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Sr. Software Development Engineer, Quick Core Experience

Amazon.com Inc

  • Seattle, WA
  • 12 days ago

    Highlights

    We continuously tackle hard, cross-cutting problems such as 1/ designing high-throughput indexing pipelines that unify asset writes across dozens of producer teams, 2/ building real-time customization services that scale across regions and tenants, and 3/ defining the long-term data architecture (OpenSearch, DynamoDB, multi-datastore) that underpins search and discovery for the entire platform. Amazon Quick is an enterprise AI platform that serves as an agentic, AI-powered digital workspace - integrating with customer data to provide contextual AI assistance including natural language chat, custom AI agents, research tools, business intelligence, workflow automation, and multi-agent automation.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Interested in building the foundational platform layer for an enterprise-scale Gen AI product? Our team - Quick Core Experience - powers Amazon Quick, an agentic AI-powered digital workspace used by enterprise customers for contextual AI assistance, custom agents, research, BI, and workflow automation. We own the critical platform capabilities that every feature in the product relies on: asset metadata services (search, indexing, favorites, recents, lists), brand and experience customization, the core design system, and the experiences that drive feature discoverability. We continuously tackle hard, cross-cutting problems such as 1/ designing high-throughput indexing pipelines that unify asset writes across dozens of producer teams, 2/ building real-time customization services that scale across regions and tenants, and 3/ defining the long-term data architecture (OpenSearch, DynamoDB, multi-datastore) that underpins search and discovery for the entire platform.

    We are looking for a Senior SDE who will operate as a technical leader for program-sized bodies of work across the full software development lifecycle - working backwards from customers through design, implementation, testing, deployment, operations, and documentation.

    Key job responsibilities

    • Lead the design and implementation of distributed data pipelines and systems, providing system-wide architectural guidance
    • Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution
    • Drive adoption of engineering best practices and operational excellence across the team
    • Solve complex technical problems with multiple risks and roadblocks, bringing clarity through simple, well-designed solutions
    • Mentor and coach multiple engineers, helping develop the next generation of technical talent

    Effectively communicate technical designs to both technical and non-technical audiences

    About the team

    Amazon Quick is an enterprise AI platform that serves as an agentic, AI-powered digital workspace - integrating with customer data to provide contextual AI assistance including natural language chat, custom AI agents, research tools, business intelligence, workflow automation, and multi-agent automation. The Core Experience team owns critical platform capabilities including asset metadata services (search, favorites, recents, and lists), the core design system, brand and experience customization, and key experiences that enable feature discoverability across the platform.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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