Amazon
Software Development Engineer, AWS DynamoDB
$144K–$194K
Seattle, WA · Full-time · Posted Aug 21, 2026
- Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ year of software development engineer or related occupational experience; 1+ year developing large-scale software applications using C#, C++, Java, or Perl; 1+ year of 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 test infrastructure for DynamoDB, enabling engineers and AI agents to validate changes, run tests, and qualify releases.
What you'll do
- Design, build, and operate DynamoDB test clusters, frameworks, and tooling.
- Provide AI agents with on-demand test clusters and actionable results, logs, and metrics.
- Own features end to end, reduce test delays and infrastructure failures, and debug root causes across services.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
- At least 1 year of experience developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl; and at least 1 year 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, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl
AI focus
Build test infrastructure that AI agents can use autonomously, including on-demand clusters and actionable test results, logs, and metrics, enabling AI-assisted development and automated testing.
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