Drimva

Amazon

Software Development Engineer, Agentic Workspaces

$144K–$194K

Seattle, WA · Full-time · Posted Aug 13, 2026

Experience
3+ years of non-internship professional software development; 2+ years of non-internship systems design or architecture; 1+ years of software development engineer or related occupational experience; 1+ years developing large-scale software applications, tools, systems, and services; 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

Build and operate the on-instance software, services, and agents that provision and manage secure Amazon WorkSpaces for people and AI agents across Windows and Linux.

What you'll do

  • Design and deliver On-Instance Software features, including shared Windows and Linux capabilities and agent identity, security, and governance.
  • Operate highly available, low-latency provisioning and agent services, with diagnostics and autonomous issue resolution.
  • Improve engineering excellence through instrumentation, automated testing, and pipeline-based deployment.

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.
  • Experience developing large-scale software using C#, C++, Java, or Perl; experience with at least one programming language and Object Oriented Design.
  • 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.
  • Bachelor's degree in computer science or equivalent.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

Windows, Linux, C#, C++, Java, Perl, AWS

AI focus

Develop a workspace platform where AI agents work alongside people, with shared identity, security, and governance; explore conversational setup, natural-language troubleshooting, AI-assisted fleet management, and autonomous issue resolution.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)