Software Development Engineer, Vendor Funding Calculation Team, Vendor Funding

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

Software Development Engineer role focused on applying AI/ML to complex business problems within the Vendor Funding team at Amazon. The role involves leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products and services to drive business value. While the company is exploring AI integration, the core responsibilities are in software development and applying existing AI tools rather than building core AI models.

What you'd actually do

  1. We are seeking SDEs who want to stretch both their technical abilities and their business awareness while solving such problems.
  2. These projects have huge visibility and impact as those are tied very closely to Amazon’s profitability and growth.
  3. Are you seeking an environment where you can drive innovation?
  4. Do you want to apply machine learning to solve real world problems?
  5. Do you want to pave the future of Amazon Retail, enhancing how we do business?

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

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
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

What the JD emphasized

  • apply machine learning to solve real world problems