Jobs · Consulting · Washington

Software Development Engineer II, SCOT - Automated Inventory Mgmt

Amazon · Bellevue, WA · 5 days ago
ConsultingFull-time

Key job responsibilities

You will design and deploy AI systems/agents that drive intelligent and accelerated decision-making that transforms how Amazon delivers to millions of customers globally.

You will build Gen AI technologies with robust AWS services to build high-performance, enterprise-grade applications.

You will collaborate with product managers, and engineers across the organization to seamlessly integrate business requirements into working solutions.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

Basic Qualifications

  • 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

Preferred Qualifications

  • 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
  • Experience developing, deploying and managing AI products at scale

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