Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 2 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design, develop, and implement AWS cloud infrastructure, with a focus on AI/ML workloads, and build scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management. Automate infrastructure provisioning with tools such as CloudFormation and Terraform, and collaborate with data science and DevOps teams to optimize AI/ML pipeline performance, cost, and scalability while meeting security and compliance standards.
Job details
Iris Software, a multinational investment banking and financial services corporation, is hiring an AWS Cloud DevOps Engineer. Our client is a world-leading financial services company that provides consumers, corporations, governments, and institutions with a broad range of financial services and products. Title: AWS Cloud DevOps Eng Location: Toronto, ON Duration: Multiple Years (Open-ended SOW) Hybrid Schedule: In-office 2 days per week Role Description: AWS cloud developer for infrastructure provisioning skills and Cloud DevOps background and worked/working experience on CDK/TerraForm Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads. Build and manage scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management. Automate infrastructure provisioning using IaC tools (e.g., CloudFormation, Terraform) adhering to security and compliance standards. Collaborate with data science and DevOps teams to optimize performance, cost, and scalability of AI/ML pipelines in the cloud. Kind regards, Amarpreet Singh Jaggi Sr. Talent Acquisition Iris Software US Office: 200 Metroplex Dr. Edison, NJ 08817 Canada Office: 200 Bay St., Toronto, Ontario M5J 2J1 Email: amarpreet.singh@irissoftware.com | www.irissoftware.com
What you’ll do
Design, develop, and implement AWS cloud infrastructure, with a focus on AI/ML workloads, and build scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management. Automate infrastructure provisioning with tools such as CloudFormation and Terraform, and collaborate with data science and DevOps teams to optimize AI/ML pipeline performance, cost, and scalability while meeting security and compliance standards.
Requirements
The role calls for AWS cloud development and infrastructure provisioning skills, along with a Cloud DevOps background and experience with CDK and/or Terraform. It also requires the ability to build and manage scalable AWS environments for AI/ML workloads and automate infrastructure in accordance with security and compliance standards.
Listed skills
- Amazon Web Services · Preferred
- Terraform · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS
- Cloud DevOps
- Infrastructure Provisioning
- Cloud Development Kit (CDK)
- Terraform
- CloudFormation
- Amazon SageMaker
- AI/ML Workloads
- Infrastructure as Code
- Cloud Infrastructure Design
- Model Training
- Model Deployment
- Lifecycle Management
- Security and Compliance
- Performance Optimization
- Cost Optimization
Job areas
- Technology
- Software
- Data & Analytics
- Finance & Accounting
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