Role at a glance
- Job function
-
Software Engineering & IT Backend Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Arlington, Virginia, United States
- Work arrangement
- On-site
- Experience
- 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 - 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
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Role Summary
The Software Development Engineer on AWS Fraud Prevention designs and operates scalable systems that detect and help prevent fraud, abuse, and account compromise. The role builds backend services and machine-learning-powered detection systems, and develops automation to triage fraud signals.
What You'll Do
- Design, build, and operate distributed backend services and serverless workflows for fraud prevention.
- Design and implement features in Java or TypeScript using Lambda, DynamoDB, EventBridge, and CDK-managed deployment pipelines.
- Deploy, monitor, and operate services, with responsibility for their full lifecycle and reliability.
- Build agentic and LLM-based automation to triage fraud signals.
- 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: 3+ years of non-internship professional software development experience; 2+ years of non-internship experience in design or architecture of new and existing systems; programming experience with at least one software language.
Required
- 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
- Experience programming with at least one software programming language
Preferred
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes,...
- 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, build, and operate highly scalable distributed systems to create backend services and serverless workflows that take actions where correctness directly protects AWS customers and revenue.
- Own features end to end: write design docs, implement in Java/TypeScript on Lambda, DynamoDB, and EventBridge, and ship through CDK-managed pipelines that deploy to 38+ commercial regions plus GovCloud and sovereign clouds.
- 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.
- Build agentic and LLM-based automation that triages fraud signals and use AI developer tools daily.
- Learn from others, mentor teammates, and contribute to a culture of engineering excellence and continuous improvement.
- 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.
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
- 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, VA, Arlington - 143,700.00 - 194,400.00 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.