Cloud Infrastructure Engineer AWS, Azure, AIML

Toronto - Canada

Monthly Salary: CAD 10 - 10

Experience Required: 5years

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description: Cloud Infrastructure Engineer (AWS & Azure AI/ML Focus)

Overview

We are seeking a highly skilled Cloud Infrastructure Engineer with 810 years of experience designing building and supporting large-scale cloud platforms across AWS and Azure. This role focuses on enabling AI/ML workloads building scalable infrastructure and implementing DevOps-driven automation using CDK CDKTF and Terraform.

Key Responsibilities

1. Cloud Infrastructure Design & Engineering

Work closely with a team of Cloud Engineers to design build and maintain robust scalable AWS infrastructure.

Architect and provision AWS platform services required to support AI and Machine Learning applications.

Develop end-to-end cloud solutions with a strong emphasis on scalability reliability and performance.

2. Collaboration with Development & Product Teams

Partner with development teams to analyze technical requirements and translate them into cloud architecture and platform services.

Work with Product Managers to design tools that support:

Experimentation environments

ML model training workflows

Production-grade ML operations

3. Data & DevOps Engineering

Design and provision end-to-end data solutions enabled by DevOps practices using AWS CDK CDKTF or Terraform.

Build scalable low-latency systems and implement capacity planning frameworks.

Design and manage data pipelines ensuring efficiency and availability.

4. Reliability Resilience & Disaster Recovery

Implement disaster recovery strategies and highly available architectures for critical cloud workloads.

Ensure systems meet reliability security and operational excellence standards.

5. Engineering Excellence & Delivery

Promote software engineering best practices including:

Highquality coding standards

Rigorous code reviews

Strong documentation practices

Identify and resolve technical challenges proactively.

Prioritize and balance projects to meet organizational goals efficiently.

MustHave Skills & Qualifications

Cloud Platforms

Strong experience architecting provisioning and managing AWS cloud infrastructure.

Hands-on experience deploying and supporting Azure cloud solutions.

Development & Automation

Proficiency in at least one programming language:

TypeScript

Python (including Boto3 for AWS automation)

Experience building CI/CD pipelines (e.g. AWS CodePipeline Azure DevOps GitHub Actions).

Infrastructure as Code

Hands-on experience with:

AWS CDK

CDK for Terraform (CDKTF)

Terraform

AI/ML & Azure Data Services

Experience configuring and deploying Azure AI & Data services such as:

Microsoft OpenAI / Azure OpenAI

Azure AI Search

Azure AI Translator

Power BI

Azure Data Lake Storage

Azure Databricks

Azure Data Factory

Azure Machine Learning

Azure SQL Database

Containerization

Experience with Docker and container-based deployment workflows.

Problem Solving & Communication

Strong decision-making technical consulting and problem-solving abilities.

Ability to collaborate effectively with internal and external stakeholders.

Required Skills:

Experience (Years): 8-10

Job Description: Cloud Infrastructure Engineer (AWS & Azure AI/ML Focus)OverviewWe are seeking a highly skilled Cloud Infrastructure Engineer with 810 years of experience designing building and supporting large-scale cloud platforms across AWS and Azure. This role focuses on enabling AI/ML workload...