Ramp

Software Engineer, Fraud & Identity

Ramp2 days ago
Location

New York, NY (HQ)

Type

Full Time

Salary

USD 168,000 – 284,900

Level

Senior

Role

Software Engineer

Posted

Mar 27, 2026

Full TimeSenior

The role

Summary

Ramp is seeking a Software Engineer specializing in Fraud & Identity to build critical security and risk management systems that protect financial transactions and user accounts. The ideal candidate will develop sophisticated backend services to detect, prevent, and mitigate fraud while enhancing authentication and authorization mechanisms across the company's financial infrastructure.

What you'll do

Fraud Detection Systems: Build and evolve backend services to detect and prevent fraud across multiple surfaces, including account access and money movement.
Security Enforcement: Develop enforcement and response tooling enabling fast, safe actions like identity locks, business locks, and payment freezes.
Account Protection: Implement advanced protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls.
System Observability: Design and operate high-signal systems with comprehensive observability, including metrics, dashboards, alerting, and incident response playbooks.
Identity Management: Collaborate with UIM/Identity stakeholders to strengthen authentication and identity foundations, including roles, permissions, and identity state management.

What we look for

Technical

Backend EngineeringStrong fundamentals in APIs, distributed systems, data modeling, and system reliability
Detection SystemsExperience with data-informed detection or decisioning systems, including rules engines, scoring, and anomaly detection
Production SystemsProven ability to manage production environments, including debugging, incident response, and system instrumentation

Education

Technical DegreeBachelor's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Professional ExperienceMinimum 3+ years of software engineering experience or equivalent
Cross-functional CollaborationDemonstrated ability to work effectively with product, operations, and cross-functional teams

Skills

Required skills

Backend DevelopmentExpertise in building scalable backend services and distributed systems
System SecurityStrong understanding of fraud detection, risk management, and security principles
Programming LanguagesProficiency in modern backend programming languages and frameworks

Nice to have

Security SpecializationExperience in fraud, risk, identity, authentication, or security engineering
Payment SystemsFamiliarity with payment rails, card transaction risk, and account security patterns

Compensation & benefits

Salary

USD 168,000 – 284,900 (annual)

Stock options

Available

Benefits

Healthcare

100% coverage for medical, dental & vision insurance, including One Medical membership

Retirement

401k with employer match on contributions

Flexible Work

Flexible PTO and hybrid work arrangement

Family Support

Fertility HRA up to $10,000 annually and comprehensive parental leave

Professional Development

Home office equipment, health and wellness stipend, and travel budget

Interview process

  1. 1
    Initial Screening — Phone or video call with recruiting team to discuss background and role fit
  2. 2
    Technical Assessment — Online coding challenge or take-home project focusing on backend and security skills
  3. 3
    Technical Interviews — Multiple rounds of interviews with engineering team, covering system design, coding, and problem-solving
  4. 4
    Final Interview — Meeting with hiring manager and potential team members to assess cultural fit and final evaluation
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Ramp

Ramp

View all jobs

Make expense management easy with Ramp's spend management platform. Combine global corporate cards, travel, expenses and accounts payable to automate finance operations and improve efficiency.

New York City, New York, United StatesFounded 2019ramp.com

Tech Stack

Languages
PythonGo
Frameworks
gRPCFastAPI
Databases
PostgreSQLRedis
Tools
KubernetesPrometheus
Other
Machine Learning
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