Drimva

Amazon

Software Development Engineer, AWS SDE Centralized Team

$144K–$224K

Seattle, WA +5 · Full-time · Posted Apr 2, 2026

Location
Seattle, WA
Arlington, VA
New York, NY
Brooklyn, NY
Carle Place, NY
Cupertino, CA
Experience
3+ years of non-internship professional software development; 3+ years building complex software systems; 2+ years of non-internship design or architecture; 2+ years designing and developing specified software applications, tools, systems, and services.
Education
Bachelor's degree or equivalent.

About the job

Develop and maintain software for AWS teams across a central pipeline of current and anticipated SDE openings, spanning general and specialized engineering areas.

What you'll do

  • Design, develop, and maintain reliable software; implement solutions that meet business requirements.
  • Collaborate across teams to define and ship features, and identify and resolve performance issues and bugs.
  • Contribute to architecture and design reviews, process improvements, and mentoring junior engineers.

What they ask for

  • 3+ years of non-internship professional software development experience and 3+ years building complex software systems.
  • 2+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling.
  • 2+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software using C#, C++, Java, or Perl.
  • Bachelor's degree or equivalent.

Nice to have

  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT.
  • Knowledge of Machine Learning and LLM fundamentals, and Python and/or C++ programming.

Pay

USD 165,200.00 - 223,600.00 annually base salary; USD 158,100.00 - 213,800.00 annually base salary; USD 143,700.00 - 194,400.00 annually base salary

Tools

C#, C++, Java, Perl, JAX, PyTorch, vLLM, SGLang

AI focus

Potential specialized openings include Artificial Intelligence/Machine Learning and Healthcare AI; preferred knowledge includes ML frameworks and Machine Learning and LLM fundamentals.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)