Amazon
Software Development Engineer, AWS Config
$144K–$194K
Seattle, WA · Full-time · Posted Aug 4, 2026
- Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ years as a software development engineer or related occupation; 1+ years developing large-scale software using C#, C++, Java, or Perl; 1+ years of Object Oriented Design. Preferred: 3+ years of full software development life cycle experience.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field. Preferred: Bachelor's degree in computer science or equivalent.
About the job
Build and operate AWS Config distributed services and AI agents that automate resource type onboarding, from research and schema authoring through testing, validation, and deployment.
What you'll do
- Design, build, and operate highly available distributed services and AI agent orchestration systems.
- Own solutions and agentic workflows across design, implementation, deployment, monitoring, support, and operational excellence.
- Mentor junior engineers and make data-driven decisions on ambiguous problems and competing priorities.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience, and 1+ years of software development engineer or related occupational experience.
- 1+ years developing large-scale software applications, tools, systems, or services 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 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
AWS Config, C#, C++, Java, Perl
AI focus
Design and build agentic AI systems to automate resource type onboarding, including agents that reason about AWS service APIs, author configuration schemas, and validate correctness with minimal human intervention.
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