Amazon.com Inc logo

Software Development Engineer, Customer Service Technologies

Amazon.com Inc
  • Seattle, WA
    1 day ago

    Job Description

    Customer experience is at the heart of all we do at Amazon, as we strive to be Earth"s most customer-centric company. Amazon Customer Service (CS) is at the forefront of customer experience, working relentlessly to provide customers a convenient, high quality, and delightful experience - across all of our CS channels - in every interaction.

    Within CS, Network Solutions is responsible for designing, planning, and operating the world"s largest customer service network - building intelligent, adaptive systems that anticipate demand, match customers to optimal experiences, and continuously improve service quality. We are transforming CS from a manually operated, reactive model into an AI-native ecosystem that makes CS a growth driver and competitive advantage for Amazon.

    We are seeking a Software Development Engineer II to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds to, and recovers from incidents across our global Customer Service network. Today, our incident management relies on disconnected tools, multiple manual steps, and reactive detection. You will design, build, and operate the systems that replace this fragmented approach with continuous observability, autonomous response, and intelligent customer recovery - operating in real-time at massive scale.

    This is a greenfield opportunity on a newly formed team with high ownership and rapid iteration. You will tackle challenging problems spanning real-time signal processing, anomaly detection, autonomous incident response, and closed-loop recovery systems. You will work closely with applied scientists, product managers, and senior engineers to turn ambiguous customer problems into technical designs and ship them to production. The ideal candidate thrives in ambiguity, cares deeply about code quality and operational excellence, and is energized by building systems from scratch that directly impact the experience of millions of customers.

    Key job responsibilities

    • Design, build, and operate core platform capabilities for NCC, including real-time observability, incident detection, autonomous response, and customer recovery systems
    • Own the end-to-end delivery of features and subsystems - from technical design through implementation, testing, deployment, and production operation
    • Collaborate with applied science teams to integrate ML models for anomaly detection, predictive alerting, and closed-loop learning workflows into production systems
    • Solve hard distributed systems problems - real-time event processing at scale, low-latency decision making, and fault-tolerant service design
    • Operate what you build - participate in on-call rotations, build operational dashboards and runbooks, and drive continuous improvement of system reliability
    • Contribute to technical design discussions, code reviews, and engineering best practices that raise the bar across the team
    • Mentor junior engineers on system design, code quality, and operational best practices

    About the team

    Network Solutions is on a mission to transform Amazon Customer Service from a cost center into a growth driver by building intelligent, adaptive systems that anticipate demand, match customers to optimal experiences, and continuously improve service quality. The Network Control Center is a new initiative within Network Solutions focused on ensuring network health and reliability through continuous observability, situational awareness, and proactive intervention - leveraging AI to monitor, interpret, and act on risks to customer journeys across all channels.

    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
    • Best Practicesunmatched
    • Building Systemsunmatched
    • Business Operationsunmatched
    • Code Reviewsunmatched
    • Continuous Improvementunmatched
    • Customer Experienceunmatched
    • Customer Support/Serviceunmatched
    • Distributed Computingunmatched
    • Ecosystemsunmatched
    • Incident Managementunmatched
    • Incident Responseunmatched
    • Mentoringunmatched
    • Network Architecture/Engineeringunmatched
    • On Callunmatched
    • Process Improvementunmatched
    • Production Systemsunmatched
    • Quality Managementunmatched
    • Reporting Dashboardsunmatched
    • Signal Processingunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Operationsunmatched
    • Systems Engineeringunmatched
    • Systems Reliabilityunmatched
    • Team Buildingunmatched
    • Technical/Engineering Designunmatched
    • Testingunmatched

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