Jobs in Markham, ON and nearby

Jobs within 25 km of Markham, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

19,510 listings · 3,622 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (389 listings), Shoppers Drug Mart (360 listings), Walmart Canada (299 listings).

Common roles: Retail sales associate, Project manager, Personal support worker.

3,669 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	22.70	1,853
CAD / year	75,000.00	1,464
USD / year	96,800.00	138
USD / hour	18.95	68
CAD / month	4,500.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Markham, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 3 days ago
A
Intermediate Electrical Engineer (Buildings)
AtkinsRéalis
Toronto, ON
- Full-time
Added 3 days ago
HT
Technical Sales Engineer
HUBER Technology Canada
Vaughan, ON
- Full-time
Added 3 days ago
SA
Campaign Marketing Manager, Customer Lifecycle
STAN AI
Toronto, ON
- $80,000 to $100,000 CAD / month
- Full-time
Added 3 days ago
AC
Intermediate Accident Benefits Advisor
Aviva Canada
Markham, ON
- Full-time
Added 3 days ago
AC
Sales Insurance Specialist
Aviva Canada
Markham, ON
- Full-time
Added 3 days ago
IG
Sales Representative – Glass Hardware Products
Ideal Glass Hardware Inc. (IGH)
Markham, ON
- Full-time
Added 3 days ago
CG
Yard Support/Delivery Driver- ON
Clearway Group of Companies
Vaughan, ON
- Full-time
Added 3 days ago
U
YARD CREW/CHECKER
UPS
Concord, ON
- Internship
Added 3 days ago
U
YARD CREW/CHECKER
UPS
Concord, ON
- Internship
Added 3 days ago
U
YARD CREW/CHECKER
UPS
Concord, ON
- Internship
Added 3 days ago
W
(CAN) OMNI Customer Fulfillment Associate 3 AM
Walmart
Toronto, ON
- Part-time
Added 3 days ago
M
Cloud & AI Platform Sales Specialist
Microsoft
Goodwood, ON
- Full-time
Added 3 days ago
EC
Outside Sales
Eaton Corporation
Pickering, ON
- Full-time
Added 3 days ago
CC
Project Accountant
Corebuild Construction Ltd.
Toronto, ON
- Full-time
Added 3 days ago
LR
Sales & Account Specialist
La Rocca Creative Cakes
Richmond Hill, ON
- Full-time
Added 3 days ago
Y
B2B Sales Development Representative
YuJa
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Added 3 days ago
AC
SAP Data Archiving Developer
Alteris Consulting
Markham, ON
- Contract
Added 3 days ago
SR
Assistant Project Manager
SmartCentres REIT
Vaughan, ON
- Full-time
Added 3 days ago
R
Coordinator, Sales
Revlon
Vaughan, ON
- $52,000 to $56,000 CAD / year
- Full-time
Added 3 days ago
MQ
Oracle Fusion ERP QA Consultant
Miipe Quality Solutions
Markham, ON
- $80,000 to $90,000 CAD / year
- Full-time
Added 3 days ago
ME
Design Review Technologist
Morson Edge (Canada)
Toronto, ON
- $40 to $55 CAD / hour
- Contract
Added 3 days ago
CC
Accountant (12 Month Contract)
CAA Club Group
Markham, ON
- $19.62 to $30.92 CAD / hour
- Contract
Added 3 days ago
WC
(CAN) OMNI Customer Fulfillment Associate 3 AM
Walmart Canada
Toronto, ON
- Contract
Added 3 days ago
NF
Dairy Clerk Part Time Day
No Frills
Vaughan, ON
- Part-time
Added 3 days ago
BG
Senior Service Retention Specialist
BMW Group
Richmond Hill, ON
- Full-time

KTek Resourcing

AI Architect

Toronto, ON, Canada
Scarborough, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Job Description:AI & Cloud Resiliency Architect

Location: Scarborough-ON( Hybrid -2-3 days)

Mode : Contract

Must Have : (F2F interview mandatory for Tp2 round )

Job Description.

We are looking for an AI & Cloud Resiliency Architect to lead the design of scalable, highly available, and resilient cloud and AI solutions.

The role is focused on application and system architecture, defining resiliency standards, reference architectures, and engineering best practices across AWS, Generative AI, Agentic AI, and event-driven/serverless environments.

Key Responsibilities

Develop cloud and application architectures that are highly available, fault tolerant, and recoverable.
Establish enterprise-wide resiliency principles, standards, architectural patterns, and governance guardrails.
Identify and mitigate risks related to single points of failure, large blast-radius impacts, tight dependencies, scalability limitations, and system coupling.
Design resilient Generative AI, AI agent, and multi-agent architectures.
Define resiliency and architecture standards for Model Context Protocol (MCP) and AI tool integrations.
Implement strategies for handling model and service failures, including fallback mechanisms, graceful degradation, retries, circuit breakers, and failure isolation.
Architect serverless and event-driven solutions using AWS Lambda, SQS, SNS, DynamoDB, API Gateway.
Define requirements for high availability, disaster recovery, RTO/RPO targets, observability, recovery processes, and resilience testing.
Create reusable reference architectures, design patterns, resiliency checklists, and production-readiness frameworks.
Collaborate with Application Development, Cloud Engineering, SRE, Security, and Operations teams to embed resiliency into solution design.

Required Experience

Proven expertise in application, system, and cloud architecture.
Strong understanding of distributed systems, APIs, and event-driven/serverless architectures.
Extensive AWS architecture experience
Experience designing Generative AI and Agentic AI solutions.
Knowledge of MCP, AI agents, RAG architectures, LLM integrations, and AI orchestration frameworks.
Strong understanding of resiliency engineering, fault tolerance, scalability, observability, and disaster recovery.
Experience developing enterprise architecture standards, reference models, and design guardrails.
Experience working within banking, financial services, or other highly regulated industries.
Hands-on experience with Amazon Bedrock or similar Generative AI platforms.
Knowledge of AI governance, security, technology risk management, and operational resilience.
Familiarity with SRE practices and chaos engineering methodologies.

Apply About employer

More about this job

Responsibilities

Design scalable, highly available, fault-tolerant cloud and AI architectures, and establish enterprise resiliency standards, reference architectures, and governance guardrails. Define recovery, observability, and resilience-testing requirements while collaborating with development, cloud engineering, SRE, security, and operations teams.

Requirements

Requires extensive experience in application, system, and AWS architecture, distributed systems, resiliency engineering, and Generative and Agentic AI solutions. Candidates should also have experience with enterprise architecture standards, regulated industries, Amazon Bedrock or similar platforms, AI governance, and SRE or chaos engineering practices.

Skills

Cloud Architecture
Application Architecture
AWS
Generative AI
Agentic AI
Distributed Systems
Event-Driven Architecture
Serverless Architecture
Resiliency Engineering
Disaster Recovery
Amazon Bedrock
Model Context Protocol
RAG Architectures
Site Reliability Engineering
Chaos Engineering
AI Governance

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon Bedrock
AWS Lambda
Amazon SQS
Amazon SNS
Amazon DynamoDB
Amazon API Gateway
Generative AI
Agentic AI
AI Agents
Multi-Agent Architectures
Model Context Protocol
RAG
LLM Integrations
AI Orchestration
Distributed Systems
APIs
Event-Driven Architecture
Serverless Architecture
Fault Tolerance
High Availability
Disaster Recovery
RTO/RPO
Observability
Circuit Breakers
Graceful Degradation
AI Governance
Technology Risk Management
Site Reliability Engineering
Chaos Engineering

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