Software Engineer, Ramp

• 3+ years of software engineering experience (or equivalent)
• Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
• Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain
• Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation
• Strong cross-functional communication skills and comfort working with product and operations partners

Desirable

• We are hiring a Software Engineer to build systems across Fraud, UIM (User & Identity Management), and Identity
• This role sits at the intersection of security, risk decisioning, and product experience
• You will help build detection and enforcement capabilities for fraud and account takeover, as well as the identity primitives that power authentication, authorization, and safe account access
• This work is deeply cross-functional
• You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship improvements that are measurable in loss reduction, attack containment, and user experience
• Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement
• Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers
• 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)
• Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns
• Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives)
• Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics