Amazon
Software Development Engineer, Agentic AI DevOps
$144K–$194K
Seattle, WA · Full-time · Posted Sep 17, 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 specified large-scale software with C#, C++, Java, or Perl; 1+ year 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.
About the job
Build AWS DevOps Agent, an AI agent that investigates operational incidents, helps diagnose and resolve them, and improves from each investigation.
What you'll do
- Shape the service’s technical direction and architecture, including incident investigation, learning, and customer-system integrations.
- Develop service features across the lifecycle, balancing velocity with scale, security, and operational excellence.
- Work with customers to translate development challenges into product capabilities and use the agent to identify service improvements.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience with new and existing systems, including 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.
- 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 agentic AI systems that investigate and resolve operational incidents, learn from investigations, and integrate with customer systems.
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