Software Dev Engineer , Amazon Customer Service

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Architectural Design, Architectural Services, Artificial Intelligence (AI), Business Operations, Concrete, Continuous Improvement, Cross-Functional, Customer Experience, Customer Support/Service, Ecosystems, Incident Management, Incident Response, Loyalty Programs, Meeting Minutes, Mentoring, Network Architecture/Engineering, Network Monitoring, On Call, Proof of Concept, Quality Management, Risk Analysis, Software Development, Software Engineering, System Architecture, Team Building, Technical Leadership
LOCATION
Seattle, WA
POSTED
9 days ago

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 Sr. Software Development Engineer to lead 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 that takes several minutes. This leader will design and build the technical systems that replace this fragmented approach with continuous observability, autonomous response, and intelligent customer recovery - all operating in real-time at massive scale.

The ideal candidate is a strong technical leader who thrives in ambiguity, can translate a bold vision into a concrete system architecture, and is passionate about building high-performing teams. You will partner closely with science, product, and operations leaders to deliver AI-powered capabilities that detect risks before customers feel them, respond in sub-60 seconds, and execute tailored recovery actions that turn service failures into loyalty-building moments. This is an exciting opportunity to build transformative technology that directly impacts the experience of millions of customers.

Key job responsibilities

  • Lead the design, architecture, and delivery of an AI-native observability and incident management service serving Amazon"s global Customer Service network
  • Build and develop a high-performing engineering team by assisting in hiring and mentoring software development engineers
  • Architect real-time signal detection and observability systems that continuously monitor network health, identifying risks and anomalies before customer impact
  • Deliver autonomous incident response and recovery capabilities that replace manual, fragmented processes with intelligent, real-time intervention
  • Partner with Applied Science teams to develop and integrate ML models for anomaly detection, predictive alerting, and closed-loop learning workflows
  • Drive technical roadmap execution from proof-of-concept through production, balancing speed of delivery with long-term architectural quality
  • Collaborate cross-functionally across Network Solutions and partner teams to integrate platform capabilities into the broader CS ecosystem
  • Establish operational excellence practices for production services, including on-call, incident response, and continuous improvement mechanisms

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.

About the Company

A

Amazon.com Inc

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
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles