Software Engineer, Fraud & Identity

What You’ll Do

• 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.

What You’ll Need

• 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.

Nice to Have

• Experience in fraud, risk, identity, authentication, authorization, abuse prevention, or security engineering.
• Familiarity with payments rails, card transaction risk, or account security patterns.
• Experience building internal tools for operations teams (case management, investigation, enforcement workflows).