Software Engineer, Fraud & Identity

Ramp Ramp · Fintech · New York, NY · Engineering

Software Engineer to build backend services for fraud detection, identity management, and risk decisioning within Ramp's financial infrastructure. Focus on security, risk, and user experience, driving end-to-end delivery and operating production systems.

What you'd actually do

  1. Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement.
  2. Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers.
  3. Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls (for example “under attack” style controls and MFA surge detection/alerting).
  4. Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns.
  5. Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives).

Skills

Required

  • backend services
  • distributed systems
  • data modeling
  • reliability
  • production systems operation
  • debugging
  • incident response
  • instrumentation
  • automation
  • cross-functional communication

Nice to have

  • fraud
  • risk
  • identity
  • authentication
  • authorization
  • abuse prevention
  • security engineering
  • payments rails
  • card transaction risk
  • account security patterns
  • internal tools for operations teams
  • case management
  • investigation
  • enforcement workflows

What the JD emphasized

  • 3+ years of software engineering experience
  • Strong backend engineering fundamentals
  • Experience building data-informed detection or decisioning systems
  • Proven ability to operate production systems