Software Development Engineer, Developer Experience

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 158,100.00 - 213,800.00 USD annually
Build the foundational tooling that powers the Amazon Ads Machine Learning Platform — including servers, skills, knowledge bases, and agents that enable teams across the organization to create and deploy sophisticated AI solutions at scale. Your contributions will directly shape how teams across Amazon build, deploy, and scale AI from prototyping to production.

The Developer Experience AI Tools team is transforming how internal teams create and deploy AI solutions. You'll design and launch features aligned with industry-standard AI frameworks, lead projects that drive innovation for customers, and work at the intersection of developer experience and AI technology. This is a unique opportunity where your work removes friction for builders across Amazon — democratizing AI development through robust, scalable tooling.

Key job responsibilities
- Design and develop scalable software systems that support the full development lifecycle of AI tools and services
- Lead technical projects from conception to completion, collaborating with stakeholders to deliver high-impact solutions
- Participate actively in code reviews, providing meaningful feedback to team members and ensuring code quality across the platform
- Identify and resolve root causes of operational issues while implementing improvements that enhance system reliability and performance
- Work with customers and stakeholders to understand business requirements and translate them into robust technical solutions for AI development tools

A day in the life
You'll lead technical projects end to end, guiding them from design through successful delivery while identifying new opportunities to enhance our AI development platform. Your day may involve optimizing Machine Learning Platform server performance, designing new capabilities for partner agents, or defining the next generation of developer tooling. You'll collaborate closely with product teams and stakeholders, balancing immediate deliverables with long-term architectural thinking.

About the team
The Developer Experience AI Tools team owns the critical tooling infrastructure that enables internal teams to launch on the Amazon Ads Machine Learning Platform, develop sophisticated skills and knowledge bases, and create intelligent agents for partners across the organization. Our mission is to democratize AI development across Amazon by providing robust, scalable tools that accelerate innovation — removing friction so builders can focus on solving customer problems. We foster a collaborative environment where knowledge-sharing and mentorship are core to how we operate, with meaningful code reviews, intentional project assignments, and cross-functional partnerships that help you develop deep expertise in both AI technologies and large-scale system design.