Senior Distinguished I, Software Engineer

About the position

As the Sr. Distinguished Engineer for Fraud Technology, you will serve as the technical authority across both Engineering, Platform & Tools teams. You'll drive the vision, architecture, and execution of scalable fraud detection systems, integrating model infrastructure, fraud APIs, internal tools, and platforms. This role plays a critical part in enabling a modern fraud ecosystem that is reliable, efficient, and innovation-ready.

Responsibilities

• Define and lead the architecture for fraud detection infrastructure across APIs, backend systems, and platform components.
• Design end-to-end technical solutions for fraud surfaces including Sign-in, Sign-up, Returns, Payment Risk, Driver and Seller Risk.
• Own architectural evolution for shared services like the Gateway Layers, Customer Identity Graph, Device Fingerprinting, and Risk APIs.
• Partner with platform teams to modernize key components such as databases, feature stores, and streaming/batch pipelines.
• Lead development and scaling of critical internal tools.
• Drive enhancements in Rules Engines, Workflow Engines to support hybrid decision logic (rule + ML stack).
• Champion ML Ops and model lifecycle tooling to support training, deployment, monitoring, and governance at scale.
• Work closely with cross-functional pods to ensure timely and technically sound delivery of fraud solutions.
• Collaborate with QA and Release Engineering to strengthen production readiness, monitoring, and holiday resilience.
• Ensure architectural alignment and technical consistency across fraud initiatives globally.
• Mentor senior engineers and guide junior team members in technical and architectural decisions.
• Lead cross-org technical reviews and serve as a go-to expert on distributed systems and fraud infra.
• Advocate for best practices in security, scalability, cloud optimization, and cost efficiency.

Requirements

• 12+ years of experience in backend, systems, or platform engineering roles.
• Prior experience in fraud, risk, or identity domains is preferred.
• Expertise in building large-scale, distributed backend systems and APIs.
• Strong understanding of real-time data processing, model inference pipelines, and infrastructure at scale.
• Proven success designing internal tooling for analyst, operations, or data science use cases.
• Experience driving architectural transformation across both application-level and platform-level domains.
• Deep knowledge of modern ML platforms, cloud-native services, and enterprise-grade system reliability.

Nice-to-haves

• Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years' experience in software engineering or related area.
• Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• Knowledge of accessibility best practices.

Benefits

• Competitive pay and performance-based bonus awards.
• Health benefits including medical, vision and dental coverage.
• Financial benefits including 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit program for full-time and part-time associates.