Amazon
Software Development Engineer, AWS Payments & Fraud Prevention
$144K–$194K
Seattle, WA · Full-time · Posted Oct 10, 2026
- Experience
- 3+ years of professional software development; 2+ years of system design or architecture; 1+ years in software development engineering or related work; 1+ years developing large-scale software with a listed language and in Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build and operate large-scale data platforms and tools that support AWS fraud detection, analytics, and secure access to payments and fraud data.
What you'll do
- Design and optimize batch and near-real-time data pipelines and data access layers.
- Build ML- and rules-engine datasets, natural-language-to-SQL tools, dashboards, and data catalogs.
- Implement data quality, security, governance, and observability capabilities.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
- 1+ years of experience developing large-scale software using C#, C++, Java, or Perl; 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming in at least one language.
Nice to have
- 3+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
Amazon Managed Airflow (MWAA), Fargate, EMR, Apache Iceberg, Amazon Redshift, OpenSearch, DynamoDB DAX, Amazon Bedrock
AI focus
Use Amazon Bedrock and LLMs to build a natural-language-to-SQL tool; provide datasets for fraud-detection ML models.
Model-written summary · the original posting is authoritative