Amazon
Software Development Engineer II, Agentic WorkSpaces Client
$144K–$224K
Sunnyvale, CA +1 · Full-time · Posted Sep 24, 2026
- Location
- Sunnyvale, CA
Seattle, WA - Experience
- 3+ years non-internship professional software development; 2+ years non-internship design or architecture; 1+ year software development engineer or related occupational experience; 1+ year developing large-scale software using a listed language; 1+ year 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 secure native and web clients for Amazon WorkSpaces, extending them to support enterprise AI-agent workflows.
What you'll do
- Design, build, and operate customer-facing client features, owning them from design through production.
- Develop secure session connectivity, cross-platform architecture, user experience, performance, updates, telemetry, and workflow integrations.
- Collaborate across AWS to resolve complex customer-environment issues and uphold security, reliability, and operational standards.
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 using C#, C++, Java, or Perl; at least 1 year of Object Oriented Design experience; and experience programming in at least one software language.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- 3+ years of full software development life cycle experience.
- Experience leading large projects or architecting, securing, and operating AWS and client software.
Pay
165,200.00 - 223,600.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, Amazon Web Services
AI focus
Develop client software through which enterprise AI agents can securely access and operate desktop and web applications, with permissions, governance, observability, and human oversight.
Model-written summary · the original posting is authoritative