Amazon.com

Software Dev Engineer , Customer Service Technologies

Amazon.com
US Seattle, WA, US
Onsite 2026-07-11
Estimated salary · Seattle
~ $42,200 - $63,300
Low
$42K
Median
$50K
High
$63K
Market in Seattle · BLS OEWS 2025
Estimated net pay
$3,007 - $4,420
/month · 14% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

**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 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 tec

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