Amazon
Software Development Engineer II, AWS Healthcare AI
$144K–$194K
Seattle, WA · Full-time · Posted Aug 3, 2026
- Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years large-scale software application development; 1+ years Object Oriented Design. Preferred: 3+ years full software development life cycle.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Develop and operate AWS healthcare services that use AI to improve clinical and administrative workflows for healthcare providers.
What you'll do
- Design, develop, deploy, and maintain healthcare cloud services and optimize machine learning models.
- Collaborate across product, science, and engineering teams on product roadmaps and architectural decisions.
- Support the full software lifecycle, including testing, code reviews, operations, and healthcare compliance.
What they ask for
- 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture experience; 1+ years of software development engineer or related occupational experience.
- 1+ years designing and developing large-scale software applications using C#, C++, Java, or Perl; 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Experience with a programming language, distributed computing, machine learning concepts, data structures, algorithms, software design patterns, and agile development methodologies.
Nice to have
- 3+ years of full software development life cycle experience.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
AWS, C#, C++, Java, Perl, Machine Learning, LLM
AI focus
Develop AI-powered healthcare solutions using generative and agentic AI; implement and optimize machine learning models for healthcare applications.
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