Sr. Software Development Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Data Science
In short
Amazon Customer Service is seeking a Sr. Software Development Engineer to help build next-generation learning, coaching, and performance systems from the ground up, leveraging AI and generative AI. This greenfield opportunity involves designing and developing scalable services with a direct human impact on associates worldwide.
Responsibilities
- Design and build scalable services and experiences for personalized learning, coaching, and associate development.
- Build AI-powered coaching capabilities, including generative AI applications.
- Develop systems that connect associate performance signals with development interventions.
- Create closed-loop systems to measure and improve learning and coaching outcomes.
- Translate emerging models and experimentation into reliable production systems.
- Make foundational architectural decisions for a greenfield product space.
- Design APIs, data models, and integration patterns for associate development capabilities.
- Build mechanisms for experimentation, measurement, and observability.
- Deliver secure, reliable, and globally scalable systems with high operational excellence.
- Mentor other engineers and establish engineering standards.
Requirements
- 5+ years of non-internship professional software development experience.
- 5+ years of programming experience with at least one software programming language.
- 5+ years of experience leading design or architecture of new and existing systems.
- Experience as a mentor, tech lead, or leading an engineering team.
Desired Qualifications
- 5+ years of full software development life cycle experience.
- Experience designing and building large-scale distributed systems or customer-facing platforms.
- Experience building applications using machine learning, generative AI, large language models, recommendation systems, or personalization.
- Experience taking ambiguous or zero-to-one technical problems from concept through production.
- Experience designing systems that integrate data and capabilities across multiple services and organizational boundaries.
- Experience with experimentation, measurement, and data-driven product development.
- Demonstrated ability to provide technical leadership and influence architecture beyond an individual component.
Benefits
- Inclusive culture that empowers Amazonians.
- Opportunity to work on emerging AI technologies and large-scale systems.
- Potential to shape how Customer Service Associates develop and succeed globally.
- Work on zero-to-one problems with direct human impact.
#AI#generative AI#machine learning#software development#customer service#learning#coaching#personalization#distributed systems#architecture