Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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About this role

Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Data Engineer who can help us reshape how Amazon develops and deploys large scale AI systems. If the daily invention of AI infrastructure best practices and the opportunity to influence teams/products across internal Amazon and AWS sounds like a fun challenge (spoiler alert, it is!), come join us on the ALICE team! Key job responsibilities As a Senior Data Engineer within the ALICE team, you will demonstrate exceptional technical leadership with comprehensive scope and substantial influence across Amazon's broader technical community. You will be recognized as a technical authority, providing system-wide architectural guidance and design leadership for the team's data architecture and pipeline automation efforts. This role requires deep expertise in data modeling and robust experience with diverse data design approaches, technical architectures, distributed systems and orchestration implementations. You will work autonomously to address ambiguous problem areas in both

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