toronto, on amazon cloud support engineer Jobs – 91 Openings This Week

Software Engineer – Full Stack (AI/Cloud)
Cognizant —Toronto, ON
- $60,300–$95,500 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- System design
10h
Senior Director Engineering, Home Software Applications
Generac Power Systems Inc —Toronto, ON
- $239,000–$323,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Disability insurance
- Dental care
Quick apply
Senior Field Engineer - Canada
IonQ —Toronto, ON
- Doctoral degree
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- Sales
- Designated paid holidays
- Dental care
Senior 3D & AI Systems Software Developer
CoLab Software —Toronto, ON
- Full-time
- Remote
- CAD
- Databases
- SQL
- Dental care
Quick apply

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Software Engineer – Full Stack (AI/Cloud)

Cognizant -
Toronto, ON

Apply Now

Job details

Full-time
$60,300–$95,500 a year
10 hours ago

Qualifications

Node.js
Computer Science
React
Full-stack development
Relational databases
Enterprise software
DevOps
System design
Test automation
Google Cloud Platform
AWS
Docker
Bachelor's
PostgreSQL
Terraform
REST
Django
GitHub
APIs
S3
GraphQL
AI
Business
TypeScript
GitLab
Python
Information Technology

Full job description

About the role
As a Software Engineer – Full Stack (AI/Cloud), you will make an impact by designing and delivering scalable, AI-powered, enterprise-grade applications across modern cloud platforms. You will be a valued member of the engineering team and work collaboratively with product, DevOps, and cross-functional stakeholders to build secure, high-performing digital platforms.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

In this role, you will:
Architect, build, and scale end-to-end applications, ensuring performance, resilience, and scalability
Develop responsive, accessible, and high-performing frontend applications using modern frameworks
Design and implement robust backend systems, including RESTful and GraphQL APIs and microservices architectures
Build and maintain automated CI/CD pipelines with strong testing, containerization, and deployment strategies (e.g., blue/green, canary)
Integrate enterprise AI capabilities using platforms such as AWS Bedrock or Google Vertex AI, including RAG pipelines and vector databases
Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate development while focusing on architecture, quality, and system design
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada.
Regardless of your working arrangement, we are here to support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on business or client needs. We will always be clear about role expectations.
What you need to have to be considered
Strong experience in full stack development using TypeScript, React, and Next.js for frontend development
Backend expertise in Node.js (Express/NestJS) and/or Python (FastAPI/Django)
Hands-on experience with relational databases (PostgreSQL/Aurora) and vector databases (pgvector, OpenSearch, Pinecone)
Deep knowledge of cloud platforms (AWS or GCP), including services such as Lambda, ECS/EKS, API Gateway, S3, or GKE and Cloud Functions
Experience implementing Infrastructure as Code using Terraform, AWS CDK, or equivalent tools
Practical experience with AI/ML integration, including Amazon Bedrock, Vertex AI, and frameworks like LangChain or LlamaIndex
Strong understanding of DevOps practices, including Docker, CI/CD tools, and observability platforms (Datadog, CloudWatch, etc.)
Experience with automated testing frameworks (Jest, PyTest, Playwright, Cypress)
These will help you stand out
Experience building RAG-based AI architectures and integrating large language models into enterprise applications
Advanced proficiency with AI coding assistants (e.g., Cursor, GitHub Copilot, GitLab Duo)
Experience designing high-throughput, enterprise-scale systems
Familiarity with modern deployment strategies such as blue/green and canary releases
Strong understanding of system design, scalability patterns, and performance optimization
Note: Certain roles may require candidates to attend in-person interviews at Cognizant offices or client locations, depending on project requirements.
Bachelor’s degree in computer science, IT or equivalent

Total compensation:
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD $60,300 to $95,500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.

Apply Now

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amazon cloud support engineer jobs in toronto, on

Software Engineer – Full Stack (AI/Cloud)

Senior Director Engineering, Home Software Applications

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