Software Development Engineer, Amazon Quick

Amazon Amazon · Big Tech · Santa Clara, CA · Software Development

Software Development Engineer role focused on building features for Amazon Quick, an AI-powered assistant for enterprise productivity. The role involves developing scalable, efficient, and fault-tolerant machine learning-powered solutions that leverage generative AI and unify disparate data sources through secure connectors. The position is within the Agentic AI team, emphasizing building foundational AI services for enterprise customers.

What you'd actually do

  1. build features in Amazon Quick that is going to be trend setting in the Gen AI field
  2. solving the hardest engineering challenges to enable machine learning powered solutions for our customers
  3. deliver large scalable systems
  4. design new software systems
  5. mentor engineers and provide leadership on complex technical issues

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

  • Experience with machine learning systems is preferred, but not required
  • 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

What the JD emphasized

  • hardest engineering challenges
  • scalable, efficient, and fault tolerant
  • Agentic AI team
  • get in on the ground floor

Other signals

  • generative AI
  • AI-powered assistant
  • enterprise data
  • secure connectors
  • unify disparate data sources
  • AI/ML practitioners
  • applied scientists
  • software engineers
  • solution architects
  • foundational AI services
  • Amazon Q Business
  • Agentic AI