Cloud DevOps Architect AI Operations
1 day ago
Toronto, ON, Canada
IT Connex Inc.
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Shape cloud architecture and AI operations for enterprise applications, using AWS, Azure, or GCP alongside strong DevOps and SRE skills. Work onsite Monday through Thursday, remotely Friday.
IT Connex is recruiting a DevOps Solutions Architect for an established manufacturing company. Within the IT Enterprise Applications team, you will design secure platforms, strengthen operational reliability, and support generative AI applications. The position combines cloud infrastructure, deployment automation, identity controls, and technical roadmaps.
Key Responsibilities:
Design secure application infrastructure across hybrid clouds Implement Cloudflare and enterprise IAM security controls Contribute to modernization roadmaps and technical documentation Optimize performance and plan operational recovery Collaborate with application, infrastructure, vendor, and technology leaders Requirements:
Practical DevOps and SRE engineering experience Cloud experience including networking, security, and infrastructure as code Linux or Windows Server, monitoring, logging, and IAM knowledge Jenkins, GitHub Actions, Git, and GitHub familiarity Foundational understanding of generative AI, LLMs, and AI security Apply cloud architecture, IAM, reliability, and AI operations knowledge while modernizing enterprise applications for manufacturing environments.
Design secure application infrastructure across hybrid clouds Implement Cloudflare and enterprise IAM security controls Contribute to modernization roadmaps and technical documentation Optimize performance and plan operational recovery Collaborate with application, infrastructure, vendor, and technology leaders Requirements:
Practical DevOps and SRE engineering experience Cloud experience including networking, security, and infrastructure as code Linux or Windows Server, monitoring, logging, and IAM knowledge Jenkins, GitHub Actions, Git, and GitHub familiarity Foundational understanding of generative AI, LLMs, and AI security Apply cloud architecture, IAM, reliability, and AI operations knowledge while modernizing enterprise applications for manufacturing environments.