Software Dev Engineer II, AWS Builder Acceleration

Amazon
Seattle, WA, USA2026-05-08ONSITE

About the job

Are you passionate about leveraging GenAI and advanced AWS technologies to simplify builder experience and accelerate innovations at AWS scale? We are building a new organization, AWS Builder Acceleration (AWSBA), focused on reducing toil and increasing building efficiency across AWS builders. Our mission is to accelerate AWS builder teams’ innovation by eliminating friction throughout the software development and operational lifecycle. Through AI based automated solutions and centralized service management, we address fundamental challenges including Keep The Light On (KTLO) service maintenance burden, launch readiness complexities, and recurring operational load. Through continuous collaboration with builder teams to identify emerging challenges, we shape our strategic roadmap to reinvent the development and operational ecosystem.

Responsibilities

Identify and prioritize high-impact problems that impede AWS software development

Decompose complex builder problems into simple, straightforward and scalable solutions.

Collaborate with AWSBA, ASBX and AWS builder teams to build and operate the designed solutions.

Deliver meaningful improvements weekly while working toward long-term transformation

Qualifications

Minimum

Bachelor's degree in Computer Science, Engineering, or a related field

3+ years of non-internship professional software development experience

3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design

2+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Preferred

Deep hands-on experience building software at AWS

Experience with software tooling and services supporting development lifecycle at scale

Experience building large-scale AI solutions.