 08

    Reference Checks

    Professional reference verification and background check completion

Full posting

Original listing.

About Ramp

At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it.

Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year.

Ramp’s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.

Ramp has been named to Fast Company’s Most Innovative Companies list and LinkedIn’s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.

About the Role

The Risk Engineering team builds the systems that enable Ramp to move quickly without compromising trust. As an engineer on Risk, 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 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 Risk 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’ tenure 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 (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.

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