Software Development Engineer, Chronicle Analytics

Amazon Amazon · Big Tech · CA, BC +1 · Software Development

Software Development Engineer role focused on building sophisticated tools for Amazon's Consumer businesses, supporting deep dive analysis, vendor negotiations, and business planning. The role involves translating requirements into architecture and software solutions, coding, testing, and ensuring system quality, scalability, reliability, and performance. While not core AI development, it involves leveraging and integrating generative AI tools to enhance workflow and products.

What you'd actually do

  1. Translate functional and technical requirements into detailed architecture/design/working software solutions by working with PM, UX designers, and customers.
  2. Designing and developing software products that impact many areas of our business
  3. Code and test system components; participate in code and design reviews.
  4. Demonstrate ownership of end-to-end code quality, system tests, functional tests, and integration.
  5. Partner/Collaborate across teams/roles to deliver results.

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
  • 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

  • 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.