Software Development Engineer, AWS Fraud Prevention

Amazon Web Services (AWS); Arlington (VA); Presencial; USD 144.000 - 194.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

RSUs

401(k) matching

Paid time off

Descripción de la vacante

Amazon Web Services, Inc. seeks a highly skilled SDE to design, build, and operate scalable distributed systems that process millions of events per second and protect AWS customers.

You'll work with Java/TypeScript on Lambda, DynamoDB, and EventBridge, own features end to end, and collaborate with researchers to integrate ML models into real-time decisions at AWS scale.

Formación

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience.
• Experience programming with at least one language (Java/TypeScript).

Responsabilidades

• Design, build, and operate scalable distributed backend services and serverless workflows.
• Own features end to end: write design docs, implement in Java/TypeScript on Lambda, DynamoDB, and EventBridge, and ship through CDK-managed pipelines.
• Write 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 ML models into real-time decisioning systems.
• Learn from others, mentor teammates, and contribute to engineering excellence.

Conocimientos

Software development

System design

Programming languages

Educación

Bachelor's degree in CS

Herramientas

Lambda

DynamoDB

EventBridge

CDK

Descripción del empleo

Description

Are you passionate about building highly scalable distributed systems that protect millions of customers? Do you want to work on a team that has AI first approach to all problems? 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, 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&DD 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

Company

Amazon Web Services, Inc.

Job ID: A10580456