Amazon
Software Development Engineer, Leo Commerce Data Platform
$144K–$194K
Redmond, WA · Full-time · Posted Sep 15, 2026
- Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years designing and developing large-scale software using C#, C++, Java, or Perl; 1+ years Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Designs, builds, and operates the data platform services and distributed systems that support Amazon Leo Commerce.
What you'll do
- Design and implement distributed cloud architectures and ETL capabilities that move data from producers to consumers.
- Own schema evolution across Iceberg, Glue registry, and DataZone, and define data platform standards and quality frameworks.
- Operate components through monitoring, alerting, retry and dead-letter handling, and incident root-cause analysis.
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.
- 1+ years designing and developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl; and 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming 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
C#, C++, Java, Perl, Iceberg, Glue registry, DataZone
AI focus
Solve novel problems at the intersection of AI, distributed systems, and financial domain complexity.
Model-written summary · the original posting is authoritative