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.
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