Amazon
Software Development Engineer II, AWS Activate
$144K–$194K
Seattle, WA · Full-time · Posted Oct 14, 2026
- Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ years of software development engineer or related occupational experience; 1+ years designing and developing large-scale applications; 1+ years of Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build and operate customer-facing and internal AWS Activate applications that help startups access program benefits, manage credits, receive recommendations, and support program operations.
What you'll do
- Develop applications and tools for the AWS Activate startup customer journey and internal workflows.
- Build and maintain large-scale, distributed software systems and services.
- Support features such as personalized recommendations, credit management, application processing, and customer communications.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems.
- 1+ years of experience designing and developing large-scale applications using C#, C++, Java, or Perl; and 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.
Nice to have
- 3+ years of full software development life cycle experience.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, Machine Learning, LLM
AI focus
The Activate Console uses custom ML recommendation algorithms to personalize content and recommendations for startups; preferred qualifications include knowledge of Machine Learning and LLM fundamentals.
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