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 backend and customer-facing systems for Amazon Simple Email Service (SES). The role involves building reliable, scalable solutions, collaborating on complex technical challenges, and contributing to strategic planning. Requires experience with ML/LLM fundamentals, architecture, training/inference lifecycles, and model 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. This position involves on-call responsibilities.

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

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 through delivery of intuitive and differentiated technology solutions
  • redefine the email communication experience for people and applications
  • revolutionize email experiences for our customers and their end users
  • creating richer, more engaging email functionalities
  • innovating at every step to provide a seamless, unified experience
  • building reliable and scalable solutions
  • solve complex technical challenges
  • highly available and scalable to meet the needs of our global customer base
  • translate strategic business needs into features and projects
  • contributing to the overall direction of the service
  • fostering a culture of creativity and openness
  • encourage innovation and growth
  • mentoring and supporting your colleagues
  • Knowledge sharing and professional development are important
  • work to ensure that our systems are fault-tolerant
  • resolve the root cause so that we aren’t paged for the same issue twice
  • Amazon values diverse experiences
  • If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying
  • pioneered cloud computing and never stopped innovating
  • work-life harmony
  • flexible work hours and arrangements are part of our culture
  • Inclusive Team Culture
  • learn and be curious
  • employee-led affinity groups foster a culture of inclusion
  • empower us to be proud of our differences
  • never stop embracing our uniqueness
  • Mentorship and Career Growth
  • raising our performance bar
  • endless knowledge-sharing, mentorship and other career-advancing resources
  • develop into a better-rounded professional
  • Machine Learning and Large Language Model fundamentals
  • architecture, training/inference lifecycles, and optimization of model execution