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October 18, 2026
Software Development Engineer (AWS Fraud Prevention)
Mid
179,000 - 212,000 USD/yr
Arlington, VA
Quick Facts
Role: Software Development Engineer (AWS Fraud Prevention)
Focus: Real-time fraud prevention systems at AWS scale using scalable distributed backend services, ML detection pipelines, and automation
Description
Design and build highly scalable distributed systems and serverless workflows that process millions of events and power real-time fraud detection.
Own features end to end—from design documentation and implementation in Java/TypeScript on AWS services to deployment and operational monitoring—delivering measurable protection for AWS customers and revenue.
Collaborate with applied scientists to integrate machine learning into real-time decisioning systems and build agentic/LLM-based automation to triage fraud signals.
Responsibilities
Design, build, and operate backend services and serverless workflows where correctness directly protects customers and revenue
Deliver features end to end: write design docs, implement in Java/TypeScript on Lambda, DynamoDB, and EventBridge, and ship via CDK-managed pipelines to 38+ commercial regions plus GovCloud and sovereign clouds
Write high-quality, production-ready code for services available 24/7 with zero tolerance for downtime
Own the full lifecycle: design, implementation, deployment, monitoring, and operational excellence
Build agentic and LLM-based automation that triages fraud signals using AI developer tools daily
Mentor teammates and contribute to 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 solving complex problems with measurable impact
Requirements
3+ years of non-internship professional software development experience
2+ years of non-internship experience designing or architecting systems (design patterns, reliability, scaling)
Experience programming with at least one software programming language
Preferred Qualifications
3+ years of full software development lifecycle experience (coding standards, code reviews, source control management, build processes, testing, operations)
Bachelor’s degree in computer science or equivalent
Benefits
Sign-on payments and restricted stock units (RSUs)
Comprehensive health insurance (medical, dental, vision, prescription) and Basic Life & AD&D; options for Supplemental life
EAP, Mental Health Support, Medical Advice Line
Flexible Spending Accounts
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement
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