Software Development Engineer, AWS Fraud Prevention

Amazon is hiring a Software Development Engineer, AWS Fraud Prevention in Arlington, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Level.

AI in this role

Design and build scalable distributed systems and machine learning-powered pipelines to protect AWS from fraud and abuse.

javatypescriptaws-lambdadynamodbeventbridgeapache-flinkaws-neptune

distributed-systemsmachine-learningfraud-detectionbackendllm

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&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

How we rate this

Software Development Engineer, AWS Fraud Prevention at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Software Development Engineer, AWS Fraud Prevention is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, VA, Arlington.
The job was posted on October 15, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsMachine learningFraud DetectionBackendLLMJavaTypeScriptAWS Lambda

Also common in software engineer jobs at this level

Python C++AI agents Kubernetes Generative AI RAG

Pay

This job starts at: $144k
Typical software engineer job: $168k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where backend was part of your work. What did you do?
Tell me about a project where llm was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Distributed Systems, Machine learning, Fraud Detection, Backend, and LLM. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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