Sr. DevOps Engineer to support the AI solution implementation on AWS cloud for a major insurance client - 934

Position: Sr. DevOps Engineer to support the AI solution implementation on AWS cloud for a major insurance client - 934

Duration: 12 months with possible extension

Location: Hybrid Toronto 2x on-site

Job ID: 934

Join Our Innovative AI Engineering Team as a Senior DevOps!

Our growing DevOps Team at the Data Lab is looking for a DevOps in our Toronto office. This role is part of the AI Engineering team to support the AI solution implementation on AWS cloud. The DevOps role will contribute to day-to-day operation for infrastructure deployment, management, security, monitoring, and alerting.

Must Haves:

• 4 to 5 years of experience in a software or AI engineering team AND in a DevOps role
• Experience of AWS cloud technologies, such as S3, Lambda, CloudWatch, VPC
• Experience of DevOps, IaC\CICD tools such as GitLab, GitHub, GitHub Actions, Jenkins, Terraform, Kubernetes, ELK

Working Environment:

• AI Engineering Team developing secure & large-scale AI pipelines using the latest cloud technologies.

What you'll do here:

• Assist in managing and maintaining the AI platform, including AWS or other Cloud-based services.
• Implement infrastructure as code using tools like Terraform, GitHub, GitHub Actions, and Jenkins.
• Utilize AWS services (S3, Lambda, CloudWatch, VPC) to manage and optimize our cloud infrastructure.
• Help create and maintain Continuous Integration and Continuous Deployment (CICD) pipelines.
• Work with Databricks and Snowflake
• Resolve technical issues, assist in performing root cause analysis of production issues and participate in code reviews.
• Support development teams in adopting best practices for DevOps solutions and practices.
• Collaborate with AI Engg teams to support more frequent and seamless deployments.
• Support the AI Engg team on operational aspects of the data pipeline.
• Ensure security and promote secure coding practices throughout the development lifecycle.