Software Developer Engineer, Amazon WorkSpaces Core Managed Instances
Role Overview
Build and operate scalable distributed infrastructure for intelligent agentic AI systems and virtual desktop experiences.
Work across end-user experiences, platform services, and system components for provisioning, management, and performance at scale.
Amazon WorkSpaces Core provides managed virtual desktop infrastructure that integrates with third-party management solutions.
Key Skills for This Role
Full Job Posting
Role overview
Build and operate scalable distributed infrastructure for intelligent agentic AI systems and virtual desktop experiences.
Work across end-user experiences, platform services, and system components for provisioning, management, and performance at scale.
Amazon WorkSpaces Core provides managed virtual desktop infrastructure that integrates with third-party management solutions.
Basic qualifications
- At least 3 years of non-internship professional software development experience.
- At least 2 years designing or architecting systems, including design patterns, reliability, and scaling.
- At least 1 year of software development engineer or related occupational experience.
- At least 1 year developing large-scale software using C#, C++, Java, or Perl.
- At least 1 year of object-oriented design experience.
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; programming experience in at least one language.
Preferred qualifications
- Preferred: 3+ years across the software development lifecycle, including coding standards, code reviews, source control, builds, testing, and operations.
- Preferred: bachelor’s degree in computer science or equivalent.
Compensation
- The description lists annual base salary ranges of $165,200–$223,600 in Sunnyvale and $143,700–$194,400 in Seattle.
- Compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.
Responsibilities
- Design, develop, and operate massively scalable distributed infrastructure for intelligent agentic AI systems and virtual desktop experiences.
- Work across the technology stack, including end-user experiences, platform services, and system components for provisioning, management, and performance at scale.
- Collaborate with engineers to solve technical challenges and build customer-focused solutions.
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