Software Development Engineer Ii, Kumo-ams Aws Comply

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

This role is for a Software Development Engineer II on the Kumo-AMS AWS Comply team, focused on building and deploying GenAI-powered compliance solutions for regulated industries. The role involves designing, developing, testing, and deploying cloud-native services, owning features end-to-end, and contributing to architectural discussions. The team's flagship initiative uses GenAI to transform audit workflows, aiming to significantly improve productivity and reduce evidence validation time. The role requires experience in software development, system design, and cloud-native services, with preferred qualifications including ML/LLM fundamentals.

What you'd actually do

  1. Design, develop, test, and deploy cloud-native services that power GenAI-driven compliance solutions.
  2. Deliver high-quality production code with comprehensive automated testing and CI/CD pipelines.
  3. Own features end-to-end, from design through deployment and operational excellence.
  4. Participate in an on-call rotation to support production systems.
  5. Contribute to technical design discussions, sprint planning, backlog grooming, and architectural reviews.

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
  • 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

Nice to have

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

What the JD emphasized

  • building AI cloud services for the most demanding regulated industries
  • highly resilient, massively scalable, and built to make compliance consultants dramatically more productive
  • security-sensitive customers
  • continuously monitor cloud environments, automatically detect and remediate compliance violations, and provide secure access governance
  • uses GenAI to transform audit workflows, cutting evidence validation time by 70% and boosting compliance team productivity by 50%

Other signals

  • GenAI-powered compliance solutions
  • Audit Assurance Service, uses GenAI to transform audit workflows
  • building AI cloud services for the most demanding regulated industries