SDE — Agentic Workspaces: AI-Driven Desktop Platform

Amazon Inc.; Seattle (WA); Hybrid; USD 143,000 - 194,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Software Development Engineer to design, build, and operate the On-Instance Software that powers Agentic WorkSpaces across Windows and Linux. You will own features end-to-end, collaborate across AWS teams, and deliver high-availability, secure provisioning for millions of users.

The role emphasizes solving OS, identity, and AI integration challenges at scale, with a focus on automated testing, instrumentation, and deployment pipelines.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years in design or architecture of large systems.
• Bachelor’s degree in CS, engineering, math, or a related field.
• Experience with at least one programming language.
• Ability to work across Windows/Linux and AI agent integration.

Responsibilities

• Design and deliver features within On-Instance Software architecture.
• Unify Windows and Linux features from a single codebase.
• Implement on-instance identity, security, and governance.
• Operate low-latency, high-availability provisioning services for millions of users.
• Instrument, test, and deploy via CI/CD across platforms.
• Enable self-service, safe updates, and autonomous troubleshooting.

Skills

3+ years of non-internship

2+ years design/architecture

1+ years of SDE experience

C#, C++, Java, or Perl

1+ years OO design

Bachelor's degree in CS/Engineering/MI

Programming with at least one language

Education

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Job description

Amazon Web Services (AWS) seeks a Software Development Engineer to design, build, and operate the On-Instance Software that powers Agentic WorkSpaces across Windows and Linux. You will own features end-to-end, collaborate across AWS teams, and deliver high-availability, secure provisioning for millions of users.

The role emphasizes solving OS, identity, and AI integration challenges at scale, with a focus on automated testing, instrumentation, and deployment pipelines.