Drimva

Amazon

Software Dev Engineer II, Secure Customer Content Storage and Analytics, AWS Applied AI Solution – Core Services

$144K–$194K

Seattle, WA · Full-time · Posted Oct 19, 2026

Experience
3+ years in software development and 3+ years in system design or architecture; preferred: 5+ years of full software development life cycle experience.
Education
Bachelor's degree in computer science or equivalent (preferred).

About the job

Build and operate secure data storage, analytics, and access platforms that support AWS AI applications while protecting customer data and meeting compliance requirements.

What you'll do

  • Deliver and operate event-based data storage and data access features, including security and authorization controls.
  • Improve existing platforms for performance, scalability, and operational excellence; resolve production issues involving data deletion and customer opt-outs.
  • Partner with application teams and scientists to translate requirements into solutions, and mentor teammates through reviews and knowledge sharing.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 3+ years of non-internship design or architecture experience with design patterns, reliability, and scaling for new and existing systems.
  • Experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Working knowledge of AWS services for data processing and machine learning, such as S3, SageMaker, and related data infrastructure.

Nice to have

  • 5+ years of full software development life cycle experience.
  • Bachelor's degree in computer science or equivalent; experience with data access controls, authorization, multi-tenant isolation, privacy techniques, self-service data platforms, or compliance systems.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

AWS, S3, SageMaker

AI focus

Build and maintain secure data infrastructure that enables AI model training and AI-powered business applications, while supporting customer data controls and privacy.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 4, 2026 (UTC)