Software Dev Engineer Ii, Aws Web Toolkit, Platform Experience

Amazon Amazon · Big Tech · East Palo Alto, CA · Software Development

Software Development Engineer II for AWS User Experience Products & Platform team, focusing on building an intelligent, agent-powered system to automate and accelerate AWS Management Console development. The role involves designing and architecting a multi-agent system leveraging LLMs, tool-use, and autonomous reasoning to generate, validate, and deploy console experiences.

What you'd actually do

  1. Architect and build a multi-agent system that automates and accelerates console development for 200+ AWS service teams.
  2. Design agentic AI workflows that leverage large language models (LLMs), tool-use patterns, and autonomous reasoning to generate, validate, and deploy console experiences.
  3. Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
  4. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
  5. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.

Skills

Required

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Knowledge of machine learning model architecture and inference

What the JD emphasized

  • multi-agent system
  • agentic AI workflows
  • LLMs
  • tool-use patterns
  • autonomous reasoning

Other signals

  • intelligent, agent-powered system
  • AI-driven automation
  • autonomous agents
  • multi-agent system
  • agentic AI workflows
  • LLMs
  • tool-use patterns
  • autonomous reasoning