Amazon
Software Development Engineer II, Agentic WorkSpaces Client
$144K–$224K
Sunnyvale, CA +1 · Full-time · Posted Sep 4, 2026
- Location
- Sunnyvale, CA
Seattle, WA - 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 with a listed language; 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
Designs, builds, and operates native and web client capabilities for Amazon WorkSpaces, including secure access and experiences for people and AI agents.
What you'll do
- Own customer-facing features from design through production across native and web clients.
- Develop secure session connectivity, client lifecycle, cross-platform architecture, performance, updates, telemetry, and integrations.
- Collaborate across AWS to resolve complex issues and maintain security, reliability, and operational excellence.
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.
- At least 1 year designing and developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl; and 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.
- Experience leading large projects or architecting, securing, and operating Amazon Web Services and client software.
Pay
USD 165,200.00 - 223,600.00 annually (base salary); USD 143,700.00 - 194,400.00 annually (base salary)
Tools
C#, C++, Java, Perl, Amazon Web Services
AI focus
Evolving WorkSpaces clients to support AI agent workflows, including secure access, enterprise permissions, governance, observability, and human oversight.
Model-written summary · the original posting is authoritative