Toronto On Aws cloud engineer Jobs – 240 Openings This Week

Senior DevOps Engineer
Confidential —Ontario
- $100,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
Quick apply
Amazon Connect Engineer (MS Teams) – 100% Remote (ONTARIO)
Recrute Action Inc. —Toronto, ON
- $48–$68 an hour
- 8 hour shift
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Work from home
Quick apply
2d
AWS Cloud Engineer
Cognizant —Scarborough, ON
- $115,000–$122,000 a year
- Full-time
- Hybrid work
- Software troubleshooting
- AWS
2d
Tech Lead
Tactable —Toronto, ON
- $150,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- English
- Dental care
- Paid time off
Quick apply
Operations Engineer / Cloud Operations Engineer (OPS) (Mandarin Speaker)
FoodsUp Inc. —Scarborough, ON
- $60,000–$75,000 a year
- Full-time
- Computer Science
- Maintenance
- Analysis skills
- Dental care
Quick apply
Senior Site Reliability/Observability Engineer
Kyndryl —Toronto, ON
- Contract
- Azure
- DevOps
- Java
Quick apply
Principal Architect
Accommodations Plus International —Markham, ON
- $140,000–$170,000 a year
- Full-time
- Remote
- Oracle
- System design
- Java
Quick apply
Junior DevOps Engineer
NRT Technology Corp. —Toronto, ON
- $65,000–$70,000 a year
- Full-time
- Maintenance
- Analysis skills
- Bachelor's
- Dental care
- Paid time off
Quick apply
2d
Cloud Operations Engineer
Porter Airlines Inc. —Toronto, ON
- Full-time
- Customer service
- Maintenance
- Windows
Infrastructure Engineer
taq —Markham, ON
- $80,000–$110,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
AWS Engineer
Tata Consultancy Services —Toronto, ON
- $90,000–$120,000 a year
- Azure
- Python
12d
Cloud Engineer
Lucrodyne —Toronto, ON
- On call
- Hybrid work
- Computer Science
- DevOps
- Windows
Cloud Infrastructure Engineer
Element Fleet Management —Toronto, ON
- $99,200–$136,400 a year
- Full-time
- Computer Science
- Engineering
- Windows
- Tuition reimbursement
Senior Data Engineer (Cloud/AWS)
Royal Bank of Canada —Toronto, ON
- Full-time
- Software troubleshooting
- DevOps
- Maintenance
Cloud engineer
Bondr —Toronto, ON
- Computer science
- Azure
- Computer Science
Staff Cloud Software Engineer
AeroVect —Toronto, ON
- Full-time
- Remote
- Google Suite
- Computer Science
- Master's degree
DevOPS/Cloud Engineer (Contract)
Cyber-Infomax Solutions Inc. —Toronto, ON
- $75–$95 an hour
- Temporary
- Hybrid work
Quick apply
AWS Production Support Engineer
Recutify Inc. —Toronto, ON
- Full-time
- AWS
Quick apply
DevOps Engineer - New Grad 2026
Cerebras Systems —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Software troubleshooting
- Engineering
DevOps Engineer II, Cloud Platform
Upstart —Toronto, ON
- $142,000–$196,600 a year
- On call
- Remote
- Computer Science
- DevOps
- Engineering
- Employee stock purchase plan
- Designated paid holidays

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aws cloud engineer jobs near toronto on

Senior DevOps Engineer

Confidential
Ontario

Quick apply

Job details

Full-time
$100,000–$150,000 a year

Qualifications

Azure
Law
Incident management
Continuous Delivery (CD) implementation
Container orchestration
Software deployment
Infrastructure as Code (IaC)
Load balancing
DevOps
Process improvement
Google Cloud Platform
Cloud engineering experience
Firewall
AWS
Docker
SSL
Disaster recovery implementation
Terraform
Risk management
Scripting
Contingency planning
DNS
APIs
Linux
Environment provisioning
AI
Communication skills
Client interaction
Pipeline
Identity & access management

Full job description

Senior DevOps Engineer

Location: Ontario, Canada
Experience: 10+ years preferred

About the Role

We’re looking for a Senior DevOps Engineer to take ownership of how our work ships, scales, and stays running.

This is a hands-on, high-ownership role spanning multiple client projects and technology environments. You’ll be responsible for the delivery pipelines, cloud infrastructure, reliability, observability, and security that support our enterprise software and digital solutions.

You’ll help transform fragile or manual infrastructure into automated, secure, observable, and scalable platforms. Because we increasingly work with AI-powered applications and solutions, you’ll also help design and operate infrastructure supporting modern AI workloads.

We’re looking for someone genuinely senior—an engineer who has built and operated production platforms end to end, owned reliability, responded to real production incidents, and can make sound infrastructure decisions independently.

Just as importantly, you communicate clearly, collaborate effectively with developers and technical teams, and are comfortable working directly with clients when needed.

What You’ll Do

Own and improve CI/CD pipelines across multiple applications and client environments.
Design, deploy, maintain, and optimize secure cloud infrastructure.
Automate infrastructure provisioning, configuration, deployment, and operational processes.
Improve application and infrastructure reliability, scalability, and performance.
Implement monitoring, logging, alerting, and observability across production environments.
Lead infrastructure troubleshooting and production incident response.
Establish backup, disaster recovery, and business continuity practices.
Identify infrastructure risks and proactively improve platform resilience.
Implement and maintain infrastructure security best practices, access controls, secrets management, and vulnerability management.
Build and maintain containerized environments and orchestration platforms.
Support infrastructure for AI applications, APIs, data pipelines, and modern AI workloads.
Work closely with software engineers to improve development, testing, deployment, and release processes.
Evaluate infrastructure technologies and make pragmatic architectural recommendations.
Document environments, processes, architecture, and operational procedures.
Help establish DevOps standards and best practices across projects.
Communicate technical decisions, risks, and recommendations clearly to internal teams and clients.

What We’re Looking For

Approximately 10+ years of DevOps, infrastructure, cloud engineering, SRE, or related experience.
Significant experience operating production systems in real-world environments.
Strong experience with major cloud platforms such as AWS, Azure, and/or Google Cloud Platform.
Advanced experience designing and managing CI/CD pipelines.
Strong Infrastructure as Code experience using technologies such as Terraform.
Experience with Docker and container orchestration technologies such as Kubernetes.
Strong Linux and systems administration knowledge.
Experience with monitoring, logging, alerting, and observability platforms.
Strong understanding of networking, DNS, SSL/TLS, firewalls, load balancing, and cloud security.
Experience implementing backup, disaster recovery, and high-availability strategies.
Strong scripting and automation skills.
Experience managing secrets, credentials, IAM, and secure deployment practices.
Proven experience responding to and resolving production incidents.
Ability to independently investigate complex infrastructure problems and make sound technical decisions.
Strong written and verbal communication skills.
Ability to manage priorities across multiple projects and client environments.

AI & Modern Infrastructure Experience

Experience supporting AI infrastructure is a strong asset, including:

Deploying and operating AI-powered applications and services.
Infrastructure supporting LLM APIs and AI integrations.
Containerized AI workloads.
GPU-enabled cloud infrastructure.
Vector databases and AI data services.
Secure management of AI APIs, models, credentials, and data.
Scaling and monitoring AI workloads while managing infrastructure costs.

You don’t need to be a machine learning engineer, but you should be comfortable owning the infrastructure that allows AI applications to run securely and reliably in production.

The Kind of Engineer We’re Looking For

You’re someone who sees a manual deployment and wants to automate it.

You see a production environment without proper monitoring and want to make it observable.

You see a single point of failure and start thinking about resilience.

And when something goes wrong in production, you’re comfortable taking ownership, diagnosing the problem, communicating clearly, and getting the system healthy again.

We value engineers who combine deep technical capability with ownership, curiosity, pragmatism, and strong communication.

If you’re excited about leading DevOps initiatives, improving how enterprise software is delivered, and building reliable infrastructure for both traditional and AI-powered applications, we’d love to hear from you.

Pay: $100,000.00-$150,000.00 per year

Experience:

DevOps: 10 years (preferred)

Location:

Ontario (required)

Work Location: Hybrid remote in Ontario

Quick apply

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