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# Software Development Engineer, AWS Experience Analytics

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Software Quality, Code Review, Machine Learning, Open Source Technology, Software Deployment, Software Engineering, Data Streaming, Generative AI, Data Management, Data Pipelines, Amazon Redshift
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-development-engineer-aws-experience-analytics-seattle-wa--948d64bf-447f-4769-954f-272124d965bb

## About the Role

Software Development, Amazon Web Services (AWS), Software Engineering, Data Management, Artificial Intelligence (AI), Amazon Web Services (AWS), Customer/Client Research, Software Development, Customer Experience, Open Source

## Description

Do you want to shape how AWS understands and improves the experience of millions of customers? The AWS Experience Analytics team is building a unified analytics, experimentation, and user-insights platform that spans every channel customers use - web, mobile, CLI, SDK, docs, and conversational interfaces. We just shipped our first wave of capabilities and are now designing the next, much larger version: large-scale data pipelines, real-time streaming, applied ML and generative AI, and an intelligence layer that lets teams query insights in natural language. This is an early, formative stage where the architecture and engineering norms are being set, so you won"t inherit a finished system - you"ll help define it., As a Software Development Engineer on this team, you will own features end to end - from shaping requirements with product and science partners to shipping production services that AWS service teams rely on to find and fix customer friction. If you"re excited about combining open-source technologies, AWS services like Redshift and Kinesis, and big-data and ML techniques to drive the future of the AWS customer experience, we"d love to hear from you., * Design, build, test, and operate scalable services and data pipelines that power the analytics platform, ensuring reliability and fresh data for downstream consumers.

 * Own a meaningful component or feature area end to end - from system design through production deployment and ongoing operations - bringing clarity to problems and identifying simple, maintainable solutions.
 * Collaborate with product managers, applied scientists, and partner engineering teams to translate requirements into working software that improves customer-journey and experience-health metrics.
 * Contribute to code reviews and mentor teammates, raising the bar on code quality, documentation, and engineering standards across the team.
 * Evaluate and integrate generative AI tools and techniques where they can accelerate development or improve the platform"s insights capabilities.