Fraud Prevention SDE: Real-Time, AI-Driven Detection

Amazon Inc.; Arlington (VA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Software Development Engineer for the Fraud Prevention team in Arlington, VA. You will design and build scalable systems to protect AWS customers, handling millions of events per second and integrating ML-driven detection.

The role emphasizes ownership, reliability, and collaboration across engineering and science teams. Join a fast-paced environment focused on security, real-time analytics, and end-to-end delivery using AWS services and CDK pipelines

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience on new or existing systems.
• Experience programming with at least one software language.

Responsibilities

• Design, build, and operate highly scalable distributed systems and backend services/serversless workflows.
• Own features end to end: design docs, implement on Lambda, DynamoDB, and EventBridge, deploy via CDK pipelines.
• Write production-ready code for services with 24/7 availability and zero downtime tolerance.
• Own the full lifecycle from design to deployment and monitoring.
• Build agentic and LLM-based automation to triage fraud signals.
• Mentor teammates and contribute to engineering excellence.
• Collaborate with scientists to integrate ML models into real-time decisioning.

Skills

Software development experience

System design and architecture

Programming languages

Education

Bachelor’s degree in CS or equivalent

Job description

Amazon Web Services, Inc. is seeking a Software Development Engineer for the Fraud Prevention team in Arlington, VA. You will design and build scalable systems to protect AWS customers, handling millions of events per second and integrating ML-driven detection.

The role emphasizes ownership, reliability, and collaboration across engineering and science teams. Join a fast-paced environment focused on security, real-time analytics, and end-to-end delivery using AWS services and CDK pipelines