Software Development Engineer, Data Analytics Integration AI and Platform Excellence

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

Software Development Engineer role focused on building AI/ML-powered products and infrastructure for data integration workflows within Amazon's AWS Utility Computing organization. The role involves designing, developing, and optimizing AI/ML systems, collaborating with data scientists, and contributing to the full software development lifecycle.

What you'd actually do

  1. Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
  2. Build and own critical infrastructure powering Amazon's next-generation AI capabilities
  3. Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
  4. Optimize existing algorithms and systems for performance, scalability, and reliability
  5. Contribute to the full software development lifecycle, from conception to production deployment

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

What the JD emphasized

  • core algorithms
  • AI/ML
  • data integration workflows
  • AI capabilities
  • AI infrastructure
  • product development
  • AI initiatives

Other signals

  • AI/ML-powered products for data integration workflows
  • Build and own critical infrastructure powering Amazon's next-generation AI capabilities
  • Collaborate with data scientists and ML experts to transform innovative ideas into production systems