Software Engineer, Fraud & Identity

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.

- 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.

- 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).