AmazonSoftware Development Engineer, Customer Service Technologies
AI in this role
Build and operate AI-native systems for real-time anomaly detection, autonomous incident response, and customer service network recovery.
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.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience designing and building real-time, event-driven, or streaming systems
- Strong operational mindset with experience in monitoring, observability, and incident management
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer, Customer Service Technologies at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where real time data was part of your work. What did you do?
- Tell me about a project where anomaly detection was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where incident management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Real Time Data, Anomaly Detection, Software Engineering, and Incident Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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