Role at a glance
- Job function
-
Software Engineering & IT Backend Engineering
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
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Role Summary
The SDE designs and operates scalable, low-latency systems for AWS payments and fraud prevention. The role builds real-time detection capabilities and integrates machine learning into decisioning systems.
What You'll Do
- Design, implement, and operate distributed systems that process high volumes of events with low latency.
- Build fraud detection pipelines using Apache Flink for stream processing, aggregations, and anomaly detection.
- Develop graph-based intelligence solutions on AWS Neptune to identify hidden relationships and fraud rings.
- Manage solutions through design, implementation, deployment, monitoring, and operations.
- Collaborate with applied scientists to integrate machine learning models into real-time decisioning systems.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language
- 5+ years of leading design or architecture of new and existing systems, including design patterns, reliability, and scaling
- Experience as a mentor, tech lead, or leading an engineering team
Preferred
- 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build...
- Bachelor's degree in computer science or equivalent
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Basic Qualifications
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.