Amazon
Software Development Engineer, Agentic Workspaces
$144K–$194K
Sunnyvale, CA +1 · Full-time · Posted Aug 13, 2026
- Location
- Sunnyvale, CA
Seattle, WA - Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ years of software development engineer or related occupational experience; 1+ years developing large-scale software with a listed language; 1+ years of Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Designs, builds, and operates WorkSpaces on-instance software and services that provision, secure, and maintain Windows and Linux workspaces for people and AI agents.
What you'll do
- Deliver OIS features end-to-end, from design through deployment and operations, and contribute to architecture strategy.
- Build unified Windows and Linux capabilities, including identity, security, and governance for human users and AI agents.
- Operate highly available provisioning and agent services; improve diagnostics, automated testing, deployment, and customer self-service.
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.
- Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
Windows, Linux, C#, C++, Java, Perl, AWS
AI focus
Develops a workspace platform for AI agents alongside humans, with identity, security, and governance; explores AI-powered conversational setup, natural-language troubleshooting, and AI-assisted fleet management.
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