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Added 5 mins ago
Hardware Engineer - Aerospace
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Full-time
For more than 60 years, Data Device Corporation (DDC) has been recognized as a world leader in the design and manufacture of high-reliability Connectivity, Power, and Control solutions for…
Added 5 mins ago
Java Engineer
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Added 23 mins ago
Senior Data Platform Engineer
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Added 37 mins ago
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Added 37 mins ago
Senior Data Engineer - Retail Engineering (Snowflake)
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Added 39 mins ago
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$23 to $30 CAD / hour
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Added 39 mins ago
Senior Data Engineer
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Added 53 mins ago
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Data Science Lead
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Added 1 hour ago
Senior Software Developer
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…Labs group on new concepts. As part of this work, you help re-engineer software delivery so that AI systems and workflows are integrated directly into our operating model and…
Added 1 hour ago
Software Developer
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Added 1 hour ago
Senior Product Design Engineer
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Added 1 hour ago
Senior Full Stack Java Engineer
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Added 1 hour ago
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Amazon

Software Development Engineer , Customer Service Technologies

Vancouver, BC, Canada

Posting language: English
Posted: Sep 24, 2026

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Original 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 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 working with high-availability, distributed systems and services
- Experience selling AI/ML solutions
- Experience with AWS services
- Experience designing, building, operating, and managing large-scale distributed systems or web services
- Experience in managing critical operational processes, with SLA responsibility

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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually

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More about this job

Responsibilities

Design, build, and operate the Network Control Center to provide real-time observability and autonomous incident response for Amazon's global customer service network. Collaborate with applied scientists and engineers to integrate machine learning models and ensure high-availability system performance.

Requirements

Requires at least 3 years of professional software development experience and 2 years of system design or architecture experience. Candidates should have experience with distributed systems, high-availability services, and proficiency in at least one programming language.

Skills

Software development
Distributed systems
System design
Observability
Incident management
Anomaly detection
Real-time signal processing
Autonomous response
Cloud computing
AWS
Machine learning
Operational excellence
Code quality
Technical design
Mentoring
Fault-tolerant design

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred profit sharing plan
Paid time off
Restricted stock units

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Customer Service Technologies
Network Control Center
AI-native
Distributed Systems
Observability
Incident Response
Anomaly Detection
AWS
Machine Learning
Real-time Processing
System Design
Scalability
Reliability
Operational Excellence
Cloud Computing
Predictive Alerting
Closed-loop Recovery
High-availability
SLA
Technical Design
Code Reviews
Mentoring
Automation
Customer Experience
Network Solutions
Engineering Best Practices
Production Operations
Fault-tolerant

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