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Added 27 days ago
RB
Lead ML Platform Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 27 days ago
RB
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 27 days ago
EA
AI Engineer Intern
Electronic Arts (EA)
Vancouver, BC
- Temporary
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 27 days ago
C
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
- Full-time
Architect and guide enterprise data solutions on Google Cloud Platform (GCP), including technologies such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Dataplex,…
Added 27 days ago
A
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and…
Added 27 days ago
Z
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
- $118,300 to $168,300 CAD / year
Design and architect scalable AI systems and integrations running in cloud infrastructure, including LLM-powered features, agentic workflows, and MCP-based services.
Added 28 days ago
R
Lead ML Platform Engineer
RBC
Calgary, AB
- Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 28 days ago
CI
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
- Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 28 days ago
C
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 1 month ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel,…
Added 1 month ago
R
Principal AI Engineer
RBC
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 1 month ago
CT
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
- Full-time
Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
Added 1 month ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
…forward-deployed / customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 1 month ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
…Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service…
Added 1 month ago
D
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
- Full-time
GCP certification (Professional Data Engineer or Professional Cloud Architect).
Added 1 month ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
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,…
Added 1 month ago
VG
Senior Cloud Engineer
Vertage Global
Ottawa, ON
- Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 1 month ago
ME
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
- $95,000 to $135,000 CAD / year
- Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 1 month ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
have strong hands-on experience with Snowflake as a primary platform, complemented by proficiency in cloud
Added 1 month ago
AI
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
- Full-time
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 month ago
XI
Principal Data Engineer
Xplore Inc
Markham, ON
- Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 1 month ago
RA
Applied AI Engineer
Ranger AI
Canada
- Full-time
Experience working with APIs, databases, data pipelines, and cloud infrastructure.
Added 1 month ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 1 month ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 1 month ago
UR
AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…

Amazon

Software Development Engineer , Customer Service Technologies

Vancouver, BC, Canada

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Job details

Posting language: English
Posted: Sep 16, 2026

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 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 working with high-availability, distributed systems and services
- Experience selling AI/ML solutions
- Experience with AWS services
- 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. 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 system reliability and performance.

Requirements

Requires at least 3 years of professional software development experience and 2 years of system design or architecture experience. Candidates should have a strong background in distributed systems, operational excellence, and the ability to work with high-scale, real-time data.

Skills

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

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Customer Service
Network Control Center
AI-native
Observability
Incident Management
Distributed Systems
AWS
Machine Learning
Anomaly Detection
Real-time Processing
Fault-tolerant
System Design
Operational Excellence
Scalability
Predictive Alerting
Closed-loop Recovery
Coding Standards
Code Reviews
Source Control Management
Build Processes
Testing
Operations
Cloud Infrastructure
Event-driven Architecture
Streaming Systems
Technical Design
Mentorship
Automation

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