Software Engineer, Risk
Backend Engineer · Mid · Full Time
Opens Ramp's application page
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 haveExperience leveraging AI and Large Language Models for development or internal workflows
Financial Optimization
Nice to haveInterest and experience in financial optimization problems and algorithms
Defensive Programming
Nice to haveWriting resilient code with comprehensive error handling and validation
ML Platform Experience
Nice to haveHands-on experience with feature stores, rule engines, and ML platforms in production
Rapid Learning
Nice to haveAbility to learn quickly and move fast while maintaining high standards for correctness
Tech stack
Languages
Frameworks
Databases
Tools
Other
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.
- 01
Application Review
Initial screening of resume, portfolio, and technical background by engineering team
- 02
Recruiter Phone Screen
30-minute conversation with recruiting team to discuss role, compensation, and mutual fit
- 03
Technical Phone Screen
45-60 minute technical interview focusing on backend engineering concepts, Python proficiency, and system design
- 04
Technical Deep Dive
90-minute technical session covering distributed systems, data modeling, and risk management scenarios
- 05
Cross-functional Interview
60-minute interview with Risk Strategy or Operations team to assess collaboration skills and business understanding
- 06
Engineering Manager Interview
45-minute discussion about technical leadership, ownership mentality, and team collaboration
- 07
Final Round
Final interview with senior engineering leadership focusing on cultural fit and long-term vision alignment
- 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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