Amazon Development Center U.S., Inc.
Technology
SDEII,ExperienceAnalytics(AgentExperiences&DataProducts)
Neural analysis suggests this role is
optimal for Mid candidates.
“SDE II, Experience Analytics (Agent Experiences & Data Products) at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Cloud computing, Software development, DevOps. Design, build, and maintain scalable distributed systems. Develop and deploy cloud-native applications”
What You'll Achieve.
Improve system reliability; Enhance system scalability; Reduce operational costs; Deliver high-quality software
Industry & Context.
Root cause analysis; Troubleshooting; Performance optimization
What They're Looking For.
Must Have
Bachelor's degree in Computer Science or related field, 5+ years of experience in software development, Experience with large-scale distributed systems, Experience with cloud platforms (AWS, Azure, or GCP), Experience with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines, Experience with monitoring and logging tools
Nice to Have
Master's degree or PhD in Computer Science or related field, Experience with machine learning frameworks, Experience with data processing frameworks, Experience with infrastructure as code tools, Experience with security best practices
What You'll Do.
and maintain scalable distributed systems
Develop and deploy cloud-native applications
Implement and manage CI/CD pipelines
Monitor system performance and troubleshoot issues
Collaborate with cross-functional teams
Participate in code reviews
Contribute to system architecture discussions
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile development teams; Product managers; Engineering leads
Communication Scope
Technical documentation; Code reviews; Team presentations
Process & Methodology
Agile methodologies, Scrum, Kanban
Full Job Description
AWS Experience Analytics (EXA) is seeking a Software Development Engineer to help build the tools and experiences that make customer data useful. EXA exists to understand how customers experience AWS and to turn that understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform (Clara), customer experience measurement frameworks, segmentation systems, and AI-powered agents that make customer understanding available on demand. This role sits at the intersection of infrastructure and experience. You will contribute to the core data product builds — pipelines, APIs, data publishing — while also prototyping and building the agent interfaces and experiences that make these products accessible. You will help us figure out what a Clara query experience should feel like, how knowledge bases should surface insights, and how AI agents should interact with the people who use them. We are looking for someone who is curious about how people interact with data and AI systems, who can move quickly from idea to working prototype, and who is comfortable building across the stack rather than staying in one layer. You will work alongside applied scientists, data scientists, and researchers — translating their models and findings into experiences that work. Some weeks you will be deep in infrastructure. Other weeks you will be exploring what an agent interaction should look like. You should be energized by that range, not frustrated by it. The ideal candidate writes clean, production-quality code, thinks carefully about the people who will use what they build, and is comfortable working in spaces where the right approach has not been defined yet. Key job responsibilities - Design, build, and maintain software components across EXA's core data product portfolio — including data pipelines, APIs, query interfaces, and data publishing infrastructure. - Prototype and build agent experiences and interfaces for Clara and
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