Full-Stack Software Engineer, Interests AI (CoreCX)

As a software developer in this role, you will have the opportunity to design and deliver the development of engaging features for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, youll learn a lot, have fun and make a positive impact on millions of people.

We are looking for a talented Full-Stack Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and continuous focus on engineering and operational excellence are essential for success in this role. You will be expected to take ownership, be proficient technically, mentor and grow junior de

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Basic Qualifications:
- 5+ years of non-internship professional software development experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience programming with at least one modern language such as Java (or similar OO language) and TypeScript (or similar).
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Preferred Qualifications:
- Master's degree or equivalent.
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications.
- Experience with end-to-end SDLC