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Software Development Engineer III, WW Sustainability

Amazon.com Inc
  • Seattle, WA
    1 day ago

    Job Description

    Join us at the forefront of Amazon"s sustainability initiatives to work on environmental and social advancements to support Amazon"s long term worldwide sustainability strategy. At Amazon, we"re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. The Worldwide Sustainability (WWS) organization capitalizes on Amazon's scale and speed to build a more resilient and sustainable company.

    Amazon"s Worldwide Sustainability Tech team is building the science and technology infrastructure that makes our sustainability commitments real - auditable, automated, and actionable at Amazon"s scale. At the center of that infrastructure is the Carbon Intelligence Platform: the system that calculates emissions across Amazon"s businesses, powers planning and abatement decision-making, and serves external sustainability products for partners and customers outside Amazon.

    The agentic data mesh team is building a reusable governed knowledge layer and semantic interface so agents can retrieve cited, traceable answers across domains. You will partner with research and sustainability scientists whose methodologies - increasingly AI and ML-enabled - your team implements in production. You will be the tech lead driving AI-native engineering projects, one that builds AI/ML systems in production and uses AI-native development and testing as standard workflow, measuring success by the pace at which new capabilities reach customers reliably.

    Key job responsibilities

    • Design and develop AI native systems and features that report Amazon"s environmental footprint as well as other Social and Governance metrics, to internal stakeholders and external regulatory bodies.
    • Operationally maintain the systems you build with a strong sense of Ownership, Bias for Action, and Customer Obsession.
    • Contribute to improving the teams broader SDLC processes.

    Numbers & Facts

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

    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

    Skills

    • Artificial Intelligence (AI)unmatched
    • Engineeringunmatched
    • Environmental Workunmatched
    • Metricsunmatched
    • Production Systemsunmatched
    • Regulationsunmatched
    • Scientific Researchunmatched
    • Software Developmentunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Software Engineeringunmatched
    • Sustainabilityunmatched
    • Systems Maintenanceunmatched
    • Technical Leadershipunmatched
    • Test Plan/Scheduleunmatched

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