Software Development Engineer Ii, Aws Healthcare AI

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II role within AWS Healthcare AI, focusing on developing and deploying AI-powered healthcare solutions. The role involves leveraging generative and agentic AI to enhance clinical and administrative workflows, implementing and optimizing ML models, and contributing to scalable cloud services. The position requires experience in full software development lifecycle and familiarity with ML concepts.

What you'd actually do

  1. Design, develop, deploy, and maintain AWS healthcare services using cloud computing and AI technologies
  2. Collaborate with cross-functional teams including product managers, applied scientists, and other engineers to define and execute on our product roadmap
  3. Implement and optimize machine learning models for healthcare applications
  4. Contribute to architectural decisions for scalable, reliable, and efficient cloud services
  5. Ensure high standards of code quality through code reviews, automated testing, and continuous integration

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ 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
  • 1+ years 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
  • Familiarity with machine learning concepts and their practical applications
  • Knowledge of data structures, algorithms, and software design patterns
  • Experience with agile development methodologies
  • Strong problem-solving skills and attention to detail

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
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architec

What the JD emphasized

  • healthcare industry standards

Other signals

  • developing AI-powered healthcare solutions
  • generative and agentic AI
  • clinical and administrative workflows
  • implement and optimize machine learning models