Senior Software Development Engineer, Sponsored Products and Brands - Marketplace Intelligence

Amazon Amazon · Big Tech · NY +1 · Software Development

Senior Software Development Engineer focused on building and scaling ML infrastructure and low-latency distributed systems for Amazon's Sponsored Products advertising platform, optimizing shopper experience and integrating generative AI technologies.

What you'd actually do

  1. own and drive the technical vision and strategy for major product and engineering initiatives that span multiple teams and organizations.
  2. architect and lead the development of large-scale, low-latency distributed systems, ML infrastructure, and data processing pipelines that serve as foundational platforms for teams across the Sponsored Products organization.
  3. establish deep partnerships with science, product, and engineering teams across Ads and Retail, driving alignment on technical direction and influencing roadmaps beyond your immediate team.
  4. lead cross-functional initiatives that require coordinating deliverables across multiple teams, resolving ambiguity, and ensuring cohesive end-to-end solutions.
  5. mentor engineers within and outside your team, raising the technical bar through design reviews, operational excellence standards, and engineering best practices.

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 5+ 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

What the JD emphasized

  • low-latency distributed systems
  • ML infrastructure
  • generative AI technologies

Other signals

  • ML infrastructure
  • large-scale, low-latency distributed systems
  • data processing pipelines
  • optimize shopper experience at scale
  • generative AI technologies