Requirements

Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience building complex software systems that have been successfully delivered to customers, or experience (non-internship) in professional software development
Experience leading and influencing your team or organization, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Experience working directly with business stakeholders to translate between data and business needs
Proven ability to operate effectively in ambiguous, cross-functional environments: clarifying goals, working directly with non-engineering stakeholders, and translating customer workflows into product and technical changes
Hands-on experience with AI-assisted development workflows. Demonstrated usage of LLMs and agentic coding tools in day-to-day engineering, including writing specs, designing agentic loops, and integrating these tools into the team's development practices
Strong interest in LLMs, agents, and AI tooling, demonstrated through self-directed learning or hands-on work (e.g., side projects, prototypes, open-source contributions), and staying current with industry advancements

Nice to Haves

Bachelor's degree in computer science or equivalent
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Significant experience in working with relational and non-relational databases
Deep experience building modern data-heavy web applications
Prior experience operating services on AWS or other Cloud technologies in a production environment, including monitoring, alerting, and cost awareness
Experience building agentic features or harnesses, including defining the agent loop, designing tools, managing context budget, and adding human-oversight
Experience building and operating LLM-powered tools or features in production, including context engineering, eval-driven iteration, and handling non-determinism in production behavior

Work as a Full-stack Software/ Product Engineer
Collaborate with the business, product, and team members to architect and build enterprise-scale systems
Build features for internal web applications, work on backend services, and pipelines to vend data across the analytics platform

Team environment focused on innovation and customer-centric solutions
Opportunity to work on critical internal products with greenfield tech projects
Fast-paced, growth business available in over 200 countries and territories worldwide
Career development opportunities with Amazon, an equal opportunities employer