Amazon
Software Development Engineer (SDE2), AWS
$144K–$224K
New York City, NY +8 · Full-time · Posted Oct 3, 2026
- Location
- New York City, NY
Arlington, VA
Santa Clara, CA
Seattle, WA
New York, NY
Astoria, NY
Brooklyn, NY
Carle Place, NY
Cupertino, CA - Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 3+ years building complex software systems; 2+ years designing and developing specified large-scale software using C#, C++, Java, or Perl.
- Education
- Bachelor's degree or equivalent.
About the job
Develop and maintain software for AWS teams across a range of engineering areas, from cloud and distributed systems to AI/ML, streaming, and embedded systems.
What you'll do
- Design, develop, and maintain reliable software solutions; identify and resolve bugs and performance bottlenecks.
- Collaborate on requirements, features, and architecture through cross-functional work and design reviews.
- Review code, document work, improve processes, and mentor 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 involving design patterns, reliability, and scaling.
- 2+ years designing and developing large-scale software applications, tools, systems, or services 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
165,200.00 - 223,600.00 USD annually (base salary); 158,100.00 - 213,800.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, JAX, PyTorch, vLLM, SGLang
AI focus
Potential roles include Artificial Intelligence/Machine Learning and Healthcare AI; preferred knowledge includes ML frameworks and machine learning and LLM fundamentals.
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