DirectJobHub
Jobs · Consulting · Washington

Software Development Engineer, AWS SMGS Ops - AFX - Sales Planning Tools

Amazon Web Services (AWS) · Seattle, WA · 3 wk ago
ConsultingFull-time

About the role

As a member of AWS AFX - Planning Tools team, you will shape the AWS business's direction as a whole. You will build greenfield solutions from the ground up while using native AWS services and frameworks. The right candidate will have a robust system delivery background, well-rounded technical knowledge, and demonstrated experience working on large scale projects. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate should be comfortable working in an agile environment and collaborating with multiple teams. You will design and build scalable platforms that enable AWS to sell new products and services with the necessary speed to market.

Responsibilities

  • Write, test and deploy code using Amazon and AWS tools.
  • Perform technical analysis, design, development, implementation of applications.
  • Participate in the planning and analysis of requirements for system enhancements, translating requirements into well-architecture solutions.
  • Troubleshoot and fix defects for planned releases and production issues.
  • Work with a cross-functional Scrum team and product manager to maintain and enhance products and services.
  • Participate in on-call rotation.

Requirements

  • 3+ years of non-internship professional software development experience
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
  • Bachelor's degree in computer science or equivalent

Qualifications

  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
  • Experience developing, deploying and managing AI products at scale
  • Experience with spec based development using IDE like Kiro
  • Experience with designing, developing, testing, and supporting AI solutions in production

Similar jobs