Software Development Engineer, AWS Payments & Fraud Prevention
Are you passionate about building highly scalable distributed systems that protect millions of customers? Do you want to work at the intersection of big data, real-time intelligence, and fraud prevention? The AWS Payments & Fraud Prevention team is looking for a talented SDE to help us stay one step ahead of bad actors.
You'll design and build systems that process millions of events per second, develop machine learning-powered detection pipelines, and directly contribute to keeping AWS safe. Whether it's architecting a new real-time detection engine, optimizing our graph-based fraud network analysis, or hardening our registration fraud defenses — your work will have immediate, measurable impact at AWS scale.
Key job responsibilities
• Design, implement, and operate highly scalable distributed systems that process millions of events per second with low-latency requirements.
• Build real-time fraud detection pipelines using Apache Flink for stream processing, aggregations, and anomaly detection.
• Develop graph-based intelligence solutions on AWS Neptune to uncover hidden relationships and identify fraud rings.
• Write high-quality, production-ready code for services that must be available 24/7 with zero tolerance for downtime.
• Own the full lifecycle of your solutions — from design and implementation through deployment, monitoring, and operational excellence.
• Collaborate with applied scientists to integrate machine learning models into real-time decisioning systems.
• Work in a fast-paced, agile environment where you're solving complex problems with direct, measurable impact on AWS security.
• Learn from others, mentor teammates, and contribute to a culture of engineering excellence and continuous improvement.
About the team
The AWS Payments & Fraud Prevention team protects AWS and its customers from fraud, abuse, and account compromise at global scale. We build highly scalable, real-time systems that ingest billions of signals daily, process petabytes of data, and make split-second decisions to stop bad actors — from account registration through the entire customer lifecycle. Our stack includes Apache Flink for stream processing, AWS Neptune for graph-based intelligence, and machine learning models for adaptive detection. We're a team of builders who care deeply about customer trust and love solving complex problems at massive scale.
You'll design and build systems that process millions of events per second, develop machine learning-powered detection pipelines, and directly contribute to keeping AWS safe. Whether it's architecting a new real-time detection engine, optimizing our graph-based fraud network analysis, or hardening our registration fraud defenses — your work will have immediate, measurable impact at AWS scale.
Key job responsibilities
• Design, implement, and operate highly scalable distributed systems that process millions of events per second with low-latency requirements.
• Build real-time fraud detection pipelines using Apache Flink for stream processing, aggregations, and anomaly detection.
• Develop graph-based intelligence solutions on AWS Neptune to uncover hidden relationships and identify fraud rings.
• Write high-quality, production-ready code for services that must be available 24/7 with zero tolerance for downtime.
• Own the full lifecycle of your solutions — from design and implementation through deployment, monitoring, and operational excellence.
• Collaborate with applied scientists to integrate machine learning models into real-time decisioning systems.
• Work in a fast-paced, agile environment where you're solving complex problems with direct, measurable impact on AWS security.
• Learn from others, mentor teammates, and contribute to a culture of engineering excellence and continuous improvement.
About the team
The AWS Payments & Fraud Prevention team protects AWS and its customers from fraud, abuse, and account compromise at global scale. We build highly scalable, real-time systems that ingest billions of signals daily, process petabytes of data, and make split-second decisions to stop bad actors — from account registration through the entire customer lifecycle. Our stack includes Apache Flink for stream processing, AWS Neptune for graph-based intelligence, and machine learning models for adaptive detection. We're a team of builders who care deeply about customer trust and love solving complex problems at massive scale.