Drimva

Amazon

Senior Software Engineer, SageMaker AI Studio

$168K–$262K

BELLEVUE, WA +2 · Senior · Full-time · Posted Aug 11, 2026

Location
BELLEVUE, WA
Bellevue, WA
Santa Clara, CA
Experience
7+ years of professional software development experience and 5+ years designing and building large-scale distributed systems in the initial qualifications; the additional basic qualifications specify 5+ years of non-internship software development, programming, and systems design or architecture experience.
Education
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

About the job

Leads the design and delivery of scalable distributed systems that power SageMaker AI Studio’s machine-learning development experience.

What you'll do

  • Lead architecture and end-to-end delivery of large-scale, highly available distributed services.
  • Set technical direction, collaborate across teams, and mentor engineers through reviews and guidance.
  • Improve operational excellence and developer experience through practices such as CI/CD, observability, testing, and incident management.

What they ask for

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years of experience leading design or architecture of new and existing systems, including reliability and scaling.
  • Experience as a mentor, tech lead, or leading an engineering team.

Nice to have

  • Experience building developer tools, IDEs, or ML/AI platforms; familiarity with ML workflows.
  • 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.

Pay

193,300.00 - 261,500.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)

Tools

Java, Python, TypeScript, Go, CI/CD

AI focus

Builds the platform and developer experience for machine learning and generative AI workflows, including building, training, and deploying models.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)