Software Development Engineer , Customer Service Technologies at Amazon Development Centre Canada ULC — NeverHard
Software Development Engineer , Customer Service Technologies at Amazon Development Centre Canada ULC in Greater Vancouver, British Columbia. Skills: AI/ML, Anomaly detection, Autonomous Response, Embedded Real-time Signal Processing, Observability. Apply on NeverHard.
Company
Amazon Development Centre Canada ULC
Location
Greater Vancouver, British Columbia
Type
full_time
Remote: Yes
Required skills:
AI/ML
Anomaly detection
Autonomous Response
Embedded Real-time Signal Processing
Observability
Production Operations
Software Development
System Design
Vancouver's tech scene has a new opportunity worth paying attention to. Amazon's
Customer Service Technologies
division is looking for a
Software Development Engineer
to join the team building the
Network Control Center (NCC)
— a greenfield, AI-native platform designed to fundamentally change how Amazon detects, responds to, and recovers from incidents across its
global Customer Service network
.
This isn't a role where you'll be maintaining legacy code or working inside a rigid, already-defined system. The NCC is a new initiative, and the team is small, focused, and moving fast. You'll be working directly with
applied scientists, product managers, and senior engineers
to take ambiguous customer problems and turn them into production systems that operate at massive scale — touching the experience of millions of customers worldwide.
About the Role: Software Development Engineer
The core of this position is building the systems that replace Amazon's current fragmented, manually operated incident management approach with
continuous observability, autonomous response, and intelligent customer recovery
. You'll own the end-to-end delivery of features — from technical design and implementation through to deployment and production operation. The work spans
real-time signal processing, anomaly detection, autonomous incident response, and closed-loop recovery systems
.
You'll also be collaborating closely with applied science teams to
integrate ML models
for anomaly detection, predictive alerting, and closed-loop learning into live production environments. Operational ownership is a real part of this role — you'll participate in
on-call rotations
, build dashboards and runbooks, and continuously improve system reliability. There's also a mentorship component: you'll help junior engineers grow in system design, code quality, and operational best practices.
Benefits and Salary
The base salary range for this
Software Development Engineer
position in Vancouver, BC is
$114,800 to $191,800 CAD annually
. Amazon's total compensation package may also include sign-on payments and
Restricted Stock Units (RSUs)
. Final compensation is based on experience, qualifications, and location. Amazon offers a comprehensive benefits package that includes
health insurance
(medical, dental, vision, prescription, basic life and AD&D), a
Registered Retirement Savings Plan (RRSP)
, a
Deferred Profit Sharing Plan (DPSP)
, paid time off, and additional resources to support health and well-being.
Job Details
Job Type:
Full-Time
Company:
Amazon
Location:
Vancouver, BC
Requisition ID:
10559397
Date Posted:
September 24, 2026
Pay:
$114,800 – $191,800 CAD annually
Responsibilities
As a core member of the
Network Control Center
engineering team, your day-to-day work will centre on building reliable, scalable systems from the ground up. These responsibilities span platform architecture, cross-functional collaboration, and active operational ownership — this team builds it and runs it.
Design, build, and operate
core NCC platform capabilities including real-time observability, incident detection, autonomous response, and customer recovery systems
Own 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 distributed systems challenges
including 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
Requirements / Skills
Amazon is looking for an engineer who thrives in ambiguity and takes genuine ownership of what they build. The ideal candidate brings strong software development fundamentals alongside real experience with
distributed systems
and a commitment to
operational excellence
and code quality.
3+ years of professional software development experience
(non-internship), with a track record of shipping production systems
2+ years of design or architecture experience
covering design patterns, reliability, and scaling of new and existing systems
Proficiency in at least one programming language
used in a professional software development context
Full software development life cycle experience
including coding standards, code reviews, source control, build processes, testing, and operations (preferred)
Bachelor's degree in computer science or equivalent
(preferred)
Experience with high-availability distributed systems
and services (preferred)
Familiarity with AWS services
and experience designing, building, and managing large-scale distributed systems or web services (preferred)
Experience managing critical operational processes
with SLA responsibility (preferred)
3+ years of non-internship professional software development experience; 2+ years of design or architecture experience with design patterns, reliability, and scaling; proficiency in at least one programming language. Preferred: 3+ years of full software development life cycle experience; bachelor's degree in computer science or equivalent; experience with high-availability distributed systems; experience with AWS services; experience designing, building, operating, and managing large-scale distributed systems or web services; experience managing critical operational processes with SLA responsibility.
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