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Software Development Engineer II, Core Selection

Amazon.com Inc
  • Bellevue, WA
    2 days ago

    Job Description

    Are you ready to transform supply chain operations at a global scale? The Core Selection team in Supply Chain Optimization Technology (SCOT) is seeking an innovative software engineer to redefine how Amazon manages inventory selection decisions worldwide. In this role, you"ll harness the power of Generative AI to unlock new possibilities in software engineering, collaborating with scientists, economists, business intelligence engineers, and product managers to build solutions that drive financial benefits across teams and organizations.

    You"ll apply your technical depth in distributed systems, work backwards from customer requirements, and leverage advanced technologies to solve complex supply chain challenges. With Amazon"s vast and intricate supply chain, even small optimizations create profound impacts on customer experience. This is your opportunity to grow alongside business partners, break through traditional constraints with AI-powered solutions, and deliver scalable systems that shape how millions of customers experience Amazon.

    Key job responsibilities

    • Design and build large-scale distributed services for inventory selection decisions, writing high-quality code in Java or Scala while applying object-oriented principles and system design patterns
    • Collaborate with cross-functional teams including data scientists, economists, and product managers to translate business requirements into technical solutions, utilizing Generative AI capabilities to accelerate development and expand engineering possibilities
    • Own the full software development lifecycle from scoping and design through testing, deployment, and maintenance, actively participating in code reviews and providing meaningful technical feedback to team members
    • Lead operational excellence initiatives by monitoring system performance, identifying root causes of issues, and implementing permanent solutions that improve reliability and customer experience
    • Evaluate technical tradeoffs in the problem space, balance short-term needs with long-term architectural goals, and make informed decisions on feature development priorities while building trust with partners through domain expertise

    A day in the life

    Your day starts with scrum planning where you align with your team on priorities and technical approaches. You"ll spend time converting stakeholder requirements into product features, design systems, writing code, and collaborating with economists and data scientists on optimization algorithms. You"ll leverage Generative AI tools to accelerate implementation and explore creative solutions. Throughout the day, you participate in design discussions, conduct code reviews, and troubleshoot production systems. You regularly demo progress to stakeholders, gathering feedback to continuously refine and improve your solutions.

    About the team

    The Core Selection team in Supply Chain Optimization Technology (SCOT) builds the large-scale distributed services that power inventory selection decisions for Amazon"s supply chain worldwide. Our mission is clear: even the smallest optimizations in our complex supply chain create profound impacts on customer experience. We"re defining the next generation of inventory management solutions at unprecedented scale.

    Our culture thrives on collaboration, innovation, and continuous learning. You"ll work alongside brilliant engineers, scientists, and technologists who are passionate about solving complex problems. We value curiosity, encourage knowledge-sharing through mentorship, and provide opportunities to work with cutting-edge technologies including machine learning, service-oriented architecture, and Generative AI. This is the perfect environment for motivated engineers who want to grow their technical expertise while driving meaningful impact on Amazon"s customer experience.

    Numbers & Facts

    LocationBellevue, 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

    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Growthunmatched
    • Business Intelligenceunmatched
    • Code Reviewsunmatched
    • Computer Programmingunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Data Scienceunmatched
    • Design Patterns Programming Methodologiesunmatched
    • Distributed Computingunmatched
    • Identify Issuesunmatched
    • Inventory Managementunmatched
    • Javaunmatched
    • Leading Edge Technologyunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Object Oriented (OO)unmatched
    • Optimization Algorithmunmatched
    • Performance Analysisunmatched
    • Problem Solving Skillsunmatched
    • Product Demonstrationunmatched
    • Production Systemsunmatched
    • Reliability Engineeringunmatched
    • Requirements Managementunmatched
    • Root Cause Analysisunmatched
    • Scala Programming Languageunmatched
    • Scrum Project Management and Software Developmentunmatched
    • Service-Oriented Architecture (fka Distributed Object Architecture)unmatched
    • Software Developmentunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Software Engineeringunmatched
    • Supply Chainunmatched
    • Supply Chain Operationsunmatched
    • Supply Chain Optimizationunmatched
    • Systems Scalabilityunmatched
    • Technical Analysisunmatched
    • Test Designunmatched
    • Trade-Off Analysisunmatched

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