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Senior DevOps Engineer AI Platforms
Job in
London, Ontario, K5Z, Canada
Listed on 2026-10-11
Listing for:
Systematix
Full Time
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure, Azure
Job Description & How to Apply Below
Elevate engineering practices as a Senior Dev Ops Engineer for AI & Data s hands-on role focuses on automating infrastructure and building critical CI/CD pipelines.
Systematix seeks a skilled professional with extensive Dev Ops engineering experience, particularly in automated infrastructure and CI/CD pipelines in AI and data platforms. You will work alongside Platform Engineering and MLOps teams to create efficient, reliable engineering processes that enhance deployment speed and operational effectiveness.
Key Responsibilities:
• Design CI/CD pipelines for cloud infrastructure and AI workloads
• Automate Azure cloud provisioning with Infrastructure as Code
• Troubleshoot deployment issues through incident management
• Develop and maintain reusable engineering tools and templates
• Integrate CI/CD workflows with Git Hub Actions and container support
Requirements:
• 10+ years of Dev Ops engineering experience
• Strong hands-on experience with Microsoft Azure
• Expertise in CI/CD pipeline design and automation
• Proficiency with Docker and Kubernetes
• Advanced scripting and automation skills
Drive automation and transform infrastructure management to support enterprise AI initiatives at Systematix.
Position Requirements
10+ Years
work experience
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