Amazon Advertising LLC
Technology
Sr.SoftwareDevelopmentEngineer,AmazonAutos
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“Sr. Software Development Engineer, Amazon Autos at Amazon Advertising LLC. Skills: Data platforms, AI-powered data engineering, System architecture. Architect end-to-end data platform design. Own end-to-end data platform design”
What You'll Achieve.
Reduce data latency
Industry & Context.
Root cause analysis; Scalability risk; ETL edge case
What They're Looking For.
Must Have
5+ years software development experience, 5+ years programming experience, 5+ years system design experience, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience analyzing large datasets, Experience translating data to insight
Nice to Have
5+ years full SDLC experience, Master's degree in computer science, 5+ years end-to-end analytics solutions, Experience with AWS, Experience with Hadoop, Experience with Spark, Experience with Pig, Experience with Hive, Experience with Redshift, Experience with Hbase, Experience with Yarn, Experience with Kafka, Experience with Bigdata architecture
What You'll Do.
Architect end-to-end data platform design
Own end-to-end data platform design
Define technical standards
Enforce technical standards
Lead cross-functional technical initiatives
Align teams around data strategy
Build AI-powered data platforms
Deploy intelligent agents
Design large-scale ETL pipelines
Implement large-scale ETL pipelines
Design large-scale ELT pipelines
Implement large-scale ELT pipelines
Drive API strategy for integrations
Enable systems to consume data feeds
Define code quality standards
Champion automated testing
Champion observability
Conduct design reviews
Provide technical guidance
Elevate engineering bar
Partner with stakeholders
Translate business problems
Lead incident response
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Data science teams; Partner teams; OEM integrations team
Communication Scope
Technical guidance
Process & Methodology
CI/CD pipelines
Full Job Description
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale. We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production. What You Will Build - AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners - Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets - Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor - This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams. What Makes This Role Unique This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has a
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