Azure cloud infrastructure and Kubernetes expertise define this Senior DevOps Engineer position at Canvass AI. Work across enterprise AI platform operations and deployment tooling.
Reporting to the Head of Engineering, you will own resources powering Canvass AI’s platform and DevOps tooling. The senior role combines cloud infrastructure, software engineering, automation, and platform reliability. Canvass’ cloud-native applications run in Azure or customer private clouds, using Docker, Kubernetes, Terraform, and CircleCI.
Key Responsibilities: Manage computing, storage, network, and security infrastructure
Deploy and manage Kubernetes clusters
Support customer infrastructure setup for streaming data
Ensure system uptime, scalability, reliability, and security
Monitor performance,



identify bottlenecks, and implement fixes
Requirements: Five years’ professional experience in related technical roles
Build secure, scalable cloud services in Azure, AWS, or GCP
Use Helm and Terraform to manage Kubernetes clusters
Demonstrate solid networking, Linux, and Python knowledge
Understand microservices, distributed systems, monitoring, and encryption
Apply senior DevOps expertise across Azure infrastructure, Kubernetes operations, automation, security, and Canvass AI’s enterprise platform.

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📌 Senior Azure DevOps Engineer (Manitoba)
🏢 Canvass
📍 Manitoba