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# Senior Software Engineer - Full Stack AI/ML

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Data Analysis, C Sharp (Programming Language), C++ (Programming Language), Static Program Analysis, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Reliability Engineering, Infrastructure Automation Frameworks, Information Technology
- **Published:** September 20, 2026
- **Apply:** https://www.careerjet.com/job/us93b830ff8c0b0c375accc992f1559b86/eaa

## About the Role

in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles. Provides deep business and technical expertise as required to resolve major incidents. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with Artificial Intelligence (AI), Machine Learning (ML), risk assessment systems, or intelligent
automation solutions. (Appropriate for the R2D and Automated Risk Assessment space. Experience with DevOps practices, continuous integration and continuous deployment (CI/CD), infrastructure as code, and service reliability engineering. Experience analyzing large datasets and translating insights into product or engineering improvements. Experience leading technical initiatives and influencing architecture, design, and engineering best practices across teams. Demonstrated ability to drive operational excellence through automation, scalability, reliability, and continuous improvement.



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