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Sr Software Development Engineer, Agentic AI DevOps

Amazon.com Inc
  • Seattle, WA
    4 days ago

    Job Description

    Come help us build the AWS DevOps Agent, a frontier agent that transforms how ops incidents are investigated and remediated.

    We"re looking for engineers who want to shape this transformation. You"ll work with our exceptional team and will build at the intersection of AI and software engineering. We"re building systems that seamlessly fit into a customer"s environment where we then apply agentic approaches to lighten the customers" ops load. We help builders resolve incidents quickly in live systems, and then learn from those incidents to make systemic improvements.

    Your impact will be immediate and visible. You"ll ship features that directly improve how our customers operate applications in AWS and other clouds. As a senior engineer you"ll also be helping us shape and improve how our team operates.

    Key job responsibilities

    You"ll shape the technical direction and architecture of the DevOps Agent service. You"ll work directly with customers to uncover real-world development challenges and translate them into product capabilities-staying true to Amazon"s customer-obsessed approach. You"ll use DevOps Agent in your day to day work to identify and then drive improvements across the entirety of our service.

    Your responsibilities span the full lifecycle: from architectural decisions to hands-on development. You"ll help define all aspects of our service, for example how our agent investigates and resolves incidents, how it learns from each investigation and gets better, and how it integrates with existing customer systems

    You"ll balance innovation with operational excellence, making technical choices that enable development velocity while meeting AWS"s standards for scale and security.

    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

    • Amazon Web Services (AWS)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Building Systemsunmatched
    • Cloud Computingunmatched
    • DevOpsunmatched
    • Process Improvementunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Team Playerunmatched

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