Hiring: Software Development Manager, AWS Payments & Fraud Prevention Company: Amazon Web Services (AWS) Location: Seattle, WA Job Posted Time: 2026-09-17 05:24:34 Target Skills & Keywords : AWS, Flink, Machine Learning, Neptune About the job Experience: •3+ years of engineering team management experience •7+ years of working directly within engineering teams experience •3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience •8+ years of leading the definition and development of multi tier web services experience Required Skills: •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 software development manager to help us stay one step ahead of bad actors. •Own and operate a large-scale data ingestion platform processing 18+ billion events per day, ensuring data is ingested, enriched, and transformed in near real-time to power fraud detection and prevention across the organization. •Lead the design, development, and maintenance of real-time intelligence pipelines using Apache Flink for data aggregation, anomaly detection, and usage pattern analysis. •Strategically drive development of a graph database of millions of nodes and edges to model account relationships and surface fraud signals. •Ensure high availability, reliability, and scalability of all platform services, including data vending APIs operating at 4,500+ TPS, as business demands and the AWS customer base grow. •Own day-to-day team operations, including sprint planning, technical design reviews, operational excellence, and on-call management. •Plan and execute the team's multi-year technical strategy, aligning platform capabilities with evolving business and security needs. •Collaborate closely with Applied Scientists to identify and deliver the data products they need to detect and prevent fraud and account compromise faster. Qualifications: •Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!