Software Development Engineer, AWS Payments & Fraud Prevention

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

Job summary

Amazon is seeking a talented SDE to help build highly scalable distributed systems that process millions of events per second and to develop ML-powered detection pipelines. You’ll work on graph-based intelligence with AWS Neptune and real-time decisioning, ensuring 24/7 availability and strong operational excellence.

The role involves collaborating with scientists, shipping production-grade code, and mentoring teammates in a fast-paced, agile environment at AWS scale.

Qualifications

• 3+ years of professional software development experience
• 2+ years of design or architecture experience for large-scale systems
• 1+ years of SDE or equivalent experience
• 1+ years designing and developing large-scale distributed software
• 1+ years of Object Oriented Design experience
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• Experience programming with at least one language

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.

Skills

Software development experience

Design patterns

Object-oriented design

Multi-threaded / distributed systems

C# / C++ / Java / Perl

Education

Bachelor's degree in CS/Engineering

Tools

Apache Flink

AWS Neptune

Languages: C#, C++, Java, Perl

Job description

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.

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ 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 - 143,700.00 - 194,400.00 USD annually