Software Development Engineer Ii, Ses

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II role within AWS Applied AI Solutions, focusing on building and improving backend and customer-facing email services. The role involves developing reliable, scalable, and fault-tolerant solutions, collaborating with other engineers and technology leaders, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, including architecture, training/inference lifecycles, and optimization.

What you'd actually do

  1. work on backend and customer-facing systems, contributing to the development and improvement of our email services
  2. focus on building reliable and scalable solutions, collaborating with other engineers to solve complex technical challenges, and ensuring our services are highly available and scalable to meet the needs of our global customer base
  3. work with customers and other technology leaders at Amazon to translate strategic business needs into features and projects, with an opportunity to participate in strategic planning, contributing to the overall direction of the service
  4. contribute to fostering a culture of creativity and openness
  5. resolve the root cause so that we aren’t paged for the same issue twice

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
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Nice to have

  • Bachelor's degree in computer science or equivalent
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience designing, building, operating, and managing large-scale distributed systems or web services
  • Experience building and operating online services and fault-tolerant distributed systems

What the JD emphasized

  • Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Other signals

  • AWS Applied AI Solutions
  • leveraging Amazon’s unique experience and expertise
  • accelerating our customers’ businesses
  • building reliable and scalable solutions
  • solve complex technical challenges
  • highly available and scalable
  • translate strategic business needs into features and projects
  • contributing to the overall direction of the service
  • fostering a culture of creativity and openness
  • work with customers and other technology leaders at Amazon
  • fault-tolerant
  • resolve the root cause
  • Machine Learning and Large Language Model fundamentals
  • architecture, training/inference lifecycles, and optimization of model execution